diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Attribute.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Attribute.log
new file mode 100644
index 0000000000000000000000000000000000000000..e729d06ca34a3f383f48abba2e36245e929576cc
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Attribute.log
@@ -0,0 +1,31 @@
+[2026-06-22 18:35:43 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Dynamic_Attribute --dimension Dynamic_Attribute --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Dynamic_Attribute', dimension=['Dynamic_Attribute'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-06-22-18:35:46_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 18:35:49.047638: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782153349.067460 3063110 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782153349.074275 3063110 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782153349.092817 3063110 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782153349.092880 3063110 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782153349.092889 3063110 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782153349.092896 3063110 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 18:35:49.097227: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-06-22-18:35:46_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 18:35:55,625 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00,  1.21s/it]
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-06-22-18:35:46_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Spatial_Relationship.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Spatial_Relationship.log
new file mode 100644
index 0000000000000000000000000000000000000000..d4b6852fbadac008ee0bfc22b50e3eb489069313
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Dynamic_Spatial_Relationship.log
@@ -0,0 +1,31 @@
+[2026-06-22 19:03:13 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Dynamic_Spatial_Relationship --dimension Dynamic_Spatial_Relationship --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Dynamic_Spatial_Relationship', dimension=['Dynamic_Spatial_Relationship'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-22-19:03:17_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 19:03:19.835619: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782154999.857188 3076605 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782154999.864156 3076605 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782154999.888978 3076605 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782154999.889051 3076605 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782154999.889062 3076605 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782154999.889071 3076605 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 19:03:19.893790: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-22-19:03:17_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 19:03:27,319 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-22-19:03:17_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Anatomy_shard_1.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Anatomy_shard_1.log
new file mode 100644
index 0000000000000000000000000000000000000000..dd9dd4838616b9415b3a275e3979af37eace4caf
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Anatomy_shard_1.log
@@ -0,0 +1,34 @@
+[2026-06-22 21:20:21 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Human_Anatomy --dimension Human_Anatomy --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/shard_1 --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/full_info_shard_1.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/shard_1', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/full_info_shard_1.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Human_Anatomy', dimension=['Human_Anatomy'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/shard_1/results_2026-06-22-21:20:24_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+06/22 21:20:28 - mmengine - INFO - Adafactor is already registered in optimizer at torch.optim. Registration ignored.
+/usr/local/lib/python3.12/site-packages/imagecorruptions/corruptions.py:17: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
+  from pkg_resources import resource_filename
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/shard_1/results_2026-06-22-21:20:24_full_info.json
+2026-06-22 21:20:31.981327: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782163232.000442 3196082 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782163232.007091 3196082 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782163232.024756 3196082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782163232.024798 3196082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782163232.024807 3196082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782163232.024815 3196082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-06-22 21:20:36,874 - lvis.lvis - INFO - Loading annotations.
+2026-06-22 21:20:37,605 - lvis.lvis - INFO - Creating index.
+2026-06-22 21:20:37,640 - lvis.lvis - INFO - Index created.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-06-22 21:20:42,084 - lvis.lvis - INFO - Loading annotations.
+2026-06-22 21:20:42,835 - lvis.lvis - INFO - Creating index.
+2026-06-22 21:20:42,942 - lvis.lvis - INFO - Index created.
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+/usr/local/lib/python3.12/site-packages/torch/functional.py:505: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4317.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Anatomy_shards/2026-06-22-21:20:21/shard_1/results_2026-06-22-21:20:24_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Clothes.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Clothes.log
new file mode 100644
index 0000000000000000000000000000000000000000..185a945536e16d20e2bf7a9df8af54688aae4e9a
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Human_Clothes.log
@@ -0,0 +1,33 @@
+[2026-06-22 19:11:43 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Human_Clothes --dimension Human_Clothes --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Clothes --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Clothes', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Human_Clothes', dimension=['Human_Clothes'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-06-22-19:11:46_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 19:11:48.878771: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782155508.898973 3081735 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782155508.905762 3081735 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782155508.924521 3081735 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782155508.924564 3081735 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782155508.924574 3081735 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782155508.924582 3081735 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 19:11:48.929038: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-06-22-19:11:46_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 19:11:55,251 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
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+Model Class: LlavaQwenForCausalLM
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-06-22-19:11:46_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_2.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_2.log
new file mode 100644
index 0000000000000000000000000000000000000000..622070462b75804684d4829dbb112b0dcdecb95a
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_2.log
@@ -0,0 +1,47 @@
+[2026-06-23 03:08:23 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Instance_Preservation --dimension Instance_Preservation --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_2 --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/full_info_shard_2.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_2', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/full_info_shard_2.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Instance_Preservation', dimension=['Instance_Preservation'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_2/results_2026-06-23-03:08:26_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-23 03:08:29.425724: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782184109.445022 3295554 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782184109.451721 3295554 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782184109.469753 3295554 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.469794 3295554 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.469803 3295554 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.469811 3295554 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+[INFO:swift] Successfully registered `/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/Instance_detector/swift/llm/dataset/data/dataset_info.json`.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_2/results_2026-06-23-03:08:26_full_info.json
+[INFO:swift] Successfully loaded /root/ckpts/vbench2/instance_anomaly_detector/model/args.json.
+[INFO:swift] Loading the model using model_dir: /root/ckpts/huggingface/Qwen/Qwen2.5-VL-3B-Instruct
+[INFO:swift] Setting torch_dtype: torch.bfloat16
+Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
+[INFO:swift] model_kwargs: {'device_map': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.40s/it]
+[INFO:swift] Setting image_factor: 28. You can adjust this hyperparameter through the environment variable: `IMAGE_FACTOR`.
+[INFO:swift] Setting min_pixels: 3136. You can adjust this hyperparameter through the environment variable: `MIN_PIXELS`.
+[INFO:swift] Using environment variable `MAX_PIXELS`, Setting max_pixels: 1003520.
+[INFO:swift] Setting max_ratio: 200. You can adjust this hyperparameter through the environment variable: `MAX_RATIO`.
+[INFO:swift] Using environment variable `VIDEO_MIN_PIXELS`, Setting video_min_pixels: 100352.
+[INFO:swift] Using environment variable `VIDEO_MAX_PIXELS`, Setting video_max_pixels: 602112.
+[INFO:swift] Using environment variable `VIDEO_TOTAL_PIXELS`, Setting video_total_pixels: 90316800.
+[INFO:swift] Setting frame_factor: 2. You can adjust this hyperparameter through the environment variable: `FRAME_FACTOR`.
+[INFO:swift] Setting fps: 2.0. You can adjust this hyperparameter through the environment variable: `FPS`.
+[INFO:swift] Using environment variable `FPS_MIN_FRAMES`, Setting fps_min_frames: 32.
+[INFO:swift] Using environment variable `FPS_MAX_FRAMES`, Setting fps_max_frames: 50.
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_2/results_2026-06-23-03:08:26_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_5.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_5.log
new file mode 100644
index 0000000000000000000000000000000000000000..01f05b7c07902c7e282beff979a3f2b3b1f8b567
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_5.log
@@ -0,0 +1,47 @@
+[2026-06-23 03:08:23 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Instance_Preservation --dimension Instance_Preservation --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_5 --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/full_info_shard_5.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_5', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/full_info_shard_5.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Instance_Preservation', dimension=['Instance_Preservation'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_5/results_2026-06-23-03:08:26_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-23 03:08:29.538846: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782184109.557629 3295557 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782184109.564044 3295557 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782184109.581063 3295557 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.581108 3295557 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.581117 3295557 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782184109.581125 3295557 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+[INFO:swift] Successfully registered `/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/Instance_detector/swift/llm/dataset/data/dataset_info.json`.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_5/results_2026-06-23-03:08:26_full_info.json
+[INFO:swift] Successfully loaded /root/ckpts/vbench2/instance_anomaly_detector/model/args.json.
+[INFO:swift] Loading the model using model_dir: /root/ckpts/huggingface/Qwen/Qwen2.5-VL-3B-Instruct
+[INFO:swift] Setting torch_dtype: torch.bfloat16
+Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
+[INFO:swift] model_kwargs: {'device_map': 'cuda:0'}
+
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.44s/it]
+[INFO:swift] Setting image_factor: 28. You can adjust this hyperparameter through the environment variable: `IMAGE_FACTOR`.
+[INFO:swift] Setting min_pixels: 3136. You can adjust this hyperparameter through the environment variable: `MIN_PIXELS`.
+[INFO:swift] Using environment variable `MAX_PIXELS`, Setting max_pixels: 1003520.
+[INFO:swift] Setting max_ratio: 200. You can adjust this hyperparameter through the environment variable: `MAX_RATIO`.
+[INFO:swift] Using environment variable `VIDEO_MIN_PIXELS`, Setting video_min_pixels: 100352.
+[INFO:swift] Using environment variable `VIDEO_MAX_PIXELS`, Setting video_max_pixels: 602112.
+[INFO:swift] Using environment variable `VIDEO_TOTAL_PIXELS`, Setting video_total_pixels: 90316800.
+[INFO:swift] Setting frame_factor: 2. You can adjust this hyperparameter through the environment variable: `FRAME_FACTOR`.
+[INFO:swift] Setting fps: 2.0. You can adjust this hyperparameter through the environment variable: `FPS`.
+[INFO:swift] Using environment variable `FPS_MIN_FRAMES`, Setting fps_min_frames: 32.
+[INFO:swift] Using environment variable `FPS_MAX_FRAMES`, Setting fps_max_frames: 50.
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/2026-06-23-03:08:22/shard_5/results_2026-06-23-03:08:26_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Mechanics.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Mechanics.log
new file mode 100644
index 0000000000000000000000000000000000000000..a563789d4b72474b2ac5ca66e6e52184b01e2290
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Mechanics.log
@@ -0,0 +1,31 @@
+[2026-06-22 19:55:43 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Mechanics --dimension Mechanics --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Mechanics --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Mechanics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Mechanics', dimension=['Mechanics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-06-22-19:55:46_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 19:55:48.519532: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782158148.538555 3113593 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782158148.545105 3113593 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782158148.562539 3113593 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782158148.562582 3113593 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782158148.562591 3113593 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782158148.562600 3113593 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 19:55:48.566771: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-06-22-19:55:46_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 19:55:54,598 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
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+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-06-22-19:55:46_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Motion_Rationality.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Motion_Rationality.log
new file mode 100644
index 0000000000000000000000000000000000000000..a127462721ea31ece5aa5f47654d89c9ad256d34
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Motion_Rationality.log
@@ -0,0 +1,31 @@
+[2026-06-22 20:41:13 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Motion_Rationality --dimension Motion_Rationality --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Motion_Rationality --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Motion_Rationality', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Motion_Rationality', dimension=['Motion_Rationality'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-06-22-20:41:16_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 20:41:18.660701: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782160878.679842 3124928 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782160878.686407 3124928 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782160878.703834 3124928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782160878.703874 3124928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782160878.703883 3124928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782160878.703891 3124928 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 20:41:18.708104: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-06-22-20:41:16_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 20:41:25,855 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-06-22-20:41:16_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Thermotics.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Thermotics.log
new file mode 100644
index 0000000000000000000000000000000000000000..0d4c70ba9e77eea8071d97d33d11db1743690bfa
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/logs/vbench2_parallel/Thermotics.log
@@ -0,0 +1,31 @@
+[2026-06-22 21:06:43 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Thermotics --dimension Thermotics --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Thermotics --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Thermotics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/videos/Thermotics', dimension=['Thermotics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-06-22-21:06:46_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-22 21:06:48.576008: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1782162408.595259 3192887 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1782162408.601952 3192887 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1782162408.619931 3192887 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782162408.619983 3192887 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782162408.619992 3192887 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1782162408.620000 3192887 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-22 21:06:48.624329: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/LLaVA_NeXT/llava/model/llava_arch.py:215: SyntaxWarning: "is not" with 'int' literal. Did you mean "!="?
+  if slower_img_feat is not 0:
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-06-22-21:06:46_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-22 21:06:54,500 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00,  1.23s/it]
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/50 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-06-22-21:06:46_eval_results.json
+done
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..9f5b6e43c066685d74c69d95f48774865d6b1534
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug-internal.log
@@ -0,0 +1,19 @@
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+{"time":"2026-06-29T18:40:47.00928851Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T18:41:01.839422055Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T18:41:16.848783239Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T18:41:31.455823407Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":576,"events_lines":2}
+{"time":"2026-06-29T18:41:31.724666236Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T18:41:46.456607312Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":578,"events_lines":2}
+{"time":"2026-06-29T18:41:46.694582586Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T18:42:01.456681904Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":580,"events_lines":2}
+{"time":"2026-06-29T18:42:01.767313215Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5f5aa91e61e397f2e3e842b741157d00a9701546
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/debug.log
@@ -0,0 +1,20 @@
+2026-06-29 18:40:45,206 INFO    MainThread:83423 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_setup.py:_flush():81] Configure stats pid to 83423
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug.log
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug-internal.log
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:init():768] calling init triggers
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:init():816] starting backend
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+2026-06-29 18:40:45,731 INFO    MainThread:83423 [wandb_init.py:init():906] updated telemetry
+2026-06-29 18:40:45,761 INFO    MainThread:83423 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 18:40:46,248 INFO    MainThread:83423 [wandb_init.py:init():969] run resumed
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+2026-06-29 18:40:46,450 INFO    MainThread:83423 [wandb_run.py:_console_start():2523] atexit reg
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..145d81f72c3cbedd8427f4ed9ef46b8c8d37373c
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/output.log
@@ -0,0 +1,4630 @@
+2026-06-19 01:30:13.614 | INFO     | __main__:print_training_configuration:967 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-19 01:30:13.614 | INFO     | __main__:print_training_configuration:968 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.615 | INFO     | __main__:print_training_configuration:969 - Number of GPUs                                   : 64
+2026-06-19 01:30:13.615 | INFO     | __main__:print_training_configuration:970 - Local rank                                       : 0
+2026-06-19 01:30:13.616 | INFO     | __main__:print_training_configuration:971 - Global rank                                      : 0
+2026-06-19 01:30:13.616 | INFO     | __main__:print_training_configuration:972 - Device                                           : cuda:0
+2026-06-19 01:30:13.617 | INFO     | __main__:print_training_configuration:973 - Master weight dtype                              : torch.float32
+2026-06-19 01:30:13.617 | INFO     | __main__:print_training_configuration:975 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.618 | INFO     | __main__:print_training_configuration:976 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-19 01:30:13.618 | INFO     | __main__:print_training_configuration:977 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.629 | INFO     | __main__:print_training_configuration:980 - Number of total                                  : 8,326,608,160
+2026-06-19 01:30:13.630 | INFO     | __main__:print_training_configuration:981 - Total trainable parameters                        : 8,326,608,160
+2026-06-19 01:30:13.630 | INFO     | __main__:print_training_configuration:982 - DIT model root                                   : ./ckpts
+2026-06-19 01:30:13.631 | INFO     | __main__:print_training_configuration:983 - Transformer version                              : 480p_t2v
+2026-06-19 01:30:13.631 | INFO     | __main__:print_training_configuration:984 - Attention mode                                   : flash
+2026-06-19 01:30:13.632 | INFO     | __main__:print_training_configuration:985 - Gradient checkpointing                           : True
+2026-06-19 01:30:13.632 | INFO     | __main__:print_training_configuration:986 - FSDP enabled                                     : True
+2026-06-19 01:30:13.632 | INFO     | __main__:print_training_configuration:987 - LoRA enabled                                     : False
+2026-06-19 01:30:13.633 | INFO     | __main__:print_training_configuration:988 - Glyph byT5 v2                                    : True
+2026-06-19 01:30:13.633 | INFO     | __main__:print_training_configuration:989 - ByT5 max length                                  : 256
+2026-06-19 01:30:13.634 | INFO     | __main__:print_training_configuration:991 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.634 | INFO     | __main__:print_training_configuration:992 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-19 01:30:13.634 | INFO     | __main__:print_training_configuration:993 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.635 | INFO     | __main__:print_training_configuration:994 - World size                                       : 64
+2026-06-19 01:30:13.635 | INFO     | __main__:print_training_configuration:995 - DP degree                                        : 32
+2026-06-19 01:30:13.636 | INFO     | __main__:print_training_configuration:996 - DP rank                                          : 0
+2026-06-19 01:30:13.636 | INFO     | __main__:print_training_configuration:997 - SP size                                          : 2
+2026-06-19 01:30:13.637 | INFO     | __main__:print_training_configuration:998 - SP rank                                          : 0
+2026-06-19 01:30:13.637 | INFO     | __main__:print_training_configuration:1000 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.637 | INFO     | __main__:print_training_configuration:1001 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-19 01:30:13.638 | INFO     | __main__:print_training_configuration:1002 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.638 | INFO     | __main__:print_training_configuration:1003 - Per GPU batch size                               : 2
+2026-06-19 01:30:13.639 | INFO     | __main__:print_training_configuration:1004 - DP degree batch size                             : 64
+2026-06-19 01:30:13.639 | INFO     | __main__:print_training_configuration:1005 - Gradient accumulation steps                      : 1
+2026-06-19 01:30:13.639 | INFO     | __main__:print_training_configuration:1006 - Num generations                                  : 4
+2026-06-19 01:30:13.640 | INFO     | __main__:print_training_configuration:1007 - Use same noise                                   : False
+2026-06-19 01:30:13.640 | INFO     | __main__:print_training_configuration:1008 - Num workers                                      : 4
+2026-06-19 01:30:13.641 | INFO     | __main__:print_training_configuration:1009 - Prefetch factor                                  : 2
+2026-06-19 01:30:13.641 | INFO     | __main__:print_training_configuration:1011 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.641 | INFO     | __main__:print_training_configuration:1012 - OPTIMIZATION CONFIGURATION
+2026-06-19 01:30:13.642 | INFO     | __main__:print_training_configuration:1013 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.642 | INFO     | __main__:print_training_configuration:1014 - Optimizer                                        : muon
+2026-06-19 01:30:13.643 | INFO     | __main__:print_training_configuration:1015 - Learning rate                                    : 1e-05
+2026-06-19 01:30:13.643 | INFO     | __main__:print_training_configuration:1016 - Weight decay                                     : 0.01
+2026-06-19 01:30:13.643 | INFO     | __main__:print_training_configuration:1017 - Max gradient norm                                : 1.0
+2026-06-19 01:30:13.644 | INFO     | __main__:print_training_configuration:1018 - LR scheduler                                     : constant
+2026-06-19 01:30:13.644 | INFO     | __main__:print_training_configuration:1019 - Warmup steps                                     : 500
+2026-06-19 01:30:13.645 | INFO     | __main__:print_training_configuration:1020 - Max training steps                               : 10000
+2026-06-19 01:30:13.645 | INFO     | __main__:print_training_configuration:1022 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.645 | INFO     | __main__:print_training_configuration:1023 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-19 01:30:13.646 | INFO     | __main__:print_training_configuration:1024 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.646 | INFO     | __main__:print_training_configuration:1025 - Validation interval                              : 0
+2026-06-19 01:30:13.647 | INFO     | __main__:print_training_configuration:1026 - Validate at step 0                               : False
+2026-06-19 01:30:13.647 | INFO     | __main__:print_training_configuration:1027 - Validation video length                          : 121
+2026-06-19 01:30:13.647 | INFO     | __main__:print_training_configuration:1028 - Validation global seed                           : 930
+2026-06-19 01:30:13.648 | INFO     | __main__:print_training_configuration:1029 - Validation inference steps                        : 40
+2026-06-19 01:30:13.648 | INFO     | __main__:print_training_configuration:1030 - Validation aspect ratio                          : 16:9
+2026-06-19 01:30:13.649 | INFO     | __main__:print_training_configuration:1031 - Validation fixed size                            : 480x864
+2026-06-19 01:30:13.649 | INFO     | __main__:print_training_configuration:1032 - Validation prompt rewrite                         : False
+2026-06-19 01:30:13.650 | INFO     | __main__:print_training_configuration:1033 - Validation flow shift                             : 5.0
+2026-06-19 01:30:13.650 | INFO     | __main__:print_training_configuration:1034 - Sampling CFG scale                                : 6.0
+2026-06-19 01:30:13.650 | INFO     | __main__:print_training_configuration:1035 - Sampling eta                                      : 0.5
+2026-06-19 01:30:13.651 | INFO     | __main__:print_training_configuration:1036 - Sampling steps (GRPO rollout)                     : 20
+2026-06-19 01:30:13.651 | INFO     | __main__:print_training_configuration:1037 - Token credit loss mode                            : video_adv
+2026-06-19 01:30:13.651 | INFO     | __main__:print_training_configuration:1038 - Token credit ratio mode                           : weighted_logprob
+2026-06-19 01:30:13.652 | INFO     | __main__:print_training_configuration:1039 - Token credit shuffle weights                      : False
+2026-06-19 01:30:13.652 | INFO     | __main__:print_training_configuration:1040 - Token credit spatial granularity                  : window
+2026-06-19 01:30:13.653 | INFO     | __main__:print_training_configuration:1041 - Token credit spatial bins                         : 16
+2026-06-19 01:30:13.653 | INFO     | __main__:print_training_configuration:1042 - Token credit spatial window                       : 3
+2026-06-19 01:30:13.653 | INFO     | __main__:print_training_configuration:1043 - Token credit chunk size                           : 1
+2026-06-19 01:30:13.654 | INFO     | __main__:print_training_configuration:1044 - Token credit source model                         : None
+2026-06-19 01:30:13.654 | INFO     | __main__:print_training_configuration:1045 - Token credit advantage source                     : token
+2026-06-19 01:30:13.655 | INFO     | __main__:print_training_configuration:1046 - Random train timestep count                       : False
+2026-06-19 01:30:13.655 | INFO     | __main__:print_training_configuration:1047 - Random train timestep range                       : 1-20
+2026-06-19 01:30:13.655 | INFO     | __main__:print_training_configuration:1051 - SDE type                                          : sage_grpo
+2026-06-19 01:30:13.656 | INFO     | __main__:print_training_configuration:1053 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.656 | INFO     | __main__:print_training_configuration:1054 - GRPO & KL CONFIGURATION
+2026-06-19 01:30:13.657 | INFO     | __main__:print_training_configuration:1055 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.657 | INFO     | __main__:print_training_configuration:1056 - Reward model                                     : snapvideo_vlm
+2026-06-19 01:30:13.657 | INFO     | __main__:print_training_configuration:1057 - Reward gradient credit                          : False
+2026-06-19 01:30:13.658 | INFO     | __main__:print_training_configuration:1058 - Reward credit frames                            : 0
+2026-06-19 01:30:13.658 | INFO     | __main__:print_training_configuration:1059 - Reward credit max questions                     : 0
+2026-06-19 01:30:13.659 | INFO     | __main__:print_training_configuration:1060 - Reward credit metric                            : weighted
+2026-06-19 01:30:13.659 | INFO     | __main__:print_training_configuration:1062 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-19 01:30:13.659 | INFO     | __main__:print_training_configuration:1063 - VLM reward model family                          : qwen3_5
+2026-06-19 01:30:13.660 | INFO     | __main__:print_training_configuration:1064 - VLM reward frames                                : 20
+2026-06-19 01:30:13.660 | INFO     | __main__:print_training_configuration:1065 - VLM reward max pixels                            : 50176
+2026-06-19 01:30:13.661 | INFO     | __main__:print_training_configuration:1066 - VLM reward score type                            : token_credit
+2026-06-19 01:30:13.661 | INFO     | __main__:print_training_configuration:1067 - VLM reward max new tokens                        : 128
+2026-06-19 01:30:13.661 | INFO     | __main__:print_training_configuration:1068 - VLM reward batch size                            : 1
+2026-06-19 01:30:13.662 | INFO     | __main__:print_training_configuration:1069 - VLM reward missing score                         : 0.0
+2026-06-19 01:30:13.662 | INFO     | __main__:print_training_configuration:1072 - KL weight                                        : 1e-05
+2026-06-19 01:30:13.663 | INFO     | __main__:print_training_configuration:1073 - KL coef                                          : 1e-07
+2026-06-19 01:30:13.663 | INFO     | __main__:print_training_configuration:1074 - Use moving KL                                    : True
+2026-06-19 01:30:13.663 | INFO     | __main__:print_training_configuration:1075 - Update ref model step                            : 10
+2026-06-19 01:30:13.664 | INFO     | __main__:print_training_configuration:1076 - Use dual KL                                      : True
+2026-06-19 01:30:13.665 | INFO     | __main__:print_training_configuration:1077 - Dual KL moving weight                            : 1.0
+2026-06-19 01:30:13.665 | INFO     | __main__:print_training_configuration:1078 - Dual KL step weight                              : 0.1
+2026-06-19 01:30:13.665 | INFO     | __main__:print_training_configuration:1079 - KL compute mode                                  : rollout_phase
+2026-06-19 01:30:13.666 | INFO     | __main__:print_training_configuration:1080 - Use grad balancing                               : True
+2026-06-19 01:30:13.666 | INFO     | __main__:print_training_configuration:1081 - Enable timestep permutation                      : True
+2026-06-19 01:30:13.666 | INFO     | __main__:print_training_configuration:1082 - Reference mode offload                           : True
+2026-06-19 01:30:13.667 | INFO     | __main__:print_training_configuration:1084 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.667 | INFO     | __main__:print_training_configuration:1085 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-19 01:30:13.668 | INFO     | __main__:print_training_configuration:1086 - --------------------------------------------------------------------------------
+2026-06-19 01:30:13.668 | INFO     | __main__:print_training_configuration:1087 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-19 01:30:13.668 | INFO     | __main__:print_training_configuration:1088 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-19 01:30:13.669 | INFO     | __main__:print_training_configuration:1089 - Checkpoint interval                              : 25
+2026-06-19 01:30:13.669 | INFO     | __main__:print_training_configuration:1090 - Timer checkpoint interval                        : 0
+2026-06-19 01:30:13.670 | INFO     | __main__:print_training_configuration:1091 - Auto resume from timer                           : True
+2026-06-19 01:30:13.670 | INFO     | __main__:print_training_configuration:1092 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-19 01:30:13.670 | INFO     | __main__:print_training_configuration:1093 - Log interval                                     : 1
+2026-06-19 01:30:13.671 | INFO     | __main__:print_training_configuration:1094 - Resume checkpoint                                : None
+2026-06-19 01:30:13.671 | INFO     | __main__:print_training_configuration:1095 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-19 01:30:13.672 | INFO     | __main__:print_training_configuration:1096 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-19 01:30:13.672 | INFO     | __main__:print_training_configuration:1097 - Seed                                             : 42
+2026-06-19 01:30:13.672 | INFO     | __main__:print_training_configuration:1098 - WandB enabled                                    : True
+2026-06-19 01:30:13.673 | INFO     | __main__:print_training_configuration:1100 - WandB project                                    : SAGE-GRPO
+2026-06-19 01:30:13.673 | INFO     | __main__:print_training_configuration:1101 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-19 01:30:13.674 | INFO     | __main__:__init__:955 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-19 01:30:13.674 | INFO     | __main__:_build_video_dataset:2046 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-19 01:30:14.326 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-19 01:30:14.327 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-19 01:30:14.327 | INFO     | __main__:_train_grpo:2129 - Starting GRPO training...
+2026-06-19 01:30:14.328 | INFO     | __main__:_train_grpo:2130 - Max steps: 10000
+2026-06-19 01:30:14.328 | INFO     | __main__:_train_grpo:2131 - Batch size: 2
+2026-06-19 01:30:14.329 | INFO     | __main__:_train_grpo:2132 - Learning rate: 1e-05
+2026-06-19 01:30:14.533 | INFO     | __main__:_resolve_resume_checkpoint:1828 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; starting from scratch.
+Iterator of DistributedSamplerWithStartIndex created.
+2026-06-19 01:30:15.891 | INFO     | __main__:_train_grpo:2159 - [FLAG] post_train train path -> train_one_step
+2026-06-19 01:30:17.294 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 01:30:31.553 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 01:30:31.556 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 01:30:31.558 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:13,  3.67s/it][01:13<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:13<00:00,  3.67s/it]
+2026-06-19 01:31:52.784 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000000/group_0/index_7542_seed_28576_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 01:31:57.347 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+[transformers] Qwen3VL requires frame timestamps to construct prompts, but the `fps` of the input video could not be inferred. Probably `video_metadata` was missing from inputs and you passed pre-sampled frames. Defaulting to `fps=24`. Please provide `video_metadata` for more accurate results.
+/usr/local/lib/python3.12/site-packages/transformers/processing_utils.py:928: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments. To learn more, see the migration guide https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword
+  tokenizer_input = np.array(tokenizer_input)
+2026-06-19 01:32:14.855 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 01:32:14.865 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 01:32:14.865 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-19 01:33:22.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000000/group_0/index_7542_seed_28577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 01:33:26.125 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 01:33:43.682 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 01:33:45.514 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
+2026-06-19 01:33:51.120 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 01:34:00.986 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.44s/it]
+2026-06-19 01:35:56.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.94s (1.93min)
+2026-06-19 01:35:57.655 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 01:37:54.184 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 0: training:   0%|          | 0/2 [00:00<?, ?it/s]              2026-06-19 01:37:57.220 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3127 - Rank 0, sp_rank 0: init adaptive KL controller (init=1.000e-07, min=1.000e-07, max=1.000e-05)
+Global Step 0: training:  50%|█████     | 1/2 [03:42<03:42, 222.92s/it]it/s]          2026-06-19 01:45:11.480 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 1, train_steps: 40
+Global Step 0: training: 100%|██████████| 2/2 [07:17<00:00, 218.61s/it]:10, 10.38s/it]
+2026-06-19 01:45:12.517 | INFO     | __main__:_log_precision_diagnostics_once:1632 - [PrecisionDiag] trainable param dtypes: ['torch.float32']
+2026-06-19 01:45:12.520 | INFO     | __main__:_log_precision_diagnostics_once:1635 - [PrecisionDiag] Using composable FSDP2 mixed precision (param_dtype=bf16, reduce_dtype=float32). This path does not maintain an explicit FP32 master-weight copy for parameters.
+2026-06-19 01:45:12.523 | INFO     | __main__:_log_precision_diagnostics_once:1648 - [PrecisionDiag] optimizer tensor-state dtypes: ['torch.float32'] (count=2804)
+2026-06-19 01:45:12.524 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 1	train_steps 40	{'step': '1/10000', 'learning_rate': '0.00001000', 'loss': '-2.049e-08', 'grad_norm': '0.00421819', 'KL_weight': '0.00000396', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '340.27261353', 'grpo_loop_time': '437.77139282', 'ref_model_time': '115.94477844', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89837682', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05721623', 'token_credit_video_advantage_mean': '1.932e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.510e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.980e-08', 'kl_loss': '0.00701433', 'kl_moving': '0.00701433', 'kl_stepwise': '-1.954e-08', 'gathered_avg_reward_mean': '-0.05721624', 'gathered_avg_reward_std': '0.04290264', 'gathered_vlm_logprob_reward_mean': '-0.05721623', 'gathered_vlm_logprob_reward_std': '0.04290264', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05721623', 'gathered_vlm_token_credit_reward_std': '0.04290264', 'gathered_vlm_yes_no_margin_reward_mean': '3.79531240', 'gathered_vlm_yes_no_margin_reward_std': '0.88504153', 'gathered_vlm_yes_ratio_reward_mean': '1.00000000', 'gathered_vlm_yes_ratio_reward_std': '0.00000000', 'gathered_ori_avg_reward_mean': '-0.05721623', 'gathered_ori_avg_reward_std': '0.04290264'}
+2026-06-19 01:45:12.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 01:45:12.663 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 01:45:12.674 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 01:45:12.676 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 01:46:18.665 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000001/group_0/index_6771_seed_33047_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 01:46:23.623 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 01:46:41.280 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 01:46:41.286 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 01:46:41.287 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-06-19 01:47:47.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000001/group_0/index_6771_seed_33048_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 01:47:51.948 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 01:48:09.755 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 01:48:10.944 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 01:48:10.984 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 01:48:11.943 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-19 01:50:07.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.70s (1.93min)
+2026-06-19 01:50:08.465 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 01:52:06.954 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 1: training:  50%|█████     | 1/2 [03:28<03:28, 208.39s/it]               2026-06-19 01:59:06.755 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 2, train_steps: 80
+Global Step 1: training: 100%|██████████| 2/2 [06:59<00:00, 209.89s/it]:10, 10.43s/it]
+2026-06-19 01:59:07.328 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 2	train_steps 80	{'step': '2/10000', 'learning_rate': '0.00001000', 'loss': '-5.029e-08', 'grad_norm': '0.00557794', 'KL_weight': '0.00000792', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.84536743', 'grpo_loop_time': '419.78738403', 'ref_model_time': '115.70065308', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85087454', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08346160', 'token_credit_video_advantage_mean': '6.333e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.474e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.090e-07', 'kl_loss': '0.00747509', 'kl_moving': '0.00747509', 'kl_stepwise': '-1.927e-08', 'gathered_avg_reward_mean': '-0.08346160', 'gathered_avg_reward_std': '0.10111721', 'gathered_vlm_logprob_reward_mean': '-0.08346160', 'gathered_vlm_logprob_reward_std': '0.10111721', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08346160', 'gathered_vlm_token_credit_reward_std': '0.10111721', 'gathered_vlm_yes_no_margin_reward_mean': '3.92226553', 'gathered_vlm_yes_no_margin_reward_std': '0.78555214', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.08046496', 'gathered_ori_avg_reward_mean': '-0.08346160', 'gathered_ori_avg_reward_std': '0.10111721'}
+2026-06-19 01:59:07.380 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 01:59:07.467 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 01:59:07.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 01:59:07.478 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 02:00:13.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000002/group_0/index_5387_seed_9522_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 02:00:17.913 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:00:37.238 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:00:37.246 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:00:37.246 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.10s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.10s/it]
+2026-06-19 02:01:46.270 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000002/group_0/index_5387_seed_9523_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 02:01:50.908 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:02:08.573 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:02:10.528 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 02:02:10.600 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 02:02:11.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.50s/it]
+2026-06-19 02:04:06.723 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.88s (1.91min)
+2026-06-19 02:04:07.374 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 02:06:03.755 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 2: training:  50%|█████     | 1/2 [03:29<03:29, 209.29s/it]               2026-06-19 02:13:04.855 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 3, train_steps: 120
+Global Step 2: training: 100%|██████████| 2/2 [07:01<00:00, 210.54s/it]:10, 10.45s/it]
+2026-06-19 02:13:05.383 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 3	train_steps 120	{'step': '3/10000', 'learning_rate': '0.00001000', 'loss': '2.272e-07', 'grad_norm': '0.00870538', 'KL_weight': '0.00000120', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.94754028', 'grpo_loop_time': '421.08660889', 'ref_model_time': '114.87925720', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83928686', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12326872', 'token_credit_video_advantage_mean': '-1.062e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.474e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.751e-07', 'kl_loss': '0.00794196', 'kl_moving': '0.00794196', 'kl_stepwise': '-1.984e-08', 'gathered_avg_reward_mean': '-0.12326872', 'gathered_avg_reward_std': '0.19695151', 'gathered_vlm_logprob_reward_mean': '-0.12326873', 'gathered_vlm_logprob_reward_std': '0.19695151', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12326873', 'gathered_vlm_token_credit_reward_std': '0.19695151', 'gathered_vlm_yes_no_margin_reward_mean': '3.47070312', 'gathered_vlm_yes_no_margin_reward_std': '0.98061830', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.12326873', 'gathered_ori_avg_reward_std': '0.19695151'}
+2026-06-19 02:13:05.464 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 02:13:05.543 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 02:13:05.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:13:05.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 02:14:11.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000003/group_0/index_3341_seed_10098_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 02:14:14.828 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:14:31.979 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:14:31.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:14:31.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.07s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.07s/it]
+2026-06-19 02:15:40.543 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000003/group_0/index_3341_seed_10099_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 02:15:45.618 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:16:03.388 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:16:04.655 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 02:16:04.745 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 02:16:05.735 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.30s/it]
+2026-06-19 02:17:59.772 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.77s (1.90min)
+2026-06-19 02:18:00.448 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 02:19:59.351 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 3: training:  50%|█████     | 1/2 [03:29<03:29, 209.16s/it]               2026-06-19 02:26:59.879 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 4, train_steps: 160
+Global Step 3: training: 100%|██████████| 2/2 [07:00<00:00, 210.26s/it]:10, 10.43s/it]
+2026-06-19 02:27:00.440 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 4	train_steps 160	{'step': '4/10000', 'learning_rate': '0.00001000', 'loss': '-8.196e-08', 'grad_norm': '0.00588938', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.93695068', 'grpo_loop_time': '420.52130127', 'ref_model_time': '113.76766968', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85282952', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06691283', 'token_credit_video_advantage_mean': '4.936e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.465e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.196e-08', 'kl_loss': '0.00766911', 'kl_moving': '0.00766911', 'kl_stepwise': '-2.017e-08', 'gathered_avg_reward_mean': '-0.06691283', 'gathered_avg_reward_std': '0.07916149', 'gathered_vlm_logprob_reward_mean': '-0.06691283', 'gathered_vlm_logprob_reward_std': '0.07916149', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06691283', 'gathered_vlm_token_credit_reward_std': '0.07916149', 'gathered_vlm_yes_no_margin_reward_mean': '4.07968760', 'gathered_vlm_yes_no_margin_reward_std': '0.61494857', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.06691283', 'gathered_ori_avg_reward_std': '0.07916149'}
+2026-06-19 02:27:00.546 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 02:27:00.625 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 02:27:00.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:27:00.722 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 02:28:06.651 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000004/group_0/index_4150_seed_30223_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 02:28:10.233 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:28:27.672 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:28:27.682 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:28:27.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-19 02:29:35.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000004/group_0/index_4150_seed_30224_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 02:29:38.351 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:29:55.944 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:30:00.315 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 02:30:00.405 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 02:30:01.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-19 02:31:55.962 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.62s (1.91min)
+2026-06-19 02:31:56.651 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 02:33:53.225 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 4: training:  50%|█████     | 1/2 [03:28<03:28, 208.34s/it]               2026-06-19 02:40:53.219 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 5, train_steps: 200
+Global Step 4: training: 100%|██████████| 2/2 [06:59<00:00, 209.99s/it]:10, 10.46s/it]
+2026-06-19 02:40:53.849 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 5	train_steps 200	{'step': '5/10000', 'learning_rate': '0.00001000', 'loss': '0.00000000', 'grad_norm': '0.00634697', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.05911255', 'grpo_loop_time': '419.98596191', 'ref_model_time': '114.62308502', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87744671', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11420528', 'token_credit_video_advantage_mean': '6.519e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.444e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '0.00000000', 'kl_loss': '0.00732805', 'kl_moving': '0.00732805', 'kl_stepwise': '-1.963e-08', 'gathered_avg_reward_mean': '-0.11420528', 'gathered_avg_reward_std': '0.15477952', 'gathered_vlm_logprob_reward_mean': '-0.11420528', 'gathered_vlm_logprob_reward_std': '0.15477952', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11420528', 'gathered_vlm_token_credit_reward_std': '0.15477952', 'gathered_vlm_yes_no_margin_reward_mean': '3.51328135', 'gathered_vlm_yes_no_margin_reward_std': '0.79603475', 'gathered_vlm_yes_ratio_reward_mean': '0.96562499', 'gathered_vlm_yes_ratio_reward_std': '0.07545436', 'gathered_ori_avg_reward_mean': '-0.11420528', 'gathered_ori_avg_reward_std': '0.15477952'}
+2026-06-19 02:40:53.900 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 02:40:53.993 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 02:40:54.048 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:40:54.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 02:42:00.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000005/group_0/index_7254_seed_11671_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 02:42:05.251 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:42:22.885 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:42:22.893 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:42:22.893 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-19 02:43:28.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000005/group_0/index_7254_seed_11672_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 02:43:32.422 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:43:50.258 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:43:51.811 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 02:43:51.825 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 02:43:52.813 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-19 02:45:46.316 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.50s (1.89min)
+2026-06-19 02:45:46.993 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 02:47:43.353 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 5: training:  50%|█████     | 1/2 [03:25<03:25, 205.89s/it]               2026-06-19 02:54:40.656 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 6, train_steps: 240
+Global Step 5: training: 100%|██████████| 2/2 [06:57<00:00, 208.65s/it]:10, 10.45s/it]
+2026-06-19 02:54:41.304 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 6	train_steps 240	{'step': '6/10000', 'learning_rate': '0.00001000', 'loss': '-5.774e-08', 'grad_norm': '0.00585788', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '293.04675293', 'grpo_loop_time': '417.30072021', 'ref_model_time': '113.49839783', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83926779', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09504271', 'token_credit_video_advantage_mean': '4.098e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.456e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.867e-08', 'kl_loss': '0.00698355', 'kl_moving': '0.00698355', 'kl_stepwise': '-1.999e-08', 'gathered_avg_reward_mean': '-0.09504271', 'gathered_avg_reward_std': '0.08888936', 'gathered_vlm_logprob_reward_mean': '-0.09504271', 'gathered_vlm_logprob_reward_std': '0.08888936', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09504271', 'gathered_vlm_token_credit_reward_std': '0.08888936', 'gathered_vlm_yes_no_margin_reward_mean': '3.87734389', 'gathered_vlm_yes_no_margin_reward_std': '0.78819066', 'gathered_vlm_yes_ratio_reward_mean': '0.96562505', 'gathered_vlm_yes_ratio_reward_std': '0.07545436', 'gathered_ori_avg_reward_mean': '-0.09504271', 'gathered_ori_avg_reward_std': '0.08888936'}
+2026-06-19 02:54:41.360 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 02:54:41.450 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 02:54:41.494 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:54:41.650 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 02:55:47.774 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000006/group_0/index_3113_seed_32440_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 02:55:50.809 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:56:08.270 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:56:08.277 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 02:56:08.278 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.20s/it][01:03<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.20s/it]
+2026-06-19 02:57:19.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000006/group_0/index_3113_seed_32441_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 02:57:24.540 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 02:57:42.448 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 02:57:42.949 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 02:57:43.030 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 02:57:43.869 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-19 02:59:37.353 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.38s (1.89min)
+2026-06-19 02:59:38.043 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 03:01:37.731 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 6: training:  50%|█████     | 1/2 [03:28<03:28, 208.14s/it]               2026-06-19 03:08:37.474 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 7, train_steps: 280
+Global Step 6: training: 100%|██████████| 2/2 [06:59<00:00, 209.87s/it]:10, 10.43s/it]
+2026-06-19 03:08:38.036 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 7	train_steps 280	{'step': '7/10000', 'learning_rate': '0.00001000', 'loss': '-4.354e-08', 'grad_norm': '0.00897079', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.63601685', 'grpo_loop_time': '419.73812866', 'ref_model_time': '113.38132477', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86307144', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09852949', 'token_credit_video_advantage_mean': '2.392e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.483e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.354e-08', 'kl_loss': '0.00750235', 'kl_moving': '0.00750235', 'kl_stepwise': '-1.935e-08', 'gathered_avg_reward_mean': '-0.09852950', 'gathered_avg_reward_std': '0.07738187', 'gathered_vlm_logprob_reward_mean': '-0.09852949', 'gathered_vlm_logprob_reward_std': '0.07738187', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09852949', 'gathered_vlm_token_credit_reward_std': '0.07738187', 'gathered_vlm_yes_no_margin_reward_mean': '3.82460976', 'gathered_vlm_yes_no_margin_reward_std': '0.93793213', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.09852949', 'gathered_ori_avg_reward_std': '0.07738187'}
+2026-06-19 03:08:38.147 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 03:08:38.226 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 03:08:38.241 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:08:38.354 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-06-19 03:09:44.318 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000007/group_0/index_7447_seed_24478_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 03:09:48.062 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:10:06.040 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:10:06.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:10:06.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-19 03:11:14.829 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000007/group_0/index_7447_seed_24479_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 03:11:18.207 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:11:37.527 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:11:38.337 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 03:11:38.372 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 03:11:39.366 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-06-19 03:13:34.304 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.68s (1.91min)
+2026-06-19 03:13:34.977 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 03:15:32.043 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 7: training:  50%|█████     | 1/2 [03:27<03:27, 207.67s/it]               2026-06-19 03:22:31.147 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 8, train_steps: 320
+Global Step 7: training: 100%|██████████| 2/2 [06:59<00:00, 209.50s/it]:10, 10.42s/it]
+2026-06-19 03:22:31.722 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 8	train_steps 320	{'step': '8/10000', 'learning_rate': '0.00001000', 'loss': '6.892e-08', 'grad_norm': '0.01113244', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.78140259', 'grpo_loop_time': '419.02874756', 'ref_model_time': '114.68054199', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86740446', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10799534', 'token_credit_video_advantage_mean': '-2.887e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.472e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.892e-08', 'kl_loss': '0.00780271', 'kl_moving': '0.00780271', 'kl_stepwise': '-2.004e-08', 'gathered_avg_reward_mean': '-0.10799535', 'gathered_avg_reward_std': '0.15969579', 'gathered_vlm_logprob_reward_mean': '-0.10799535', 'gathered_vlm_logprob_reward_std': '0.15969579', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10799535', 'gathered_vlm_token_credit_reward_std': '0.15969579', 'gathered_vlm_yes_no_margin_reward_mean': '3.66054678', 'gathered_vlm_yes_no_margin_reward_std': '0.95594162', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.09270247', 'gathered_ori_avg_reward_mean': '-0.10799535', 'gathered_ori_avg_reward_std': '0.15969579'}
+2026-06-19 03:22:31.815 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 03:22:31.894 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 03:22:31.908 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:22:31.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-19 03:23:38.783 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000008/group_0/index_9339_seed_18934_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 03:23:42.429 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:24:00.218 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:24:00.228 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:24:00.228 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-19 03:25:09.128 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000008/group_0/index_9339_seed_18935_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 03:25:12.225 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:25:29.956 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:25:33.100 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 03:25:33.217 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 03:25:34.113 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.68s/it]
+2026-06-19 03:27:28.748 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.63s (1.91min)
+2026-06-19 03:27:29.431 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 03:29:26.906 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 8: training:  50%|█████     | 1/2 [03:27<03:27, 207.09s/it]               2026-06-19 03:36:25.650 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 9, train_steps: 360
+Global Step 8: training: 100%|██████████| 2/2 [06:58<00:00, 209.36s/it]:10, 10.47s/it]
+2026-06-19 03:36:26.282 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 9	train_steps 360	{'step': '9/10000', 'learning_rate': '0.00001000', 'loss': '1.863e-08', 'grad_norm': '0.00619157', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.57031250', 'grpo_loop_time': '418.72708130', 'ref_model_time': '114.63189697', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87935555', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07923269', 'token_credit_video_advantage_mean': '-1.676e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.380e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.490e-08', 'kl_loss': '0.00691322', 'kl_moving': '0.00691322', 'kl_stepwise': '-1.828e-08', 'gathered_avg_reward_mean': '-0.07923269', 'gathered_avg_reward_std': '0.06157428', 'gathered_vlm_logprob_reward_mean': '-0.07923269', 'gathered_vlm_logprob_reward_std': '0.06157428', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07923269', 'gathered_vlm_token_credit_reward_std': '0.06157428', 'gathered_vlm_yes_no_margin_reward_mean': '3.52382803', 'gathered_vlm_yes_no_margin_reward_std': '0.76817083', 'gathered_vlm_yes_ratio_reward_mean': '0.99062502', 'gathered_vlm_yes_ratio_reward_std': '0.04227421', 'gathered_ori_avg_reward_mean': '-0.07923269', 'gathered_ori_avg_reward_std': '0.06157428'}
+2026-06-19 03:36:26.346 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 03:36:26.428 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 03:36:26.450 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:36:26.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 03:37:32.736 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000009/group_0/index_3943_seed_33139_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 03:37:37.897 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:37:55.569 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:37:55.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:37:55.579 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-19 03:39:02.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000009/group_0/index_3943_seed_33140_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 03:39:05.832 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:39:23.668 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:39:26.010 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 03:39:26.119 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 03:39:27.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.74s/it]
+2026-06-19 03:41:20.399 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.36s (1.89min)
+2026-06-19 03:41:21.105 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 03:43:17.564 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 9: training:  50%|█████     | 1/2 [03:27<03:27, 207.58s/it]               2026-06-19 03:50:16.933 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 10, train_steps: 400
+Global Step 9: training: 100%|██████████| 2/2 [06:59<00:00, 209.68s/it]:10, 10.47s/it]
+2026-06-19 03:50:17.496 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 10	train_steps 400	{'step': '10/10000', 'learning_rate': '0.00001000', 'loss': '-8.708e-08', 'grad_norm': '0.02081995', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.71145630', 'grpo_loop_time': '419.36166382', 'ref_model_time': '113.36008453', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86561000', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.18536016', 'token_credit_video_advantage_mean': '4.959e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.389e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.708e-08', 'kl_loss': '0.00771932', 'kl_moving': '0.00771932', 'kl_stepwise': '-2.025e-08', 'gathered_avg_reward_mean': '-0.18536016', 'gathered_avg_reward_std': '0.19988164', 'gathered_vlm_logprob_reward_mean': '-0.18536016', 'gathered_vlm_logprob_reward_std': '0.19988164', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.18536016', 'gathered_vlm_token_credit_reward_std': '0.19988164', 'gathered_vlm_yes_no_margin_reward_mean': '3.26289058', 'gathered_vlm_yes_no_margin_reward_std': '1.02785420', 'gathered_vlm_yes_ratio_reward_mean': '0.92812502', 'gathered_vlm_yes_ratio_reward_std': '0.12433416', 'gathered_ori_avg_reward_mean': '-0.18536016', 'gathered_ori_avg_reward_std': '0.19988164'}
+2026-06-19 03:50:53.460 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=10 (missing=0, unexpected=0)
+2026-06-19 03:50:56.181 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 03:50:56.264 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 03:50:56.326 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:50:56.463 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.95s/it][00:58<00:00,  2.93s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.95s/it]
+2026-06-19 03:52:03.819 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000010/group_0/index_7446_seed_6033_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 03:52:09.092 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:52:26.945 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:52:26.952 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 03:52:26.953 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-19 03:53:32.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000010/group_0/index_7446_seed_6034_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 03:53:37.305 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 03:53:55.375 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 03:53:57.827 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 03:53:57.903 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 03:53:58.747 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.58s/it]
+2026-06-19 03:55:52.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.65s (1.89min)
+2026-06-19 03:55:53.208 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 03:57:49.763 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 10: training:  50%|█████     | 1/2 [03:27<03:27, 207.46s/it]              2026-06-19 04:04:48.384 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 11, train_steps: 440
+Global Step 10: training: 100%|██████████| 2/2 [06:58<00:00, 209.31s/it]10, 10.41s/it]
+2026-06-19 04:04:49.017 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 11	train_steps 440	{'step': '11/10000', 'learning_rate': '0.00001000', 'loss': '8.009e-08', 'grad_norm': '0.01618937', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.98101807', 'grpo_loop_time': '418.61425781', 'ref_model_time': '113.65354156', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86817020', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.14168423', 'token_credit_video_advantage_mean': '-3.539e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.481e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.009e-08', 'kl_loss': '0.00865872', 'kl_moving': '0.00865872', 'kl_stepwise': '-2.031e-08', 'gathered_avg_reward_mean': '-0.14168425', 'gathered_avg_reward_std': '0.14862169', 'gathered_vlm_logprob_reward_mean': '-0.14168423', 'gathered_vlm_logprob_reward_std': '0.14862169', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.14168423', 'gathered_vlm_token_credit_reward_std': '0.14862169', 'gathered_vlm_yes_no_margin_reward_mean': '3.53828144', 'gathered_vlm_yes_no_margin_reward_std': '0.90438348', 'gathered_vlm_yes_ratio_reward_mean': '0.95625001', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.14168423', 'gathered_ori_avg_reward_std': '0.14862169'}
+2026-06-19 04:04:49.072 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 04:04:49.159 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 04:04:49.206 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:04:49.285 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 04:05:55.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000011/group_0/index_6954_seed_18434_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 04:05:59.879 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:06:17.266 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:06:17.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:06:17.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-19 04:07:24.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000011/group_0/index_6954_seed_18435_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 04:07:29.546 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:07:47.313 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:07:48.852 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 04:07:48.876 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 04:07:49.727 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-19 04:09:43.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.25s (1.89min)
+2026-06-19 04:09:43.797 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 04:11:40.270 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 11: training:  50%|█████     | 1/2 [03:25<03:25, 205.97s/it]              2026-06-19 04:18:37.298 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 12, train_steps: 480
+Global Step 11: training: 100%|██████████| 2/2 [06:57<00:00, 208.50s/it]10, 10.42s/it]
+2026-06-19 04:18:37.926 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 12	train_steps 480	{'step': '12/10000', 'learning_rate': '0.00001000', 'loss': '2.077e-07', 'grad_norm': '0.01140457', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.67794800', 'grpo_loop_time': '417.01165771', 'ref_model_time': '113.24671173', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89133614', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09009743', 'token_credit_video_advantage_mean': '-1.248e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.521e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.077e-07', 'kl_loss': '0.00774194', 'kl_moving': '0.00774194', 'kl_stepwise': '-1.954e-08', 'gathered_avg_reward_mean': '-0.09009743', 'gathered_avg_reward_std': '0.09740883', 'gathered_vlm_logprob_reward_mean': '-0.09009743', 'gathered_vlm_logprob_reward_std': '0.09740883', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09009743', 'gathered_vlm_token_credit_reward_std': '0.09740883', 'gathered_vlm_yes_no_margin_reward_mean': '4.00703144', 'gathered_vlm_yes_no_margin_reward_std': '0.85783917', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.09009743', 'gathered_ori_avg_reward_std': '0.09740883'}
+2026-06-19 04:18:37.974 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 04:18:38.061 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 04:18:38.076 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:18:38.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 04:19:44.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000012/group_0/index_728_seed_22358_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 04:19:47.865 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:20:05.470 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:20:05.480 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:20:05.480 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-19 04:21:12.948 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000012/group_0/index_728_seed_22359_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 04:21:16.471 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:21:34.198 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:21:37.180 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 04:21:37.308 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 04:21:38.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.68s/it]
+2026-06-19 04:23:33.384 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.19s (1.92min)
+2026-06-19 04:23:34.070 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 04:25:31.245 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 12: training:  50%|█████     | 1/2 [03:27<03:27, 207.02s/it]              2026-06-19 04:32:29.824 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 13, train_steps: 520
+Global Step 12: training: 100%|██████████| 2/2 [06:58<00:00, 209.28s/it]10, 10.46s/it]
+2026-06-19 04:32:30.438 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 13	train_steps 520	{'step': '13/10000', 'learning_rate': '0.00001000', 'loss': '-1.676e-07', 'grad_norm': '0.00958171', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.04888916', 'grpo_loop_time': '418.56518555', 'ref_model_time': '115.18899536', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87299734', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08547460', 'token_credit_video_advantage_mean': '9.686e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.431e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.676e-07', 'kl_loss': '0.00893866', 'kl_moving': '0.00893867', 'kl_stepwise': '-1.992e-08', 'gathered_avg_reward_mean': '-0.08547459', 'gathered_avg_reward_std': '0.06536826', 'gathered_vlm_logprob_reward_mean': '-0.08547459', 'gathered_vlm_logprob_reward_std': '0.06536826', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08547459', 'gathered_vlm_token_credit_reward_std': '0.06536826', 'gathered_vlm_yes_no_margin_reward_mean': '3.75742173', 'gathered_vlm_yes_no_margin_reward_std': '0.67561716', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.08547459', 'gathered_ori_avg_reward_std': '0.06536826'}
+2026-06-19 04:32:30.512 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 04:32:30.593 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 04:32:30.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:32:30.689 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 04:33:36.718 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000013/group_0/index_8365_seed_10793_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 04:33:40.001 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:33:57.670 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:33:57.676 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:33:57.677 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.07s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.07s/it]
+2026-06-19 04:35:06.155 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000013/group_0/index_8365_seed_10794_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 04:35:11.472 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:35:29.282 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:35:30.312 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 04:35:30.350 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 04:35:31.250 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-06-19 04:37:24.102 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.77s (1.88min)
+2026-06-19 04:37:24.792 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 04:39:21.078 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 13: training:  50%|█████     | 1/2 [03:26<03:26, 206.54s/it]              2026-06-19 04:46:18.588 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 14, train_steps: 560
+Global Step 13: training: 100%|██████████| 2/2 [06:57<00:00, 208.74s/it]10, 10.43s/it]
+2026-06-19 04:46:19.194 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 14	train_steps 560	{'step': '14/10000', 'learning_rate': '0.00001000', 'loss': '-5.285e-08', 'grad_norm': '0.00492179', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.23126221', 'grpo_loop_time': '417.48583984', 'ref_model_time': '112.77292633', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85007292', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.04104683', 'token_credit_video_advantage_mean': '3.341e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.467e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.285e-08', 'kl_loss': '0.00681524', 'kl_moving': '0.00681524', 'kl_stepwise': '-1.890e-08', 'gathered_avg_reward_mean': '-0.04104683', 'gathered_avg_reward_std': '0.03699741', 'gathered_vlm_logprob_reward_mean': '-0.04104683', 'gathered_vlm_logprob_reward_std': '0.03699741', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.04104683', 'gathered_vlm_token_credit_reward_std': '0.03699741', 'gathered_vlm_yes_no_margin_reward_mean': '4.32617188', 'gathered_vlm_yes_no_margin_reward_std': '0.62439698', 'gathered_vlm_yes_ratio_reward_mean': '0.99687499', 'gathered_vlm_yes_ratio_reward_std': '0.02480392', 'gathered_ori_avg_reward_mean': '-0.04104683', 'gathered_ori_avg_reward_std': '0.03699741'}
+2026-06-19 04:46:19.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 04:46:19.337 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 04:46:19.398 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:46:19.539 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 04:47:26.538 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000014/group_0/index_4241_seed_33057_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 04:47:31.263 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:47:49.078 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:47:49.088 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 04:47:49.088 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 04:48:54.276 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000014/group_0/index_4241_seed_33058_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 04:48:58.995 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 04:49:16.745 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 04:49:17.445 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 04:49:17.485 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 04:49:18.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-06-19 04:51:12.963 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.49s (1.91min)
+2026-06-19 04:51:13.650 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 04:53:12.996 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 14: training:  50%|█████     | 1/2 [03:27<03:27, 207.42s/it]              2026-06-19 05:00:11.828 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 15, train_steps: 600
+Global Step 14: training: 100%|██████████| 2/2 [06:58<00:00, 209.42s/it]10, 10.43s/it]
+2026-06-19 05:00:12.472 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 15	train_steps 600	{'step': '15/10000', 'learning_rate': '0.00001000', 'loss': '2.515e-08', 'grad_norm': '0.00486944', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.35754395', 'grpo_loop_time': '418.83398438', 'ref_model_time': '114.49188232', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87035662', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11374179', 'token_credit_video_advantage_mean': '-2.049e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.417e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.515e-08', 'kl_loss': '0.00672000', 'kl_moving': '0.00672000', 'kl_stepwise': '-1.995e-08', 'gathered_avg_reward_mean': '-0.11374178', 'gathered_avg_reward_std': '0.14667176', 'gathered_vlm_logprob_reward_mean': '-0.11374179', 'gathered_vlm_logprob_reward_std': '0.14667176', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11374179', 'gathered_vlm_token_credit_reward_std': '0.14667176', 'gathered_vlm_yes_no_margin_reward_mean': '3.60390615', 'gathered_vlm_yes_no_margin_reward_std': '0.83760744', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.11374179', 'gathered_ori_avg_reward_std': '0.14667176'}
+2026-06-19 05:00:12.525 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 05:00:12.612 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 05:00:12.643 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:00:12.703 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 05:01:19.258 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000015/group_0/index_6121_seed_22864_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 05:01:23.940 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:01:41.639 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:01:41.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:01:41.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-19 05:02:47.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000015/group_0/index_6121_seed_22865_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 05:02:52.343 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:03:10.094 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:03:11.349 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 05:03:11.386 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 05:03:12.517 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-06-19 05:05:07.366 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.64s (1.91min)
+2026-06-19 05:05:08.060 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 05:07:05.978 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 15: training:  50%|█████     | 1/2 [03:27<03:27, 207.45s/it]              2026-06-19 05:14:04.894 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 16, train_steps: 640
+Global Step 15: training: 100%|██████████| 2/2 [06:58<00:00, 209.45s/it]10, 10.44s/it]
+2026-06-19 05:14:05.518 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 16	train_steps 640	{'step': '16/10000', 'learning_rate': '0.00001000', 'loss': '-3.725e-09', 'grad_norm': '0.00802713', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.48849487', 'grpo_loop_time': '418.91024780', 'ref_model_time': '114.63745117', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88271308', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08271325', 'token_credit_video_advantage_mean': '-1.257e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.373e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.725e-09', 'kl_loss': '0.00774484', 'kl_moving': '0.00774484', 'kl_stepwise': '-1.948e-08', 'gathered_avg_reward_mean': '-0.08271324', 'gathered_avg_reward_std': '0.08509100', 'gathered_vlm_logprob_reward_mean': '-0.08271324', 'gathered_vlm_logprob_reward_std': '0.08509099', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08271324', 'gathered_vlm_token_credit_reward_std': '0.08509099', 'gathered_vlm_yes_no_margin_reward_mean': '3.86171889', 'gathered_vlm_yes_no_margin_reward_std': '1.01439798', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08271324', 'gathered_ori_avg_reward_std': '0.08509099'}
+2026-06-19 05:14:05.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 05:14:05.659 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 05:14:05.696 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:14:05.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 05:15:11.670 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000016/group_0/index_3814_seed_28667_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 05:15:16.387 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:15:34.062 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:15:34.070 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:15:34.071 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-19 05:16:42.955 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000016/group_0/index_3814_seed_28668_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 05:16:46.715 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:17:04.589 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:17:06.988 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 05:17:07.020 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 05:17:07.979 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.50s/it]
+2026-06-19 05:19:03.024 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.02s (1.92min)
+2026-06-19 05:19:03.741 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 05:21:01.962 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 16: training:  50%|█████     | 1/2 [03:29<03:29, 209.57s/it]              2026-06-19 05:28:03.320 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 17, train_steps: 680
+Global Step 16: training: 100%|██████████| 2/2 [07:01<00:00, 210.68s/it]10, 10.49s/it]
+2026-06-19 05:28:03.955 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 17	train_steps 680	{'step': '17/10000', 'learning_rate': '0.00001000', 'loss': '6.892e-08', 'grad_norm': '0.00625186', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.12194824', 'grpo_loop_time': '421.36407471', 'ref_model_time': '115.01958466', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87851578', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.18644486', 'token_credit_video_advantage_mean': '-3.353e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.491e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.892e-08', 'kl_loss': '0.00730736', 'kl_moving': '0.00730736', 'kl_stepwise': '-1.913e-08', 'gathered_avg_reward_mean': '-0.18644485', 'gathered_avg_reward_std': '0.15695566', 'gathered_vlm_logprob_reward_mean': '-0.18644485', 'gathered_vlm_logprob_reward_std': '0.15695566', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.18644485', 'gathered_vlm_token_credit_reward_std': '0.15695566', 'gathered_vlm_yes_no_margin_reward_mean': '3.21054697', 'gathered_vlm_yes_no_margin_reward_std': '0.99416077', 'gathered_vlm_yes_ratio_reward_mean': '0.90625000', 'gathered_vlm_yes_ratio_reward_std': '0.12231490', 'gathered_ori_avg_reward_mean': '-0.18644485', 'gathered_ori_avg_reward_std': '0.15695566'}
+2026-06-19 05:28:04.007 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 05:28:04.099 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 05:28:04.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:28:04.207 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 05:29:10.423 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000017/group_0/index_367_seed_17358_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 05:29:13.549 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:29:31.254 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:29:31.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:29:31.265 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.05s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.05s/it]
+2026-06-19 05:30:39.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000017/group_0/index_367_seed_17359_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 05:30:42.767 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:31:00.867 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:31:03.926 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 05:31:04.001 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 05:31:05.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.72s/it]
+2026-06-19 05:32:58.688 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.48s (1.89min)
+2026-06-19 05:32:59.387 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 05:34:56.267 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 17: training:  50%|█████     | 1/2 [03:30<03:30, 210.13s/it]              2026-06-19 05:41:58.103 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 18, train_steps: 720
+Global Step 17: training: 100%|██████████| 2/2 [07:01<00:00, 210.91s/it]10, 10.46s/it]
+2026-06-19 05:41:58.725 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 18	train_steps 720	{'step': '18/10000', 'learning_rate': '0.00001000', 'loss': '1.546e-07', 'grad_norm': '0.00500021', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.33404541', 'grpo_loop_time': '421.82669067', 'ref_model_time': '113.48303223', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83844995', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08447526', 'token_credit_video_advantage_mean': '-1.034e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.417e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.546e-07', 'kl_loss': '0.00731054', 'kl_moving': '0.00731055', 'kl_stepwise': '-1.949e-08', 'gathered_avg_reward_mean': '-0.08447524', 'gathered_avg_reward_std': '0.10756519', 'gathered_vlm_logprob_reward_mean': '-0.08447525', 'gathered_vlm_logprob_reward_std': '0.10756519', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08447525', 'gathered_vlm_token_credit_reward_std': '0.10756519', 'gathered_vlm_yes_no_margin_reward_mean': '3.75585938', 'gathered_vlm_yes_no_margin_reward_std': '0.73575985', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261844', 'gathered_ori_avg_reward_mean': '-0.08447525', 'gathered_ori_avg_reward_std': '0.10756519'}
+2026-06-19 05:41:58.776 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 05:41:58.868 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 05:41:58.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:41:58.980 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 05:43:05.316 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000018/group_0/index_8800_seed_13689_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 05:43:08.454 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:43:26.147 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:43:26.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:43:26.157 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.10s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.10s/it]
+2026-06-19 05:44:35.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000018/group_0/index_8800_seed_13690_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 05:44:38.821 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:44:56.822 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:45:00.198 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 05:45:00.299 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 05:45:01.225 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-19 05:46:55.111 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.88s (1.90min)
+2026-06-19 05:46:55.797 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 05:48:52.332 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 18: training:  50%|█████     | 1/2 [03:26<03:26, 206.48s/it]              2026-06-19 05:55:50.499 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 19, train_steps: 760
+Global Step 18: training: 100%|██████████| 2/2 [06:58<00:00, 209.08s/it]10, 10.45s/it]
+2026-06-19 05:55:51.128 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 19	train_steps 760	{'step': '19/10000', 'learning_rate': '0.00001000', 'loss': '2.189e-08', 'grad_norm': '0.00669807', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.97375488', 'grpo_loop_time': '418.15954590', 'ref_model_time': '113.88462830', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88491642', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07778431', 'token_credit_video_advantage_mean': '-8.382e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.415e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.189e-08', 'kl_loss': '0.00740545', 'kl_moving': '0.00740545', 'kl_stepwise': '-2.045e-08', 'gathered_avg_reward_mean': '-0.07778431', 'gathered_avg_reward_std': '0.06631888', 'gathered_vlm_logprob_reward_mean': '-0.07778431', 'gathered_vlm_logprob_reward_std': '0.06631889', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07778431', 'gathered_vlm_token_credit_reward_std': '0.06631889', 'gathered_vlm_yes_no_margin_reward_mean': '3.75390649', 'gathered_vlm_yes_no_margin_reward_std': '0.73346645', 'gathered_vlm_yes_ratio_reward_mean': '0.98125005', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07778431', 'gathered_ori_avg_reward_std': '0.06631889'}
+2026-06-19 05:55:51.177 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 05:55:51.269 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 05:55:51.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:55:51.392 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 05:56:57.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000019/group_0/index_657_seed_28953_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 05:57:00.480 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:57:18.769 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:57:18.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 05:57:18.781 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-19 05:58:25.601 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000019/group_0/index_657_seed_28954_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 05:58:30.939 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 05:58:49.060 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 05:58:49.067 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 05:58:49.079 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 05:58:50.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.29s/it]
+2026-06-19 06:00:43.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.10s (1.89min)
+2026-06-19 06:00:43.876 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 06:02:40.341 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 19: training:  50%|█████     | 1/2 [03:26<03:26, 206.86s/it]              2026-06-19 06:09:39.753 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 20, train_steps: 800
+Global Step 19: training: 100%|██████████| 2/2 [06:59<00:00, 209.71s/it]10, 10.61s/it]
+2026-06-19 06:09:40.324 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 20	train_steps 800	{'step': '20/10000', 'learning_rate': '0.00001000', 'loss': '-1.164e-07', 'grad_norm': '0.00786036', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '292.65203857', 'grpo_loop_time': '419.41992188', 'ref_model_time': '113.10227966', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85075909', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09013876', 'token_credit_video_advantage_mean': '7.171e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.478e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.164e-07', 'kl_loss': '0.00818973', 'kl_moving': '0.00818973', 'kl_stepwise': '-2.041e-08', 'gathered_avg_reward_mean': '-0.09013876', 'gathered_avg_reward_std': '0.08734090', 'gathered_vlm_logprob_reward_mean': '-0.09013875', 'gathered_vlm_logprob_reward_std': '0.08734090', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09013875', 'gathered_vlm_token_credit_reward_std': '0.08734090', 'gathered_vlm_yes_no_margin_reward_mean': '3.50859380', 'gathered_vlm_yes_no_margin_reward_std': '0.74583775', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.09013875', 'gathered_ori_avg_reward_std': '0.08734090'}
+2026-06-19 06:10:16.276 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=20 (missing=0, unexpected=0)
+2026-06-19 06:10:18.747 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 06:10:18.876 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 06:10:18.929 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:10:19.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-06-19 06:11:27.044 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000020/group_0/index_5415_seed_11619_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 06:11:30.846 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:11:48.636 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:11:48.645 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:11:48.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-19 06:12:54.774 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000020/group_0/index_5415_seed_11620_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 06:12:58.125 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:13:16.243 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:13:19.050 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 06:13:19.103 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 06:13:20.272 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.60s/it]
+2026-06-19 06:15:13.224 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.90s (1.88min)
+2026-06-19 06:15:13.910 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 06:17:12.691 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 20: training:  50%|█████     | 1/2 [03:27<03:27, 207.93s/it]              2026-06-19 06:24:12.560 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 21, train_steps: 840
+Global Step 20: training: 100%|██████████| 2/2 [06:59<00:00, 209.93s/it]10, 10.49s/it]
+2026-06-19 06:24:13.219 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 21	train_steps 840	{'step': '21/10000', 'learning_rate': '0.00001000', 'loss': '-1.863e-09', 'grad_norm': '0.00744402', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.11663818', 'grpo_loop_time': '419.86151123', 'ref_model_time': '112.90346527', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83591878', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11831233', 'token_credit_video_advantage_mean': '-1.211e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.418e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.588e-09', 'kl_loss': '0.00728016', 'kl_moving': '0.00728016', 'kl_stepwise': '-1.898e-08', 'gathered_avg_reward_mean': '-0.11831234', 'gathered_avg_reward_std': '0.11836202', 'gathered_vlm_logprob_reward_mean': '-0.11831232', 'gathered_vlm_logprob_reward_std': '0.11836201', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11831232', 'gathered_vlm_token_credit_reward_std': '0.11836201', 'gathered_vlm_yes_no_margin_reward_mean': '3.50507832', 'gathered_vlm_yes_no_margin_reward_std': '0.78192699', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.08569568', 'gathered_ori_avg_reward_mean': '-0.11831232', 'gathered_ori_avg_reward_std': '0.11836201'}
+2026-06-19 06:24:13.269 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 06:24:13.359 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 06:24:13.432 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:24:13.568 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-06-19 06:25:19.702 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000021/group_0/index_6892_seed_11576_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 06:25:25.075 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:25:42.706 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:25:42.715 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:25:42.715 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-06-19 06:26:47.550 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000021/group_0/index_6892_seed_11577_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 06:26:52.312 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:27:10.168 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:27:11.260 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 06:27:11.336 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 06:27:12.252 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.72s/it]
+2026-06-19 06:29:06.988 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.51s (1.91min)
+2026-06-19 06:29:07.668 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 06:31:04.585 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 21: training:  50%|█████     | 1/2 [03:27<03:27, 207.93s/it]              2026-06-19 06:38:04.281 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 22, train_steps: 880
+Global Step 21: training: 100%|██████████| 2/2 [06:59<00:00, 209.85s/it]10, 10.46s/it]
+2026-06-19 06:38:04.839 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 22	train_steps 880	{'step': '22/10000', 'learning_rate': '0.00001000', 'loss': '-1.555e-07', 'grad_norm': '0.00616286', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.35079956', 'grpo_loop_time': '419.69705200', 'ref_model_time': '114.50721741', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86757922', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.16119316', 'token_credit_video_advantage_mean': '9.034e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.431e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.574e-07', 'kl_loss': '0.00744482', 'kl_moving': '0.00744482', 'kl_stepwise': '-1.930e-08', 'gathered_avg_reward_mean': '-0.16119316', 'gathered_avg_reward_std': '0.14989068', 'gathered_vlm_logprob_reward_mean': '-0.16119316', 'gathered_vlm_logprob_reward_std': '0.14989068', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.16119316', 'gathered_vlm_token_credit_reward_std': '0.14989068', 'gathered_vlm_yes_no_margin_reward_mean': '3.27304697', 'gathered_vlm_yes_no_margin_reward_std': '0.99097782', 'gathered_vlm_yes_ratio_reward_mean': '0.95625001', 'gathered_vlm_yes_ratio_reward_std': '0.08267972', 'gathered_ori_avg_reward_mean': '-0.16119316', 'gathered_ori_avg_reward_std': '0.14989068'}
+2026-06-19 06:38:04.947 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 06:38:05.026 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 06:38:05.043 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:38:05.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 06:39:11.290 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000022/group_0/index_4192_seed_17251_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 06:39:16.025 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:39:33.651 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:39:33.660 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:39:33.660 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-19 06:40:39.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000022/group_0/index_4192_seed_17252_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 06:40:43.721 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:41:02.011 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:41:03.136 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 06:41:03.189 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 06:41:04.340 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-06-19 06:42:58.467 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.99s (1.90min)
+2026-06-19 06:42:59.165 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 06:44:56.506 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 22: training:  50%|█████     | 1/2 [03:29<03:29, 209.73s/it]              2026-06-19 06:51:58.169 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 23, train_steps: 920
+Global Step 22: training: 100%|██████████| 2/2 [07:01<00:00, 210.83s/it]10, 10.50s/it]
+2026-06-19 06:51:58.747 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 23	train_steps 920	{'step': '23/10000', 'learning_rate': '0.00001000', 'loss': '-6.426e-08', 'grad_norm': '0.00608192', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.16928101', 'grpo_loop_time': '421.66427612', 'ref_model_time': '113.98895264', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84761286', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08385619', 'token_credit_video_advantage_mean': '3.912e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.460e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.426e-08', 'kl_loss': '0.00714781', 'kl_moving': '0.00714782', 'kl_stepwise': '-1.976e-08', 'gathered_avg_reward_mean': '-0.08385619', 'gathered_avg_reward_std': '0.06389877', 'gathered_vlm_logprob_reward_mean': '-0.08385619', 'gathered_vlm_logprob_reward_std': '0.06389876', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08385619', 'gathered_vlm_token_credit_reward_std': '0.06389876', 'gathered_vlm_yes_no_margin_reward_mean': '3.51640630', 'gathered_vlm_yes_no_margin_reward_std': '0.64435989', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841230', 'gathered_ori_avg_reward_mean': '-0.08385619', 'gathered_ori_avg_reward_std': '0.06389876'}
+2026-06-19 06:51:58.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 06:51:58.925 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 06:51:58.942 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:51:59.020 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 06:53:05.104 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000023/group_0/index_7474_seed_23209_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 06:53:08.422 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:53:27.324 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:53:27.334 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 06:53:27.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 06:54:35.154 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000023/group_0/index_7474_seed_23210_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 06:54:40.607 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 06:54:59.753 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 06:54:59.789 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 06:54:59.860 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 06:55:00.672 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.48s/it]
+2026-06-19 06:56:54.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.11s (1.90min)
+2026-06-19 06:56:55.622 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 06:58:52.320 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 23: training:  50%|█████     | 1/2 [03:27<03:27, 207.02s/it]              2026-06-19 07:05:51.313 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 24, train_steps: 960
+Global Step 23: training: 100%|██████████| 2/2 [06:58<00:00, 209.49s/it]10, 10.49s/it]
+2026-06-19 07:05:51.951 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 24	train_steps 960	{'step': '24/10000', 'learning_rate': '0.00001000', 'loss': '-5.495e-08', 'grad_norm': '0.00733166', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.73318481', 'grpo_loop_time': '418.99172974', 'ref_model_time': '114.11315918', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85999703', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12658149', 'token_credit_video_advantage_mean': '4.610e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.431e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.495e-08', 'kl_loss': '0.00723625', 'kl_moving': '0.00723625', 'kl_stepwise': '-2.014e-08', 'gathered_avg_reward_mean': '-0.12658149', 'gathered_avg_reward_std': '0.12222757', 'gathered_vlm_logprob_reward_mean': '-0.12658149', 'gathered_vlm_logprob_reward_std': '0.12222756', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12658149', 'gathered_vlm_token_credit_reward_std': '0.12222756', 'gathered_vlm_yes_no_margin_reward_mean': '3.45624995', 'gathered_vlm_yes_no_margin_reward_std': '0.76473802', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472152', 'gathered_ori_avg_reward_mean': '-0.12658149', 'gathered_ori_avg_reward_std': '0.12222756'}
+2026-06-19 07:05:52.004 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 07:05:52.090 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 07:05:52.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:05:52.194 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 07:06:58.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000024/group_0/index_9364_seed_12316_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 07:07:02.174 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:07:20.485 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:07:20.492 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:07:20.492 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 07:08:27.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000024/group_0/index_9364_seed_12317_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 07:08:32.921 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:08:50.923 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:08:52.217 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 07:08:52.248 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 07:08:53.089 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-19 07:10:46.173 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.94s (1.88min)
+2026-06-19 07:10:46.871 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 07:12:44.156 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 24: training:  50%|█████     | 1/2 [03:26<03:26, 206.05s/it]              2026-06-19 07:19:41.976 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 25, train_steps: 1000
+Global Step 24: training: 100%|██████████| 2/2 [06:57<00:00, 208.99s/it]10, 10.49s/it]
+2026-06-19 07:19:42.781 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 25	train_steps 1000	{'step': '25/10000', 'learning_rate': '0.00001000', 'loss': '-2.980e-08', 'grad_norm': '0.00659835', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.81988525', 'grpo_loop_time': '417.99237061', 'ref_model_time': '112.93932343', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86547744', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05358575', 'token_credit_video_advantage_mean': '2.095e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.457e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.073e-08', 'kl_loss': '0.00735024', 'kl_moving': '0.00735024', 'kl_stepwise': '-1.966e-08', 'gathered_avg_reward_mean': '-0.05358576', 'gathered_avg_reward_std': '0.05198812', 'gathered_vlm_logprob_reward_mean': '-0.05358576', 'gathered_vlm_logprob_reward_std': '0.05198813', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05358576', 'gathered_vlm_token_credit_reward_std': '0.05198813', 'gathered_vlm_yes_no_margin_reward_mean': '4.00937462', 'gathered_vlm_yes_no_margin_reward_std': '0.55450040', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.05358576', 'gathered_ori_avg_reward_std': '0.05198813'}
+2026-06-19 07:20:52.096 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 25 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-25
+2026-06-19 07:20:52.103 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 07:20:52.191 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 07:20:52.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:20:52.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 07:21:58.487 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000025/group_0/index_1319_seed_27710_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 07:22:03.251 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:22:21.799 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:22:21.806 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:22:21.806 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 07:23:28.830 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000025/group_0/index_1319_seed_27711_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 07:23:32.717 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:23:51.410 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:23:52.666 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 07:23:52.784 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 07:23:53.704 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.09s/it]
+2026-06-19 07:25:46.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.81s (1.88min)
+2026-06-19 07:25:47.205 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 07:27:44.382 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 25: training:  50%|█████     | 1/2 [03:27<03:27, 207.77s/it]              2026-06-19 07:34:43.702 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 26, train_steps: 1040
+Global Step 25: training: 100%|██████████| 2/2 [06:59<00:00, 209.64s/it]10, 10.40s/it]
+2026-06-19 07:34:44.229 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 26	train_steps 1040	{'step': '26/10000', 'learning_rate': '0.00001000', 'loss': '-1.064e-07', 'grad_norm': '0.01091035', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.05535889', 'grpo_loop_time': '419.29006958', 'ref_model_time': '112.81066895', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86878526', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10985729', 'token_credit_video_advantage_mean': '6.083e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.452e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.064e-07', 'kl_loss': '0.00751040', 'kl_moving': '0.00751040', 'kl_stepwise': '-1.975e-08', 'gathered_avg_reward_mean': '-0.10985728', 'gathered_avg_reward_std': '0.09996250', 'gathered_vlm_logprob_reward_mean': '-0.10985728', 'gathered_vlm_logprob_reward_std': '0.09996250', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10985728', 'gathered_vlm_token_credit_reward_std': '0.09996250', 'gathered_vlm_yes_no_margin_reward_mean': '3.51015639', 'gathered_vlm_yes_no_margin_reward_std': '1.04947650', 'gathered_vlm_yes_ratio_reward_mean': '0.96562499', 'gathered_vlm_yes_ratio_reward_std': '0.08332682', 'gathered_ori_avg_reward_mean': '-0.10985728', 'gathered_ori_avg_reward_std': '0.09996250'}
+2026-06-19 07:34:44.356 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 07:34:44.438 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 07:34:44.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:34:44.514 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 07:35:50.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000026/group_0/index_3260_seed_679_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 07:35:55.627 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:36:13.842 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:36:13.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:36:13.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  3.00s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  3.00s/it]
+2026-06-19 07:37:20.972 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000026/group_0/index_3260_seed_680_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 07:37:25.792 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:37:44.284 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:37:45.443 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 07:37:45.544 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 07:37:46.369 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.25s/it]
+2026-06-19 07:39:39.638 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-06-19 07:39:40.348 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 07:41:39.073 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 26: training:  50%|█████     | 1/2 [03:28<03:28, 208.38s/it]              2026-06-19 07:48:39.680 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 27, train_steps: 1080
+Global Step 26: training: 100%|██████████| 2/2 [07:00<00:00, 210.29s/it]10, 10.52s/it]
+2026-06-19 07:48:40.219 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 27	train_steps 1080	{'step': '27/10000', 'learning_rate': '0.00001000', 'loss': '4.377e-08', 'grad_norm': '0.00522856', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.94537354', 'grpo_loop_time': '420.59060669', 'ref_model_time': '113.13716125', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87053108', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10074653', 'token_credit_video_advantage_mean': '-2.934e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.440e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.377e-08', 'kl_loss': '0.00700940', 'kl_moving': '0.00700940', 'kl_stepwise': '-1.928e-08', 'gathered_avg_reward_mean': '-0.10074653', 'gathered_avg_reward_std': '0.10706656', 'gathered_vlm_logprob_reward_mean': '-0.10074653', 'gathered_vlm_logprob_reward_std': '0.10706655', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10074653', 'gathered_vlm_token_credit_reward_std': '0.10706655', 'gathered_vlm_yes_no_margin_reward_mean': '3.59921885', 'gathered_vlm_yes_no_margin_reward_std': '0.81404859', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.08569569', 'gathered_ori_avg_reward_mean': '-0.10074653', 'gathered_ori_avg_reward_std': '0.10706655'}
+2026-06-19 07:48:40.347 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 07:48:40.431 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 07:48:40.445 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:48:40.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 07:49:46.680 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000027/group_0/index_2884_seed_11115_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 07:49:51.495 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:50:09.662 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:50:09.670 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 07:50:09.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-19 07:51:19.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000027/group_0/index_2884_seed_11116_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 07:51:24.159 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 07:51:42.381 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 07:51:43.285 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 07:51:43.344 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 07:51:44.203 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.34s/it]
+2026-06-19 07:53:38.298 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.99s (1.90min)
+2026-06-19 07:53:39.007 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 07:55:38.422 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 27: training:  50%|█████     | 1/2 [03:28<03:28, 208.03s/it]              2026-06-19 08:02:38.166 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 28, train_steps: 1120
+Global Step 27: training: 100%|██████████| 2/2 [06:59<00:00, 209.87s/it]10, 10.48s/it]
+2026-06-19 08:02:38.827 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 28	train_steps 1120	{'step': '28/10000', 'learning_rate': '0.00001000', 'loss': '3.725e-08', 'grad_norm': '0.00737395', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.61102295', 'grpo_loop_time': '419.73889160', 'ref_model_time': '113.99049377', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.90546346', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07487895', 'token_credit_video_advantage_mean': '-9.779e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.466e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.725e-08', 'kl_loss': '0.00873508', 'kl_moving': '0.00873508', 'kl_stepwise': '-1.936e-08', 'gathered_avg_reward_mean': '-0.07487895', 'gathered_avg_reward_std': '0.06931475', 'gathered_vlm_logprob_reward_mean': '-0.07487895', 'gathered_vlm_logprob_reward_std': '0.06931474', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07487895', 'gathered_vlm_token_credit_reward_std': '0.06931474', 'gathered_vlm_yes_no_margin_reward_mean': '3.72226572', 'gathered_vlm_yes_no_margin_reward_std': '0.76182240', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.07487895', 'gathered_ori_avg_reward_std': '0.06931474'}
+2026-06-19 08:02:38.878 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 08:02:38.965 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 08:02:38.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:02:39.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 08:03:45.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000028/group_0/index_7718_seed_23896_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 08:03:49.862 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:04:08.133 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:04:08.143 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:04:08.143 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.11s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.11s/it]
+2026-06-19 08:05:17.501 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000028/group_0/index_7718_seed_23897_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 08:05:22.314 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:05:41.463 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:05:41.901 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 08:05:41.975 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 08:05:42.968 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.96s/it]
+2026-06-19 08:07:37.396 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.24s (1.90min)
+2026-06-19 08:07:38.092 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 08:09:37.935 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 28: training:  50%|█████     | 1/2 [03:28<03:28, 208.16s/it]              2026-06-19 08:16:37.845 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 29, train_steps: 1160
+Global Step 28: training: 100%|██████████| 2/2 [06:59<00:00, 209.95s/it]10, 10.50s/it]
+2026-06-19 08:16:38.639 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 29	train_steps 1160	{'step': '29/10000', 'learning_rate': '0.00001000', 'loss': '-1.392e-07', 'grad_norm': '0.00463788', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.16363525', 'grpo_loop_time': '420.03640747', 'ref_model_time': '114.23982239', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86127841', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09159265', 'token_credit_video_advantage_mean': '7.823e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.434e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.392e-07', 'kl_loss': '0.00742211', 'kl_moving': '0.00742211', 'kl_stepwise': '-1.930e-08', 'gathered_avg_reward_mean': '-0.09159264', 'gathered_avg_reward_std': '0.10670043', 'gathered_vlm_logprob_reward_mean': '-0.09159264', 'gathered_vlm_logprob_reward_std': '0.10670042', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09159264', 'gathered_vlm_token_credit_reward_std': '0.10670042', 'gathered_vlm_yes_no_margin_reward_mean': '3.69765639', 'gathered_vlm_yes_no_margin_reward_std': '0.74036413', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.07806247', 'gathered_ori_avg_reward_mean': '-0.09159264', 'gathered_ori_avg_reward_std': '0.10670042'}
+2026-06-19 08:16:38.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 08:16:38.779 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 08:16:38.824 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:16:39.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-06-19 08:17:44.914 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000029/group_0/index_6763_seed_10134_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 08:17:48.792 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:18:07.067 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:18:07.076 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:18:07.076 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.19s/it][01:03<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.19s/it]
+2026-06-19 08:19:18.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000029/group_0/index_6763_seed_10135_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 08:19:23.301 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:19:41.743 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:19:42.881 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 08:19:42.983 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 08:19:43.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.63s/it]
+2026-06-19 08:21:37.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-06-19 08:21:37.961 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 08:23:37.408 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 29: training:  50%|█████     | 1/2 [03:29<03:29, 209.56s/it]              2026-06-19 08:30:39.542 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 30, train_steps: 1200
+Global Step 29: training: 100%|██████████| 2/2 [07:02<00:00, 211.07s/it]10, 10.63s/it]
+2026-06-19 08:30:40.186 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 30	train_steps 1200	{'step': '30/10000', 'learning_rate': '0.00001000', 'loss': '5.309e-08', 'grad_norm': '0.00618992', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.22271729', 'grpo_loop_time': '422.13897705', 'ref_model_time': '113.37304688', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87640584', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11995213', 'token_credit_video_advantage_mean': '-3.260e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.467e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.215e-08', 'kl_loss': '0.00786164', 'kl_moving': '0.00786164', 'kl_stepwise': '-2.036e-08', 'gathered_avg_reward_mean': '-0.11995213', 'gathered_avg_reward_std': '0.09903086', 'gathered_vlm_logprob_reward_mean': '-0.11995213', 'gathered_vlm_logprob_reward_std': '0.09903086', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11995213', 'gathered_vlm_token_credit_reward_std': '0.09903086', 'gathered_vlm_yes_no_margin_reward_mean': '3.41445303', 'gathered_vlm_yes_no_margin_reward_std': '0.92737025', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.11995213', 'gathered_ori_avg_reward_std': '0.09903086'}
+2026-06-19 08:31:15.611 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=30 (missing=0, unexpected=0)
+2026-06-19 08:31:18.258 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 08:31:18.433 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 08:31:18.544 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:31:18.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-19 08:32:27.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000030/group_0/index_8075_seed_1736_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 08:32:32.115 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:32:50.249 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:32:50.255 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:32:50.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-19 08:33:55.885 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000030/group_0/index_8075_seed_1737_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 08:33:59.809 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:34:17.826 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:34:19.980 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 08:34:20.053 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 08:34:21.154 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.08s/it]
+2026-06-19 08:36:14.510 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.35s (1.89min)
+2026-06-19 08:36:15.227 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 08:38:14.173 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 30: training:  50%|█████     | 1/2 [03:27<03:27, 207.85s/it]              2026-06-19 08:45:14.280 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 31, train_steps: 1240
+Global Step 30: training: 100%|██████████| 2/2 [07:00<00:00, 210.04s/it]10, 10.56s/it]
+2026-06-19 08:45:14.939 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 31	train_steps 1240	{'step': '31/10000', 'learning_rate': '0.00001000', 'loss': '1.062e-07', 'grad_norm': '0.00508806', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.92321777', 'grpo_loop_time': '420.09103394', 'ref_model_time': '113.35396576', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86471075', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09022066', 'token_credit_video_advantage_mean': '-5.402e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.406e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.062e-07', 'kl_loss': '0.00686877', 'kl_moving': '0.00686877', 'kl_stepwise': '-1.984e-08', 'gathered_avg_reward_mean': '-0.09022065', 'gathered_avg_reward_std': '0.07811871', 'gathered_vlm_logprob_reward_mean': '-0.09022066', 'gathered_vlm_logprob_reward_std': '0.07811871', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09022066', 'gathered_vlm_token_credit_reward_std': '0.07811871', 'gathered_vlm_yes_no_margin_reward_mean': '3.65937519', 'gathered_vlm_yes_no_margin_reward_std': '0.78236800', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.09022066', 'gathered_ori_avg_reward_std': '0.07811871'}
+2026-06-19 08:45:14.992 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 08:45:15.081 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 08:45:15.097 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:45:15.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 08:46:21.494 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000031/group_0/index_9874_seed_23792_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 08:46:26.618 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:46:44.871 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:46:44.880 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:46:44.881 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-19 08:47:50.944 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000031/group_0/index_9874_seed_23793_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 08:47:54.925 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 08:48:12.993 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 08:48:15.288 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 08:48:15.368 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 08:48:16.464 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.10s/it]
+2026-06-19 08:50:10.322 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.84s (1.90min)
+2026-06-19 08:50:11.023 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 08:52:11.151 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 31: training:  50%|█████     | 1/2 [03:29<03:29, 209.55s/it]              2026-06-19 08:59:13.093 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 32, train_steps: 1280
+Global Step 31: training: 100%|██████████| 2/2 [07:01<00:00, 210.96s/it]10, 10.60s/it]
+2026-06-19 08:59:13.646 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 32	train_steps 1280	{'step': '32/10000', 'learning_rate': '0.00001000', 'loss': '4.098e-08', 'grad_norm': '0.00649606', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.98339844', 'grpo_loop_time': '421.92849731', 'ref_model_time': '113.84352875', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88472110', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11572375', 'token_credit_video_advantage_mean': '-4.657e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.377e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.098e-08', 'kl_loss': '0.00667985', 'kl_moving': '0.00667985', 'kl_stepwise': '-1.843e-08', 'gathered_avg_reward_mean': '-0.11572374', 'gathered_avg_reward_std': '0.09830925', 'gathered_vlm_logprob_reward_mean': '-0.11572374', 'gathered_vlm_logprob_reward_std': '0.09830925', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11572374', 'gathered_vlm_token_credit_reward_std': '0.09830925', 'gathered_vlm_yes_no_margin_reward_mean': '3.72031260', 'gathered_vlm_yes_no_margin_reward_std': '0.87988454', 'gathered_vlm_yes_ratio_reward_mean': '0.96250004', 'gathered_vlm_yes_ratio_reward_std': '0.07806247', 'gathered_ori_avg_reward_mean': '-0.11572374', 'gathered_ori_avg_reward_std': '0.09830925'}
+2026-06-19 08:59:13.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 08:59:13.858 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 08:59:13.876 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 08:59:13.972 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 09:00:20.396 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000032/group_0/index_5918_seed_27276_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 09:00:23.613 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:00:42.062 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:00:42.069 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:00:42.069 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-19 09:01:48.731 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000032/group_0/index_5918_seed_27277_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 09:01:52.178 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:02:10.890 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:02:13.436 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 09:02:13.566 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 09:02:14.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.17s/it]
+2026-06-19 09:04:08.713 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.91s (1.90min)
+2026-06-19 09:04:09.421 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 09:06:10.410 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 32: training:  50%|█████     | 1/2 [03:30<03:30, 210.74s/it]              2026-06-19 09:13:13.278 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 33, train_steps: 1320
+Global Step 32: training: 100%|██████████| 2/2 [07:02<00:00, 211.43s/it]10, 10.51s/it]
+2026-06-19 09:13:13.835 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 33	train_steps 1320	{'step': '33/10000', 'learning_rate': '0.00001000', 'loss': '5.728e-08', 'grad_norm': '0.00478748', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.59811401', 'grpo_loop_time': '422.85861206', 'ref_model_time': '113.91300201', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87723875', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08269802', 'token_credit_video_advantage_mean': '-3.329e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.459e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.728e-08', 'kl_loss': '0.00693700', 'kl_moving': '0.00693700', 'kl_stepwise': '-1.965e-08', 'gathered_avg_reward_mean': '-0.08269802', 'gathered_avg_reward_std': '0.10387567', 'gathered_vlm_logprob_reward_mean': '-0.08269802', 'gathered_vlm_logprob_reward_std': '0.10387567', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08269802', 'gathered_vlm_token_credit_reward_std': '0.10387567', 'gathered_vlm_yes_no_margin_reward_mean': '3.89804697', 'gathered_vlm_yes_no_margin_reward_std': '0.94704831', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.08291561', 'gathered_ori_avg_reward_mean': '-0.08269802', 'gathered_ori_avg_reward_std': '0.10387567'}
+2026-06-19 09:13:13.952 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 09:13:14.035 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 09:13:14.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:13:14.154 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 09:14:20.582 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000033/group_0/index_113_seed_5468_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 09:14:23.692 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:14:41.810 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:14:41.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:14:41.820 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.05s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.05s/it]
+2026-06-19 09:15:50.176 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000033/group_0/index_113_seed_5469_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 09:15:53.304 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:16:11.500 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:16:14.822 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 09:16:14.862 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 09:16:15.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.96s/it]
+2026-06-19 09:18:11.065 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.06s (1.92min)
+2026-06-19 09:18:11.786 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 09:20:11.627 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 33: training:  50%|█████     | 1/2 [03:29<03:29, 209.97s/it]              2026-06-19 09:27:13.732 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 34, train_steps: 1360
+Global Step 33: training: 100%|██████████| 2/2 [07:02<00:00, 211.04s/it]10, 10.50s/it]
+2026-06-19 09:27:14.392 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 34	train_steps 1360	{'step': '34/10000', 'learning_rate': '0.00001000', 'loss': '7.451e-08', 'grad_norm': '0.00867623', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.78683472', 'grpo_loop_time': '422.08489990', 'ref_model_time': '115.06137085', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89158344', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09487745', 'token_credit_video_advantage_mean': '-3.679e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.443e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.451e-08', 'kl_loss': '0.00797131', 'kl_moving': '0.00797131', 'kl_stepwise': '-1.908e-08', 'gathered_avg_reward_mean': '-0.09487746', 'gathered_avg_reward_std': '0.12360330', 'gathered_vlm_logprob_reward_mean': '-0.09487746', 'gathered_vlm_logprob_reward_std': '0.12360330', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09487746', 'gathered_vlm_token_credit_reward_std': '0.12360330', 'gathered_vlm_yes_no_margin_reward_mean': '3.69374990', 'gathered_vlm_yes_no_margin_reward_std': '0.91910070', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.09487746', 'gathered_ori_avg_reward_std': '0.12360330'}
+2026-06-19 09:27:14.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 09:27:14.544 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 09:27:14.574 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:27:14.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 09:28:20.863 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000034/group_0/index_776_seed_23861_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 09:28:23.778 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:28:42.087 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:28:42.097 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:28:42.100 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 09:29:50.061 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000034/group_0/index_776_seed_23862_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 09:29:53.139 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:30:11.575 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:30:13.695 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 09:30:13.801 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 09:30:15.015 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-06-19 09:32:08.900 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.81s (1.90min)
+2026-06-19 09:32:09.592 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 09:34:09.780 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 34: training:  50%|█████     | 1/2 [03:30<03:30, 210.71s/it]              2026-06-19 09:41:12.396 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 35, train_steps: 1400
+Global Step 34: training: 100%|██████████| 2/2 [07:02<00:00, 211.29s/it]10, 10.51s/it]
+2026-06-19 09:41:12.942 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 35	train_steps 1400	{'step': '35/10000', 'learning_rate': '0.00001000', 'loss': '5.588e-09', 'grad_norm': '0.00581781', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.10107422', 'grpo_loop_time': '422.59219360', 'ref_model_time': '113.81331635', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86579978', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09722852', 'token_credit_video_advantage_mean': '-9.313e-10', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.463e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.588e-09', 'kl_loss': '0.00761615', 'kl_moving': '0.00761615', 'kl_stepwise': '-1.966e-08', 'gathered_avg_reward_mean': '-0.09722852', 'gathered_avg_reward_std': '0.09975598', 'gathered_vlm_logprob_reward_mean': '-0.09722852', 'gathered_vlm_logprob_reward_std': '0.09975598', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09722852', 'gathered_vlm_token_credit_reward_std': '0.09975598', 'gathered_vlm_yes_no_margin_reward_mean': '3.63945317', 'gathered_vlm_yes_no_margin_reward_std': '0.87037617', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.09722852', 'gathered_ori_avg_reward_std': '0.09975598'}
+2026-06-19 09:41:13.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 09:41:13.141 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 09:41:13.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:41:13.234 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 09:42:19.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000035/group_0/index_5179_seed_11323_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 09:42:23.110 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:42:41.397 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:42:41.407 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:42:41.407 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  3.00s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  3.00s/it]
+2026-06-19 09:43:48.782 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000035/group_0/index_5179_seed_11324_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 09:43:54.091 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:44:13.070 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:44:13.079 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 09:44:13.091 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 09:44:14.034 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.61s/it]
+2026-06-19 09:46:10.686 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 116.56s (1.94min)
+2026-06-19 09:46:11.398 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 09:48:10.897 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 35: training:  50%|█████     | 1/2 [03:29<03:29, 209.47s/it]              2026-06-19 09:55:11.955 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 36, train_steps: 1440
+Global Step 35: training: 100%|██████████| 2/2 [07:01<00:00, 210.51s/it]10, 10.49s/it]
+2026-06-19 09:55:12.589 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 36	train_steps 1440	{'step': '36/10000', 'learning_rate': '0.00001000', 'loss': '-1.111e-07', 'grad_norm': '0.00542839', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.29360962', 'grpo_loop_time': '421.02560425', 'ref_model_time': '116.55889130', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87268609', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12107284', 'token_credit_video_advantage_mean': '6.659e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.410e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.111e-07', 'kl_loss': '0.00758469', 'kl_moving': '0.00758470', 'kl_stepwise': '-1.913e-08', 'gathered_avg_reward_mean': '-0.12107283', 'gathered_avg_reward_std': '0.12923755', 'gathered_vlm_logprob_reward_mean': '-0.12107283', 'gathered_vlm_logprob_reward_std': '0.12923753', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12107283', 'gathered_vlm_token_credit_reward_std': '0.12923753', 'gathered_vlm_yes_no_margin_reward_mean': '3.42499995', 'gathered_vlm_yes_no_margin_reward_std': '0.98930812', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.12107283', 'gathered_ori_avg_reward_std': '0.12923753'}
+2026-06-19 09:55:12.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 09:55:12.735 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 09:55:12.750 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:55:12.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 09:56:19.116 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000036/group_0/index_5724_seed_12245_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 09:56:22.919 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:56:41.480 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:56:41.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 09:56:41.490 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-19 09:57:48.160 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000036/group_0/index_5724_seed_12246_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 09:57:53.414 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 09:58:12.149 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 09:58:12.646 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 09:58:12.683 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 09:58:13.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-06-19 10:00:08.966 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.91s (1.92min)
+2026-06-19 10:00:09.671 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 10:02:10.007 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 36: training:  50%|█████     | 1/2 [03:30<03:30, 210.01s/it]              2026-06-19 10:09:11.697 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 37, train_steps: 1480
+Global Step 36: training: 100%|██████████| 2/2 [07:01<00:00, 210.85s/it]10, 10.48s/it]
+2026-06-19 10:09:12.330 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 37	train_steps 1480	{'step': '37/10000', 'learning_rate': '0.00001000', 'loss': '-1.048e-07', 'grad_norm': '0.00594303', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.97784424', 'grpo_loop_time': '421.69335938', 'ref_model_time': '114.91186523', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86053967', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11240119', 'token_credit_video_advantage_mean': '6.473e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.436e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.066e-07', 'kl_loss': '0.00764608', 'kl_moving': '0.00764609', 'kl_stepwise': '-1.935e-08', 'gathered_avg_reward_mean': '-0.11240119', 'gathered_avg_reward_std': '0.14090440', 'gathered_vlm_logprob_reward_mean': '-0.11240119', 'gathered_vlm_logprob_reward_std': '0.14090438', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11240119', 'gathered_vlm_token_credit_reward_std': '0.14090438', 'gathered_vlm_yes_no_margin_reward_mean': '3.85429716', 'gathered_vlm_yes_no_margin_reward_std': '0.86925077', 'gathered_vlm_yes_ratio_reward_mean': '0.94375002', 'gathered_vlm_yes_ratio_reward_std': '0.10879309', 'gathered_ori_avg_reward_mean': '-0.11240119', 'gathered_ori_avg_reward_std': '0.14090438'}
+2026-06-19 10:09:12.395 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 10:09:12.476 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 10:09:12.493 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:09:12.575 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 10:10:18.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000037/group_0/index_6980_seed_10946_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 10:10:23.303 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:10:41.631 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:10:41.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:10:41.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-19 10:11:47.797 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000037/group_0/index_6980_seed_10947_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 10:11:51.845 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:12:10.533 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:12:13.041 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 10:12:13.097 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 10:12:14.076 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.43s/it]
+2026-06-19 10:14:09.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.94s (1.92min)
+2026-06-19 10:14:09.737 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 10:16:10.369 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 37: training:  50%|█████     | 1/2 [03:29<03:29, 209.99s/it]              2026-06-19 10:23:12.351 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 38, train_steps: 1520
+Global Step 37: training: 100%|██████████| 2/2 [07:01<00:00, 210.98s/it]10, 10.52s/it]
+2026-06-19 10:23:13.000 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 38	train_steps 1520	{'step': '38/10000', 'learning_rate': '0.00001000', 'loss': '-4.843e-08', 'grad_norm': '0.00720837', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.29498291', 'grpo_loop_time': '421.96832275', 'ref_model_time': '114.94033813', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86719579', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09393182', 'token_credit_video_advantage_mean': '2.701e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.491e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.588e-08', 'kl_loss': '0.00812429', 'kl_moving': '0.00812429', 'kl_stepwise': '-1.935e-08', 'gathered_avg_reward_mean': '-0.09393181', 'gathered_avg_reward_std': '0.09934817', 'gathered_vlm_logprob_reward_mean': '-0.09393181', 'gathered_vlm_logprob_reward_std': '0.09934817', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09393181', 'gathered_vlm_token_credit_reward_std': '0.09934817', 'gathered_vlm_yes_no_margin_reward_mean': '3.74453115', 'gathered_vlm_yes_no_margin_reward_std': '0.64924037', 'gathered_vlm_yes_ratio_reward_mean': '0.96562499', 'gathered_vlm_yes_ratio_reward_std': '0.07545435', 'gathered_ori_avg_reward_mean': '-0.09393181', 'gathered_ori_avg_reward_std': '0.09934817'}
+2026-06-19 10:23:13.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 10:23:13.142 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 10:23:13.188 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:23:13.277 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 10:24:19.383 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000038/group_0/index_691_seed_10955_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 10:24:22.571 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:24:40.900 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:24:40.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:24:40.910 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-19 10:25:48.552 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000038/group_0/index_691_seed_10956_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 10:25:53.874 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:26:12.611 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:26:12.666 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 10:26:12.762 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 10:26:13.794 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.37s/it]
+2026-06-19 10:28:09.237 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.16s (1.92min)
+2026-06-19 10:28:09.955 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 10:30:10.743 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 38: training:  50%|█████     | 1/2 [03:29<03:29, 209.52s/it]              2026-06-19 10:37:11.944 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 39, train_steps: 1560
+Global Step 38: training: 100%|██████████| 2/2 [07:01<00:00, 210.60s/it]10, 10.48s/it]
+2026-06-19 10:37:12.589 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 39	train_steps 1560	{'step': '39/10000', 'learning_rate': '0.00001000', 'loss': '-1.532e-07', 'grad_norm': '0.00768751', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.85568237', 'grpo_loop_time': '421.21484375', 'ref_model_time': '115.16400909', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86405295', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11932015', 'token_credit_video_advantage_mean': '9.011e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.485e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.532e-07', 'kl_loss': '0.00789370', 'kl_moving': '0.00789370', 'kl_stepwise': '-1.900e-08', 'gathered_avg_reward_mean': '-0.11932014', 'gathered_avg_reward_std': '0.21588688', 'gathered_vlm_logprob_reward_mean': '-0.11932015', 'gathered_vlm_logprob_reward_std': '0.21588688', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11932015', 'gathered_vlm_token_credit_reward_std': '0.21588688', 'gathered_vlm_yes_no_margin_reward_mean': '3.92656231', 'gathered_vlm_yes_no_margin_reward_std': '1.11159444', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.10288799', 'gathered_ori_avg_reward_mean': '-0.11932015', 'gathered_ori_avg_reward_std': '0.21588688'}
+2026-06-19 10:37:12.645 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 10:37:12.734 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 10:37:12.786 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:37:12.925 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 10:38:19.024 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000039/group_0/index_7124_seed_13630_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 10:38:22.883 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:38:41.473 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:38:41.484 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:38:41.484 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [02:28,  7.44s/it][02:28<00:00,  6.04s/it]
+100%|██████████| 20/20 [02:28<00:00,  7.44s/it]
+2026-06-19 10:41:17.650 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000039/group_0/index_7124_seed_13631_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 10:41:21.097 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:41:39.721 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:41:42.526 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 10:41:42.582 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 10:41:43.770 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.64s/it]
+2026-06-19 10:43:36.471 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.70s (1.88min)
+2026-06-19 10:43:37.180 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 10:45:37.177 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 39: training:  50%|█████     | 1/2 [03:29<03:29, 209.21s/it]              2026-06-19 10:52:37.858 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 40, train_steps: 1600
+Global Step 39: training: 100%|██████████| 2/2 [07:00<00:00, 210.33s/it]10, 10.42s/it]
+2026-06-19 10:52:38.518 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 40	train_steps 1600	{'step': '40/10000', 'learning_rate': '0.00001000', 'loss': '-1.958e-07', 'grad_norm': '0.00699334', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '384.48745728', 'grpo_loop_time': '420.66439819', 'ref_model_time': '112.69948578', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86645395', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10523832', 'token_credit_video_advantage_mean': '1.134e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.458e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.958e-07', 'kl_loss': '0.00751885', 'kl_moving': '0.00751885', 'kl_stepwise': '-1.991e-08', 'gathered_avg_reward_mean': '-0.10523832', 'gathered_avg_reward_std': '0.08911886', 'gathered_vlm_logprob_reward_mean': '-0.10523832', 'gathered_vlm_logprob_reward_std': '0.08911887', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10523832', 'gathered_vlm_token_credit_reward_std': '0.08911887', 'gathered_vlm_yes_no_margin_reward_mean': '3.55273438', 'gathered_vlm_yes_no_margin_reward_std': '0.84718198', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08992184', 'gathered_ori_avg_reward_mean': '-0.10523832', 'gathered_ori_avg_reward_std': '0.08911887'}
+2026-06-19 10:53:13.985 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=40 (missing=0, unexpected=0)
+2026-06-19 10:53:15.773 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 10:53:15.876 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 10:53:15.992 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:53:16.114 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-19 10:54:23.483 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000040/group_0/index_4029_seed_10540_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 10:54:26.576 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:54:44.430 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:54:44.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 10:54:44.441 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-19 10:55:52.498 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000040/group_0/index_4029_seed_10541_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 10:55:55.957 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 10:56:13.641 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 10:56:16.410 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 10:56:16.499 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 10:56:17.426 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.67s/it]
+2026-06-19 10:58:11.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.27s (1.90min)
+2026-06-19 10:58:12.416 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 11:00:11.330 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 40: training:  50%|█████     | 1/2 [03:29<03:29, 209.72s/it]              2026-06-19 11:07:12.595 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 41, train_steps: 1640
+Global Step 40: training: 100%|██████████| 2/2 [07:01<00:00, 210.60s/it]10, 10.42s/it]
+2026-06-19 11:07:13.236 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 41	train_steps 1640	{'step': '41/10000', 'learning_rate': '0.00001000', 'loss': '-6.054e-08', 'grad_norm': '0.00859600', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.59753418', 'grpo_loop_time': '421.20703125', 'ref_model_time': '114.27478790', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87395513', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11109008', 'token_credit_video_advantage_mean': '4.191e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.405e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.054e-08', 'kl_loss': '0.00767605', 'kl_moving': '0.00767605', 'kl_stepwise': '-1.886e-08', 'gathered_avg_reward_mean': '-0.11109008', 'gathered_avg_reward_std': '0.19807571', 'gathered_vlm_logprob_reward_mean': '-0.11109007', 'gathered_vlm_logprob_reward_std': '0.19807571', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11109007', 'gathered_vlm_token_credit_reward_std': '0.19807571', 'gathered_vlm_yes_no_margin_reward_mean': '3.74765635', 'gathered_vlm_yes_no_margin_reward_std': '0.86437434', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.11109007', 'gathered_ori_avg_reward_std': '0.19807571'}
+2026-06-19 11:07:13.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 11:07:13.383 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 11:07:13.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:07:13.638 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 11:08:19.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000041/group_0/index_278_seed_9871_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 11:08:22.849 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:08:40.822 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:08:40.831 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:08:40.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-19 11:09:48.481 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000041/group_0/index_278_seed_9872_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 11:09:51.551 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:10:09.216 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:10:12.668 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 11:10:12.770 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 11:10:13.934 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.67s/it]
+2026-06-19 11:12:08.351 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.28s (1.90min)
+2026-06-19 11:12:09.087 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 11:14:08.759 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 41: training:  50%|█████     | 1/2 [03:30<03:30, 210.71s/it]              2026-06-19 11:21:10.891 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 42, train_steps: 1680
+Global Step 41: training: 100%|██████████| 2/2 [07:02<00:00, 211.06s/it]10, 10.42s/it]
+2026-06-19 11:21:11.554 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 42	train_steps 1680	{'step': '42/10000', 'learning_rate': '0.00001000', 'loss': '1.630e-08', 'grad_norm': '0.00642063', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.74533081', 'grpo_loop_time': '422.12673950', 'ref_model_time': '114.27595520', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87402135', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05800837', 'token_credit_video_advantage_mean': '-1.187e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.450e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.630e-08', 'kl_loss': '0.00774988', 'kl_moving': '0.00774988', 'kl_stepwise': '-1.911e-08', 'gathered_avg_reward_mean': '-0.05800837', 'gathered_avg_reward_std': '0.06557877', 'gathered_vlm_logprob_reward_mean': '-0.05800837', 'gathered_vlm_logprob_reward_std': '0.06557877', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05800837', 'gathered_vlm_token_credit_reward_std': '0.06557877', 'gathered_vlm_yes_no_margin_reward_mean': '4.21250010', 'gathered_vlm_yes_no_margin_reward_std': '0.56076127', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829613', 'gathered_ori_avg_reward_mean': '-0.05800837', 'gathered_ori_avg_reward_std': '0.06557877'}
+2026-06-19 11:21:11.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 11:21:11.903 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 11:21:11.952 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:21:12.039 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 11:22:18.148 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000042/group_0/index_7277_seed_21237_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 11:22:21.373 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:22:39.375 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:22:39.385 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:22:39.385 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-19 11:23:47.393 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000042/group_0/index_7277_seed_21238_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 11:23:50.606 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:24:08.361 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:24:12.072 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 11:24:12.178 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 11:24:13.251 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.30s/it]
+2026-06-19 11:26:07.579 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.32s (1.91min)
+2026-06-19 11:26:08.279 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 11:28:06.799 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 42: training:  50%|█████     | 1/2 [03:28<03:28, 208.68s/it]              2026-06-19 11:35:06.767 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 43, train_steps: 1720
+Global Step 42: training: 100%|██████████| 2/2 [06:59<00:00, 209.98s/it]10, 10.41s/it]
+2026-06-19 11:35:07.399 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 43	train_steps 1720	{'step': '43/10000', 'learning_rate': '0.00001000', 'loss': '-7.905e-08', 'grad_norm': '0.00759985', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.42782593', 'grpo_loop_time': '419.96707153', 'ref_model_time': '114.32056427', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86461604', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08516897', 'token_credit_video_advantage_mean': '4.729e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.463e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.986e-08', 'kl_loss': '0.00772675', 'kl_moving': '0.00772675', 'kl_stepwise': '-1.981e-08', 'gathered_avg_reward_mean': '-0.08516897', 'gathered_avg_reward_std': '0.08974424', 'gathered_vlm_logprob_reward_mean': '-0.08516897', 'gathered_vlm_logprob_reward_std': '0.08974424', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08516897', 'gathered_vlm_token_credit_reward_std': '0.08974424', 'gathered_vlm_yes_no_margin_reward_mean': '3.81484389', 'gathered_vlm_yes_no_margin_reward_std': '0.98578483', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.08516897', 'gathered_ori_avg_reward_std': '0.08974424'}
+2026-06-19 11:35:07.457 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 11:35:07.546 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 11:35:07.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:35:07.609 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 11:36:13.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000043/group_0/index_656_seed_24741_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 11:36:16.996 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:36:36.861 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:36:36.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:36:36.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.11s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.11s/it]
+2026-06-19 11:37:46.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000043/group_0/index_656_seed_24742_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 11:37:49.209 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:38:06.650 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:38:10.298 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 11:38:10.409 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 11:38:11.349 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.67s/it]
+2026-06-19 11:40:05.861 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.38s (1.91min)
+2026-06-19 11:40:06.548 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 11:42:03.525 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 43: training:  50%|█████     | 1/2 [03:29<03:29, 209.59s/it]              2026-06-19 11:49:04.448 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 44, train_steps: 1760
+Global Step 43: training: 100%|██████████| 2/2 [07:00<00:00, 210.45s/it]10, 10.41s/it]
+2026-06-19 11:49:05.058 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 44	train_steps 1760	{'step': '44/10000', 'learning_rate': '0.00001000', 'loss': '-1.229e-07', 'grad_norm': '0.00689536', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.04431152', 'grpo_loop_time': '420.89843750', 'ref_model_time': '114.37927246', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87159300', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10060880', 'token_credit_video_advantage_mean': '6.286e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.377e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.229e-07', 'kl_loss': '0.00706093', 'kl_moving': '0.00706093', 'kl_stepwise': '-1.787e-08', 'gathered_avg_reward_mean': '-0.10060881', 'gathered_avg_reward_std': '0.09908022', 'gathered_vlm_logprob_reward_mean': '-0.10060880', 'gathered_vlm_logprob_reward_std': '0.09908023', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10060880', 'gathered_vlm_token_credit_reward_std': '0.09908023', 'gathered_vlm_yes_no_margin_reward_mean': '3.56367183', 'gathered_vlm_yes_no_margin_reward_std': '0.76577073', 'gathered_vlm_yes_ratio_reward_mean': '0.98125005', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.10060880', 'gathered_ori_avg_reward_std': '0.09908023'}
+2026-06-19 11:49:05.113 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 11:49:05.206 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 11:49:05.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:49:05.433 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 11:50:11.635 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000044/group_0/index_7316_seed_27300_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 11:50:14.714 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:50:32.787 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:50:32.797 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 11:50:32.800 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-19 11:51:41.777 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000044/group_0/index_7316_seed_27301_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 11:51:47.170 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 11:52:04.789 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 11:52:06.490 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 11:52:06.591 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 11:52:07.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-06-19 11:54:01.211 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.69s (1.89min)
+2026-06-19 11:54:01.909 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 11:56:01.236 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 44: training:  50%|█████     | 1/2 [03:31<03:31, 211.15s/it]              2026-06-19 12:03:03.871 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 45, train_steps: 1800
+Global Step 44: training: 100%|██████████| 2/2 [07:02<00:00, 211.32s/it]10, 10.42s/it]
+2026-06-19 12:03:04.494 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 45	train_steps 1800	{'step': '45/10000', 'learning_rate': '0.00001000', 'loss': '-6.147e-08', 'grad_norm': '0.00717452', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.74938965', 'grpo_loop_time': '422.63674927', 'ref_model_time': '113.68846893', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86166739', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06943533', 'token_credit_video_advantage_mean': '3.539e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.465e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.147e-08', 'kl_loss': '0.00823698', 'kl_moving': '0.00823698', 'kl_stepwise': '-1.959e-08', 'gathered_avg_reward_mean': '-0.06943533', 'gathered_avg_reward_std': '0.06056249', 'gathered_vlm_logprob_reward_mean': '-0.06943533', 'gathered_vlm_logprob_reward_std': '0.06056249', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06943533', 'gathered_vlm_token_credit_reward_std': '0.06056249', 'gathered_vlm_yes_no_margin_reward_mean': '3.80234385', 'gathered_vlm_yes_no_margin_reward_std': '0.66348273', 'gathered_vlm_yes_ratio_reward_mean': '0.98749995', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.06943533', 'gathered_ori_avg_reward_std': '0.06056249'}
+2026-06-19 12:03:04.556 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 12:03:04.648 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 12:03:04.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:03:04.753 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 12:04:11.094 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000045/group_0/index_7297_seed_12289_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 12:04:14.678 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:04:33.038 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:04:33.049 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:04:33.049 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-19 12:05:40.588 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000045/group_0/index_7297_seed_12290_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 12:05:45.878 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:06:04.108 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:06:05.347 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 12:06:05.431 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 12:06:06.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.44s/it]
+2026-06-19 12:08:01.417 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.05s (1.92min)
+2026-06-19 12:08:02.101 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 12:10:01.384 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 45: training:  50%|█████     | 1/2 [03:30<03:30, 210.76s/it]              2026-06-19 12:17:03.586 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 46, train_steps: 1840
+Global Step 45: training: 100%|██████████| 2/2 [07:02<00:00, 211.10s/it]10, 10.41s/it]
+2026-06-19 12:17:04.216 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 46	train_steps 1840	{'step': '46/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-08', 'grad_norm': '0.00637120', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.49722290', 'grpo_loop_time': '422.19390869', 'ref_model_time': '115.05049133', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85657871', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08642261', 'token_credit_video_advantage_mean': '5.960e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.448e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.313e-08', 'kl_loss': '0.00816294', 'kl_moving': '0.00816294', 'kl_stepwise': '-1.945e-08', 'gathered_avg_reward_mean': '-0.08642260', 'gathered_avg_reward_std': '0.11093540', 'gathered_vlm_logprob_reward_mean': '-0.08642260', 'gathered_vlm_logprob_reward_std': '0.11093540', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08642260', 'gathered_vlm_token_credit_reward_std': '0.11093540', 'gathered_vlm_yes_no_margin_reward_mean': '3.64335942', 'gathered_vlm_yes_no_margin_reward_std': '0.78194022', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.06817944', 'gathered_ori_avg_reward_mean': '-0.08642260', 'gathered_ori_avg_reward_std': '0.11093540'}
+2026-06-19 12:17:04.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 12:17:04.368 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 12:17:04.384 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:17:04.448 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 12:18:10.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000046/group_0/index_5451_seed_5374_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 12:18:15.408 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:18:33.567 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:18:33.576 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:18:33.577 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 12:19:40.654 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000046/group_0/index_5451_seed_5375_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 12:19:45.379 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:20:02.966 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:20:05.333 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 12:20:05.461 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 12:20:06.414 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-19 12:22:01.733 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.17s (1.92min)
+2026-06-19 12:22:02.441 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 12:24:01.450 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 46: training:  50%|█████     | 1/2 [03:30<03:30, 210.51s/it]              2026-06-19 12:31:02.922 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 47, train_steps: 1880
+Global Step 46: training: 100%|██████████| 2/2 [07:01<00:00, 210.73s/it]10, 10.40s/it]
+2026-06-19 12:31:03.546 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 47	train_steps 1880	{'step': '47/10000', 'learning_rate': '0.00001000', 'loss': '-1.714e-07', 'grad_norm': '0.00741554', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.11596680', 'grpo_loop_time': '421.45730591', 'ref_model_time': '115.17259216', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86199182', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08431758', 'token_credit_video_advantage_mean': '1.006e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.414e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.714e-07', 'kl_loss': '0.00762280', 'kl_moving': '0.00762280', 'kl_stepwise': '-1.874e-08', 'gathered_avg_reward_mean': '-0.08431759', 'gathered_avg_reward_std': '0.09099779', 'gathered_vlm_logprob_reward_mean': '-0.08431758', 'gathered_vlm_logprob_reward_std': '0.09099779', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08431758', 'gathered_vlm_token_credit_reward_std': '0.09099779', 'gathered_vlm_yes_no_margin_reward_mean': '3.62187481', 'gathered_vlm_yes_no_margin_reward_std': '0.71905565', 'gathered_vlm_yes_ratio_reward_mean': '0.97187495', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.08431758', 'gathered_ori_avg_reward_std': '0.09099779'}
+2026-06-19 12:31:03.606 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 12:31:03.694 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 12:31:03.713 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:31:03.793 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 12:32:09.909 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000047/group_0/index_841_seed_31574_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 12:32:13.439 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:32:31.630 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:32:31.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:32:31.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 12:33:39.624 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000047/group_0/index_841_seed_31575_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 12:33:42.694 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:34:00.405 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:34:03.182 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 12:34:03.265 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 12:34:04.288 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.54s/it]
+2026-06-19 12:35:58.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.79s (1.90min)
+2026-06-19 12:35:58.982 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 12:37:55.891 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 47: training:  50%|█████     | 1/2 [03:30<03:30, 210.29s/it]              2026-06-19 12:44:57.684 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 48, train_steps: 1920
+Global Step 47: training: 100%|██████████| 2/2 [07:01<00:00, 210.89s/it]10, 10.42s/it]
+2026-06-19 12:44:58.230 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 48	train_steps 1920	{'step': '48/10000', 'learning_rate': '0.00001000', 'loss': '2.701e-08', 'grad_norm': '0.00720552', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.32885742', 'grpo_loop_time': '421.78042603', 'ref_model_time': '113.78591919', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85377836', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07674745', 'token_credit_video_advantage_mean': '-5.122e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.376e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.515e-08', 'kl_loss': '0.00746093', 'kl_moving': '0.00746093', 'kl_stepwise': '-1.825e-08', 'gathered_avg_reward_mean': '-0.07674746', 'gathered_avg_reward_std': '0.08751304', 'gathered_vlm_logprob_reward_mean': '-0.07674745', 'gathered_vlm_logprob_reward_std': '0.08751304', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07674745', 'gathered_vlm_token_credit_reward_std': '0.08751304', 'gathered_vlm_yes_no_margin_reward_mean': '3.87539053', 'gathered_vlm_yes_no_margin_reward_std': '1.04297769', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.07674745', 'gathered_ori_avg_reward_std': '0.08751304'}
+2026-06-19 12:44:58.355 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 12:44:58.435 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 12:44:58.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:44:58.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 12:46:04.850 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000048/group_0/index_2883_seed_31728_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 12:46:07.956 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:46:25.506 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:46:25.516 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:46:25.516 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.10s/it][01:01<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.10s/it]
+2026-06-19 12:47:34.901 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000048/group_0/index_2883_seed_31729_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 12:47:38.210 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 12:47:55.637 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 12:47:58.930 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 12:47:59.058 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 12:47:59.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.91s/it]
+2026-06-19 12:49:54.620 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.63s (1.91min)
+2026-06-19 12:49:55.343 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 12:51:52.292 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 48: training:  50%|█████     | 1/2 [03:27<03:27, 207.46s/it]              2026-06-19 12:58:52.088 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 49, train_steps: 1960
+Global Step 48: training: 100%|██████████| 2/2 [06:59<00:00, 209.90s/it]10, 10.52s/it]
+2026-06-19 12:58:52.714 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 49	train_steps 1960	{'step': '49/10000', 'learning_rate': '0.00001000', 'loss': '1.863e-09', 'grad_norm': '0.00691202', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.93826294', 'grpo_loop_time': '419.79568481', 'ref_model_time': '114.63082123', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84671652', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09652263', 'token_credit_video_advantage_mean': '5.122e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.493e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.863e-09', 'kl_loss': '0.00815730', 'kl_moving': '0.00815731', 'kl_stepwise': '-1.928e-08', 'gathered_avg_reward_mean': '-0.09652264', 'gathered_avg_reward_std': '0.14958018', 'gathered_vlm_logprob_reward_mean': '-0.09652263', 'gathered_vlm_logprob_reward_std': '0.14958018', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09652263', 'gathered_vlm_token_credit_reward_std': '0.14958018', 'gathered_vlm_yes_no_margin_reward_mean': '3.55624986', 'gathered_vlm_yes_no_margin_reward_std': '0.82995665', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.09652263', 'gathered_ori_avg_reward_std': '0.14958018'}
+2026-06-19 12:58:52.782 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 12:58:52.865 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 12:58:52.906 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 12:58:52.952 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 12:59:59.241 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000049/group_0/index_9953_seed_18575_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 13:00:02.528 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:00:20.539 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:00:20.549 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:00:20.550 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-19 13:01:30.308 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000049/group_0/index_9953_seed_18576_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 13:01:33.555 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:01:50.871 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:01:54.369 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 13:01:54.489 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 13:01:55.401 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-19 13:03:48.446 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.04s (1.88min)
+2026-06-19 13:03:49.148 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 13:05:45.469 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 49: training:  50%|█████     | 1/2 [03:27<03:27, 207.15s/it]              2026-06-19 13:12:45.277 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 50, train_steps: 2000
+Global Step 49: training: 100%|██████████| 2/2 [06:59<00:00, 209.90s/it]10, 10.52s/it]
+2026-06-19 13:12:45.901 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 50	train_steps 2000	{'step': '50/10000', 'learning_rate': '0.00001000', 'loss': '-1.211e-08', 'grad_norm': '0.00646687', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.31976318', 'grpo_loop_time': '419.79800415', 'ref_model_time': '113.04059601', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87540126', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.14247251', 'token_credit_video_advantage_mean': '1.141e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.428e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.211e-08', 'kl_loss': '0.00829192', 'kl_moving': '0.00829192', 'kl_stepwise': '-2.018e-08', 'gathered_avg_reward_mean': '-0.14247251', 'gathered_avg_reward_std': '0.12343745', 'gathered_vlm_logprob_reward_mean': '-0.14247251', 'gathered_vlm_logprob_reward_std': '0.12343746', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.14247251', 'gathered_vlm_token_credit_reward_std': '0.12343746', 'gathered_vlm_yes_no_margin_reward_mean': '3.33007812', 'gathered_vlm_yes_no_margin_reward_std': '0.79995340', 'gathered_vlm_yes_ratio_reward_mean': '0.93750000', 'gathered_vlm_yes_ratio_reward_std': '0.10532687', 'gathered_ori_avg_reward_mean': '-0.14247251', 'gathered_ori_avg_reward_std': '0.12343746'}
+2026-06-19 13:13:45.683 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 50 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-50
+2026-06-19 13:14:21.652 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=50 (missing=0, unexpected=0)
+2026-06-19 13:14:23.203 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 13:14:23.324 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 13:14:23.372 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:14:23.463 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  3.00s/it][00:59<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:59<00:00,  3.00s/it]
+2026-06-19 13:15:31.748 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000050/group_0/index_8040_seed_7961_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 13:15:34.812 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:15:52.227 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:15:52.234 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:15:52.235 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.07s/it][01:01<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.07s/it]
+2026-06-19 13:17:01.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000050/group_0/index_8040_seed_7962_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 13:17:06.520 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:17:23.978 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:17:25.198 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 13:17:25.261 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 13:17:26.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-19 13:19:20.081 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.84s (1.90min)
+2026-06-19 13:19:20.807 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 13:21:17.524 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 50: training:  50%|█████     | 1/2 [03:28<03:28, 208.12s/it]              2026-06-19 13:28:18.463 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 51, train_steps: 2040
+Global Step 50: training: 100%|██████████| 2/2 [07:00<00:00, 210.47s/it]10, 10.56s/it]
+2026-06-19 13:28:19.122 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 51	train_steps 2040	{'step': '51/10000', 'learning_rate': '0.00001000', 'loss': '-1.537e-08', 'grad_norm': '0.00668831', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.55859375', 'grpo_loop_time': '420.93374634', 'ref_model_time': '113.83603668', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89327949', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12911464', 'token_credit_video_advantage_mean': '1.304e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.418e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.583e-08', 'kl_loss': '0.00793612', 'kl_moving': '0.00793612', 'kl_stepwise': '-1.882e-08', 'gathered_avg_reward_mean': '-0.12911463', 'gathered_avg_reward_std': '0.12303466', 'gathered_vlm_logprob_reward_mean': '-0.12911463', 'gathered_vlm_logprob_reward_std': '0.12303465', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12911463', 'gathered_vlm_token_credit_reward_std': '0.12303465', 'gathered_vlm_yes_no_margin_reward_mean': '3.64062476', 'gathered_vlm_yes_no_margin_reward_std': '1.05211377', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.08833308', 'gathered_ori_avg_reward_mean': '-0.12911463', 'gathered_ori_avg_reward_std': '0.12303465'}
+2026-06-19 13:28:19.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 13:28:19.271 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 13:28:19.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:28:19.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 13:29:26.376 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000051/group_0/index_7704_seed_32713_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 13:29:31.156 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:29:48.460 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:29:48.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:29:48.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-19 13:30:54.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000051/group_0/index_7704_seed_32714_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 13:30:58.907 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:31:16.318 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:31:18.028 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 13:31:18.150 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 13:31:19.165 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.56s/it]
+2026-06-19 13:33:13.030 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.83s (1.90min)
+2026-06-19 13:33:13.741 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 13:35:13.228 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 51: training:  50%|█████     | 1/2 [03:28<03:28, 208.25s/it]              2026-06-19 13:42:13.604 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 52, train_steps: 2080
+Global Step 51: training: 100%|██████████| 2/2 [07:00<00:00, 210.19s/it]10, 10.42s/it]
+2026-06-19 13:42:14.207 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 52	train_steps 2080	{'step': '52/10000', 'learning_rate': '0.00001000', 'loss': '2.794e-08', 'grad_norm': '0.00658105', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.51074219', 'grpo_loop_time': '420.37548828', 'ref_model_time': '113.82932281', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84197652', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08902714', 'token_credit_video_advantage_mean': '-2.142e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.389e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.794e-08', 'kl_loss': '0.00713648', 'kl_moving': '0.00713649', 'kl_stepwise': '-1.888e-08', 'gathered_avg_reward_mean': '-0.08902714', 'gathered_avg_reward_std': '0.08676521', 'gathered_vlm_logprob_reward_mean': '-0.08902714', 'gathered_vlm_logprob_reward_std': '0.08676522', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08902714', 'gathered_vlm_token_credit_reward_std': '0.08676522', 'gathered_vlm_yes_no_margin_reward_mean': '3.46289062', 'gathered_vlm_yes_no_margin_reward_std': '0.73711574', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.08902714', 'gathered_ori_avg_reward_std': '0.08676522'}
+2026-06-19 13:42:14.276 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 13:42:14.355 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 13:42:14.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:42:14.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 13:43:21.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000052/group_0/index_5842_seed_17139_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 13:43:25.772 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:43:43.327 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:43:43.336 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:43:43.336 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-19 13:44:50.044 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000052/group_0/index_5842_seed_17140_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 13:44:53.786 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:45:11.685 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:45:15.286 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 13:45:15.370 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 13:45:16.446 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.52s/it]
+2026-06-19 13:47:10.481 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.03s (1.90min)
+2026-06-19 13:47:11.196 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 13:49:11.265 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 52: training:  50%|█████     | 1/2 [03:29<03:29, 209.48s/it]              2026-06-19 13:56:12.602 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 53, train_steps: 2120
+Global Step 52: training: 100%|██████████| 2/2 [07:01<00:00, 210.67s/it]10, 10.41s/it]
+2026-06-19 13:56:13.243 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 53	train_steps 2120	{'step': '53/10000', 'learning_rate': '0.00001000', 'loss': '1.108e-07', 'grad_norm': '0.00600729', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.86773682', 'grpo_loop_time': '421.33718872', 'ref_model_time': '114.03141785', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86033541', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09175809', 'token_credit_video_advantage_mean': '-6.333e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.463e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.108e-07', 'kl_loss': '0.00729318', 'kl_moving': '0.00729318', 'kl_stepwise': '-1.974e-08', 'gathered_avg_reward_mean': '-0.09175809', 'gathered_avg_reward_std': '0.08109554', 'gathered_vlm_logprob_reward_mean': '-0.09175809', 'gathered_vlm_logprob_reward_std': '0.08109553', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09175809', 'gathered_vlm_token_credit_reward_std': '0.08109553', 'gathered_vlm_yes_no_margin_reward_mean': '3.74609399', 'gathered_vlm_yes_no_margin_reward_std': '0.79311270', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.09175809', 'gathered_ori_avg_reward_std': '0.08109553'}
+2026-06-19 13:56:13.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 13:56:13.398 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 13:56:13.414 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:56:13.503 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 13:57:19.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000053/group_0/index_608_seed_28453_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 13:57:22.621 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:57:40.189 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:57:40.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 13:57:40.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.07s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.07s/it]
+2026-06-19 13:58:48.961 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000053/group_0/index_608_seed_28454_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 13:58:52.053 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 13:59:09.554 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 13:59:13.130 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 13:59:13.218 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 13:59:14.149 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.59s/it]
+2026-06-19 14:01:08.798 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.41s (1.91min)
+2026-06-19 14:01:09.529 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 14:03:10.474 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 53: training:  50%|█████     | 1/2 [03:29<03:29, 209.79s/it]              2026-06-19 14:10:12.167 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 54, train_steps: 2160
+Global Step 53: training: 100%|██████████| 2/2 [07:01<00:00, 210.84s/it]10, 10.41s/it]
+2026-06-19 14:10:12.817 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 54	train_steps 2160	{'step': '54/10000', 'learning_rate': '0.00001000', 'loss': '5.122e-08', 'grad_norm': '0.00689598', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.17868042', 'grpo_loop_time': '421.67480469', 'ref_model_time': '114.41271210', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.82816422', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12702043', 'token_credit_video_advantage_mean': '-3.912e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.477e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.122e-08', 'kl_loss': '0.00767793', 'kl_moving': '0.00767793', 'kl_stepwise': '-1.969e-08', 'gathered_avg_reward_mean': '-0.12702045', 'gathered_avg_reward_std': '0.12508272', 'gathered_vlm_logprob_reward_mean': '-0.12702043', 'gathered_vlm_logprob_reward_std': '0.12508272', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12702043', 'gathered_vlm_token_credit_reward_std': '0.12508272', 'gathered_vlm_yes_no_margin_reward_mean': '3.29218745', 'gathered_vlm_yes_no_margin_reward_std': '0.83282131', 'gathered_vlm_yes_ratio_reward_mean': '0.95625001', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.12702043', 'gathered_ori_avg_reward_std': '0.12508272'}
+2026-06-19 14:10:12.878 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 14:10:12.970 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 14:10:13.033 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:10:13.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 14:11:19.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000054/group_0/index_731_seed_19095_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 14:11:24.475 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:11:42.131 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:11:42.139 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:11:42.140 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-19 14:12:48.101 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000054/group_0/index_731_seed_19096_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 14:12:51.763 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:13:09.274 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:13:12.866 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 14:13:12.971 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 14:13:13.896 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.59s/it]
+2026-06-19 14:15:08.493 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.42s (1.91min)
+2026-06-19 14:15:09.217 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 14:17:09.306 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 54: training:  50%|█████     | 1/2 [03:30<03:30, 210.65s/it]              2026-06-19 14:24:11.915 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 55, train_steps: 2200
+Global Step 54: training: 100%|██████████| 2/2 [07:02<00:00, 211.29s/it]10, 10.42s/it]
+2026-06-19 14:24:12.548 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 55	train_steps 2200	{'step': '55/10000', 'learning_rate': '0.00001000', 'loss': '8.009e-08', 'grad_norm': '0.00751359', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.28695679', 'grpo_loop_time': '422.58868408', 'ref_model_time': '114.42321777', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86246419', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09483485', 'token_credit_video_advantage_mean': '-4.470e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.412e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.009e-08', 'kl_loss': '0.00859720', 'kl_moving': '0.00859720', 'kl_stepwise': '-1.945e-08', 'gathered_avg_reward_mean': '-0.09483485', 'gathered_avg_reward_std': '0.09765195', 'gathered_vlm_logprob_reward_mean': '-0.09483484', 'gathered_vlm_logprob_reward_std': '0.09765195', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09483484', 'gathered_vlm_token_credit_reward_std': '0.09765195', 'gathered_vlm_yes_no_margin_reward_mean': '3.66210938', 'gathered_vlm_yes_no_margin_reward_std': '0.92931837', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.09483484', 'gathered_ori_avg_reward_std': '0.09765195'}
+2026-06-19 14:24:12.602 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 14:24:12.690 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 14:24:12.709 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:24:12.735 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 14:25:19.051 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000055/group_0/index_4724_seed_8573_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 14:25:22.241 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:25:40.240 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:25:40.249 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:25:40.252 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 14:26:48.347 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000055/group_0/index_4724_seed_8574_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 14:26:53.689 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:27:11.311 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:27:12.753 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 14:27:12.880 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 14:27:13.845 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-06-19 14:29:09.888 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.82s (1.93min)
+2026-06-19 14:29:10.606 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 14:31:10.764 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 55: training:  50%|█████     | 1/2 [03:29<03:29, 209.53s/it]              2026-06-19 14:38:12.108 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 56, train_steps: 2240
+Global Step 55: training: 100%|██████████| 2/2 [07:01<00:00, 210.66s/it]10, 10.41s/it]
+2026-06-19 14:38:12.684 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 56	train_steps 2240	{'step': '56/10000', 'learning_rate': '0.00001000', 'loss': '3.306e-08', 'grad_norm': '0.00720966', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.95507812', 'grpo_loop_time': '421.31744385', 'ref_model_time': '115.82267761', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88273817', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12969396', 'token_credit_video_advantage_mean': '-1.746e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.370e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.306e-08', 'kl_loss': '0.00804193', 'kl_moving': '0.00804193', 'kl_stepwise': '-1.915e-08', 'gathered_avg_reward_mean': '-0.12969396', 'gathered_avg_reward_std': '0.12177835', 'gathered_vlm_logprob_reward_mean': '-0.12969396', 'gathered_vlm_logprob_reward_std': '0.12177836', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12969396', 'gathered_vlm_token_credit_reward_std': '0.12177836', 'gathered_vlm_yes_no_margin_reward_mean': '3.52187490', 'gathered_vlm_yes_no_margin_reward_std': '0.79715669', 'gathered_vlm_yes_ratio_reward_mean': '0.95000005', 'gathered_vlm_yes_ratio_reward_std': '0.09354144', 'gathered_ori_avg_reward_mean': '-0.12969396', 'gathered_ori_avg_reward_std': '0.12177836'}
+2026-06-19 14:38:12.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 14:38:12.890 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 14:38:12.905 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:38:12.985 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 14:39:19.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000056/group_0/index_8869_seed_19024_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 14:39:22.866 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:39:41.201 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:39:41.210 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:39:41.211 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-19 14:40:48.897 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000056/group_0/index_8869_seed_19025_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 14:40:54.052 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:41:12.077 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:41:13.091 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 14:41:13.188 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 14:41:14.027 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.47s/it]
+2026-06-19 14:43:08.780 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.66s (1.91min)
+2026-06-19 14:43:09.475 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 14:45:09.717 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 56: training:  50%|█████     | 1/2 [03:30<03:30, 210.45s/it]              2026-06-19 14:52:11.836 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 57, train_steps: 2280
+Global Step 56: training: 100%|██████████| 2/2 [07:02<00:00, 211.04s/it]10, 10.41s/it]
+2026-06-19 14:52:12.471 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 57	train_steps 2280	{'step': '57/10000', 'learning_rate': '0.00001000', 'loss': '1.588e-07', 'grad_norm': '0.00658095', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.61724854', 'grpo_loop_time': '422.09005737', 'ref_model_time': '114.65615845', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86557972', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09872653', 'token_credit_video_advantage_mean': '-9.919e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.427e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.588e-07', 'kl_loss': '0.00802002', 'kl_moving': '0.00802002', 'kl_stepwise': '-1.923e-08', 'gathered_avg_reward_mean': '-0.09872653', 'gathered_avg_reward_std': '0.10620283', 'gathered_vlm_logprob_reward_mean': '-0.09872653', 'gathered_vlm_logprob_reward_std': '0.10620282', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09872653', 'gathered_vlm_token_credit_reward_std': '0.10620282', 'gathered_vlm_yes_no_margin_reward_mean': '3.74296880', 'gathered_vlm_yes_no_margin_reward_std': '0.81635463', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952686', 'gathered_ori_avg_reward_mean': '-0.09872653', 'gathered_ori_avg_reward_std': '0.10620282'}
+2026-06-19 14:52:12.526 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 14:52:12.612 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 14:52:12.630 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:52:12.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 14:53:18.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000057/group_0/index_7324_seed_9609_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 14:53:22.455 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:53:40.557 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:53:40.564 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 14:53:40.565 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 14:54:48.771 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000057/group_0/index_7324_seed_9610_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 14:54:54.180 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 14:55:12.136 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 14:55:13.057 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 14:55:13.168 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 14:55:13.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.51s/it]
+2026-06-19 14:57:08.883 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.79s (1.91min)
+2026-06-19 14:57:09.597 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 14:59:09.880 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 57: training:  50%|█████     | 1/2 [03:30<03:30, 210.28s/it]              2026-06-19 15:06:12.283 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 58, train_steps: 2320
+Global Step 57: training: 100%|██████████| 2/2 [07:02<00:00, 211.19s/it]10, 10.52s/it]
+2026-06-19 15:06:12.917 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 58	train_steps 2320	{'step': '58/10000', 'learning_rate': '0.00001000', 'loss': '3.702e-08', 'grad_norm': '0.00472063', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.02429199', 'grpo_loop_time': '422.37841797', 'ref_model_time': '114.78542328', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86849362', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07432895', 'token_credit_video_advantage_mean': '-2.515e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.419e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.679e-08', 'kl_loss': '0.00682516', 'kl_moving': '0.00682517', 'kl_stepwise': '-1.944e-08', 'gathered_avg_reward_mean': '-0.07432896', 'gathered_avg_reward_std': '0.06881708', 'gathered_vlm_logprob_reward_mean': '-0.07432896', 'gathered_vlm_logprob_reward_std': '0.06881708', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07432896', 'gathered_vlm_token_credit_reward_std': '0.06881708', 'gathered_vlm_yes_no_margin_reward_mean': '3.64648438', 'gathered_vlm_yes_no_margin_reward_std': '0.74381399', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614378', 'gathered_ori_avg_reward_mean': '-0.07432896', 'gathered_ori_avg_reward_std': '0.06881708'}
+2026-06-19 15:06:12.984 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 15:06:13.065 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 15:06:13.081 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:06:13.160 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 15:07:19.632 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000058/group_0/index_4989_seed_16546_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 15:07:24.440 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:07:41.823 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:07:41.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:07:41.833 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-19 15:08:48.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000058/group_0/index_4989_seed_16547_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 15:08:53.440 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:09:10.913 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:09:13.062 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 15:09:13.202 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 15:09:13.945 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-19 15:11:08.799 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.71s (1.91min)
+2026-06-19 15:11:09.498 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 15:13:09.811 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 58: training:  50%|█████     | 1/2 [03:30<03:30, 210.28s/it]              2026-06-19 15:20:12.060 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 59, train_steps: 2360
+Global Step 58: training: 100%|██████████| 2/2 [07:02<00:00, 211.10s/it]10, 10.42s/it]
+2026-06-19 15:20:12.684 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 59	train_steps 2360	{'step': '59/10000', 'learning_rate': '0.00001000', 'loss': '1.490e-08', 'grad_norm': '0.00655991', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.46694946', 'grpo_loop_time': '422.20004272', 'ref_model_time': '114.70676422', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88336265', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08702701', 'token_credit_video_advantage_mean': '-1.420e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.118e-08', 'kl_loss': '0.00845199', 'kl_moving': '0.00845199', 'kl_stepwise': '-1.981e-08', 'gathered_avg_reward_mean': '-0.08702701', 'gathered_avg_reward_std': '0.10231446', 'gathered_vlm_logprob_reward_mean': '-0.08702701', 'gathered_vlm_logprob_reward_std': '0.10231446', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08702701', 'gathered_vlm_token_credit_reward_std': '0.10231446', 'gathered_vlm_yes_no_margin_reward_mean': '3.70898438', 'gathered_vlm_yes_no_margin_reward_std': '0.90691108', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.08702701', 'gathered_ori_avg_reward_std': '0.10231446'}
+2026-06-19 15:20:12.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 15:20:12.827 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 15:20:12.861 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:20:12.994 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 15:21:19.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000059/group_0/index_4108_seed_23778_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 15:21:22.758 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:21:41.290 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:21:41.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:21:41.300 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-19 15:22:48.012 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000059/group_0/index_4108_seed_23779_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 15:22:51.040 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:23:08.560 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:23:12.371 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 15:23:12.463 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 15:23:13.554 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:40<00:00, 50.03s/it]
+2026-06-19 15:25:09.031 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.28s (1.92min)
+2026-06-19 15:25:09.742 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 15:27:10.367 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 59: training:  50%|█████     | 1/2 [03:29<03:29, 209.79s/it]              2026-06-19 15:34:12.065 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 60, train_steps: 2400
+Global Step 59: training: 100%|██████████| 2/2 [07:01<00:00, 210.84s/it]10, 10.42s/it]
+2026-06-19 15:34:12.618 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 60	train_steps 2400	{'step': '60/10000', 'learning_rate': '0.00001000', 'loss': '2.142e-08', 'grad_norm': '0.00808998', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.95675659', 'grpo_loop_time': '421.69018555', 'ref_model_time': '115.27512360', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86509275', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09044990', 'token_credit_video_advantage_mean': '-1.024e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.474e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.142e-08', 'kl_loss': '0.00852256', 'kl_moving': '0.00852257', 'kl_stepwise': '-1.965e-08', 'gathered_avg_reward_mean': '-0.09044991', 'gathered_avg_reward_std': '0.09269987', 'gathered_vlm_logprob_reward_mean': '-0.09044991', 'gathered_vlm_logprob_reward_std': '0.09269986', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09044991', 'gathered_vlm_token_credit_reward_std': '0.09269986', 'gathered_vlm_yes_no_margin_reward_mean': '3.82070303', 'gathered_vlm_yes_no_margin_reward_std': '1.03231525', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.09044991', 'gathered_ori_avg_reward_std': '0.09269986'}
+2026-06-19 15:34:47.991 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=60 (missing=0, unexpected=0)
+2026-06-19 15:34:50.615 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 15:34:50.801 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 15:34:50.897 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:34:50.977 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-19 15:35:58.830 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000060/group_0/index_7288_seed_20155_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 15:36:01.913 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:36:20.423 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:36:20.431 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:36:20.431 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-19 15:37:28.480 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000060/group_0/index_7288_seed_20156_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 15:37:32.253 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:37:50.033 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:37:53.529 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 15:37:53.658 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 15:37:54.759 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-19 15:39:47.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.94s (1.88min)
+2026-06-19 15:39:48.403 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 15:41:45.236 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 60: training:  50%|█████     | 1/2 [03:27<03:27, 207.41s/it]              2026-06-19 15:48:44.583 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 61, train_steps: 2440
+Global Step 60: training: 100%|██████████| 2/2 [06:59<00:00, 209.67s/it]10, 10.42s/it]
+2026-06-19 15:48:45.238 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 61	train_steps 2440	{'step': '61/10000', 'learning_rate': '0.00001000', 'loss': '6.007e-08', 'grad_norm': '0.00811282', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.74197388', 'grpo_loop_time': '419.33474731', 'ref_model_time': '112.94279480', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88298947', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10650659', 'token_credit_video_advantage_mean': '-2.515e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.007e-08', 'kl_loss': '0.00829714', 'kl_moving': '0.00829715', 'kl_stepwise': '-1.967e-08', 'gathered_avg_reward_mean': '-0.10650660', 'gathered_avg_reward_std': '0.14091218', 'gathered_vlm_logprob_reward_mean': '-0.10650659', 'gathered_vlm_logprob_reward_std': '0.14091218', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10650659', 'gathered_vlm_token_credit_reward_std': '0.14091218', 'gathered_vlm_yes_no_margin_reward_mean': '3.74179673', 'gathered_vlm_yes_no_margin_reward_std': '0.98003566', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.09473442', 'gathered_ori_avg_reward_mean': '-0.10650659', 'gathered_ori_avg_reward_std': '0.14091218'}
+2026-06-19 15:48:45.292 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 15:48:45.383 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 15:48:45.411 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:48:45.507 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 15:49:51.740 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000061/group_0/index_7919_seed_4851_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 15:49:54.810 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:50:12.711 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:50:12.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 15:50:12.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.17s/it][01:03<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.17s/it]
+2026-06-19 15:51:23.490 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000061/group_0/index_7919_seed_4852_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 15:51:26.729 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 15:51:44.481 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 15:51:47.609 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 15:51:47.697 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 15:51:48.630 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.69s/it]
+2026-06-19 15:53:41.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.04s (1.88min)
+2026-06-19 15:53:42.400 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 15:55:39.328 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 61: training:  50%|█████     | 1/2 [03:27<03:27, 207.78s/it]              2026-06-19 16:02:39.006 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 62, train_steps: 2480
+Global Step 61: training: 100%|██████████| 2/2 [06:59<00:00, 209.83s/it]10, 10.44s/it]
+2026-06-19 16:02:39.632 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 62	train_steps 2480	{'step': '62/10000', 'learning_rate': '0.00001000', 'loss': '6.985e-08', 'grad_norm': '0.00643362', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.05825806', 'grpo_loop_time': '419.66589355', 'ref_model_time': '113.04096222', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85785657', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10546264', 'token_credit_video_advantage_mean': '-4.028e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.467e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.985e-08', 'kl_loss': '0.00795319', 'kl_moving': '0.00795319', 'kl_stepwise': '-1.922e-08', 'gathered_avg_reward_mean': '-0.10546265', 'gathered_avg_reward_std': '0.11185262', 'gathered_vlm_logprob_reward_mean': '-0.10546266', 'gathered_vlm_logprob_reward_std': '0.11185262', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10546266', 'gathered_vlm_token_credit_reward_std': '0.11185262', 'gathered_vlm_yes_no_margin_reward_mean': '3.46367192', 'gathered_vlm_yes_no_margin_reward_std': '0.71782452', 'gathered_vlm_yes_ratio_reward_mean': '0.96562505', 'gathered_vlm_yes_ratio_reward_std': '0.09051717', 'gathered_ori_avg_reward_mean': '-0.10546266', 'gathered_ori_avg_reward_std': '0.11185262'}
+2026-06-19 16:02:39.687 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 16:02:39.778 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 16:02:39.827 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:02:39.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 16:03:45.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000062/group_0/index_2641_seed_15967_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 16:03:49.190 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:04:06.835 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:04:06.843 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:04:06.843 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.24s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.24s/it]
+2026-06-19 16:05:18.949 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000062/group_0/index_2641_seed_15968_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 16:05:24.093 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:05:41.844 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:05:44.132 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 16:05:44.238 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 16:05:45.075 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-06-19 16:07:38.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.59s (1.89min)
+2026-06-19 16:07:39.470 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 16:09:38.854 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 62: training:  50%|█████     | 1/2 [03:27<03:27, 207.81s/it]              2026-06-19 16:16:39.312 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 63, train_steps: 2520
+Global Step 62: training: 100%|██████████| 2/2 [07:00<00:00, 210.23s/it]10, 10.45s/it]
+2026-06-19 16:16:39.979 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 63	train_steps 2520	{'step': '63/10000', 'learning_rate': '0.00001000', 'loss': '-3.597e-08', 'grad_norm': '0.00622445', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.73696899', 'grpo_loop_time': '420.46118164', 'ref_model_time': '113.58879089', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86545885', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10127518', 'token_credit_video_advantage_mean': '3.306e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.452e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.597e-08', 'kl_loss': '0.00766614', 'kl_moving': '0.00766614', 'kl_stepwise': '-1.919e-08', 'gathered_avg_reward_mean': '-0.10127517', 'gathered_avg_reward_std': '0.12859643', 'gathered_vlm_logprob_reward_mean': '-0.10127518', 'gathered_vlm_logprob_reward_std': '0.12859643', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10127518', 'gathered_vlm_token_credit_reward_std': '0.12859643', 'gathered_vlm_yes_no_margin_reward_mean': '3.54609394', 'gathered_vlm_yes_no_margin_reward_std': '1.07378411', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.10127518', 'gathered_ori_avg_reward_std': '0.12859643'}
+2026-06-19 16:16:40.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 16:16:40.121 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 16:16:40.151 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:16:40.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 16:17:47.014 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000063/group_0/index_2475_seed_8902_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 16:17:50.738 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:18:08.158 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:18:08.165 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:18:08.165 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.22s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.22s/it]
+2026-06-19 16:19:20.011 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000063/group_0/index_2475_seed_8903_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 16:19:24.816 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:19:42.086 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:19:45.197 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 16:19:45.335 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 16:19:46.237 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.12s/it]
+2026-06-19 16:21:39.598 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.36s (1.89min)
+2026-06-19 16:21:40.303 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 16:23:38.882 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 63: training:  50%|█████     | 1/2 [03:28<03:28, 208.90s/it]              2026-06-19 16:30:40.936 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 64, train_steps: 2560
+Global Step 63: training: 100%|██████████| 2/2 [07:02<00:00, 211.01s/it]10, 10.53s/it]
+2026-06-19 16:30:41.569 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 64	train_steps 2560	{'step': '64/10000', 'learning_rate': '0.00001000', 'loss': '4.377e-08', 'grad_norm': '0.00700287', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '300.22445679', 'grpo_loop_time': '422.04339600', 'ref_model_time': '113.35703278', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86761862', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10470150', 'token_credit_video_advantage_mean': '-3.865e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.448e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.377e-08', 'kl_loss': '0.00808651', 'kl_moving': '0.00808652', 'kl_stepwise': '-1.953e-08', 'gathered_avg_reward_mean': '-0.10470150', 'gathered_avg_reward_std': '0.08632298', 'gathered_vlm_logprob_reward_mean': '-0.10470149', 'gathered_vlm_logprob_reward_std': '0.08632299', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10470149', 'gathered_vlm_token_credit_reward_std': '0.08632299', 'gathered_vlm_yes_no_margin_reward_mean': '3.52539062', 'gathered_vlm_yes_no_margin_reward_std': '0.69305271', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.10470149', 'gathered_ori_avg_reward_std': '0.08632299'}
+2026-06-19 16:30:41.625 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 16:30:41.716 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 16:30:41.755 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:30:41.799 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 16:31:48.380 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000064/group_0/index_5671_seed_5319_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 16:31:51.692 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:32:08.997 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:32:09.004 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:32:09.004 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.24s/it][01:04<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.24s/it]
+2026-06-19 16:33:21.052 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000064/group_0/index_5671_seed_5320_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 16:33:24.533 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:33:42.075 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:33:45.471 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 16:33:45.584 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 16:33:46.491 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.85s/it]
+2026-06-19 16:35:40.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.63s (1.89min)
+2026-06-19 16:35:40.844 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 16:37:39.399 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 64: training:  50%|█████     | 1/2 [03:28<03:28, 208.62s/it]              2026-06-19 16:44:41.298 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 65, train_steps: 2600
+Global Step 64: training: 100%|██████████| 2/2 [07:01<00:00, 210.94s/it]10, 10.55s/it]
+2026-06-19 16:44:41.841 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 65	train_steps 2600	{'step': '65/10000', 'learning_rate': '0.00001000', 'loss': '1.356e-07', 'grad_norm': '0.00546783', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.17205811', 'grpo_loop_time': '421.88677979', 'ref_model_time': '113.63309479', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89409471', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09226272', 'token_credit_video_advantage_mean': '-7.777e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.469e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.356e-07', 'kl_loss': '0.00723572', 'kl_moving': '0.00723572', 'kl_stepwise': '-1.978e-08', 'gathered_avg_reward_mean': '-0.09226272', 'gathered_avg_reward_std': '0.09926403', 'gathered_vlm_logprob_reward_mean': '-0.09226272', 'gathered_vlm_logprob_reward_std': '0.09926403', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09226272', 'gathered_vlm_token_credit_reward_std': '0.09926403', 'gathered_vlm_yes_no_margin_reward_mean': '3.80703115', 'gathered_vlm_yes_no_margin_reward_std': '0.79798907', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261843', 'gathered_ori_avg_reward_mean': '-0.09226272', 'gathered_ori_avg_reward_std': '0.09926403'}
+2026-06-19 16:44:41.967 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 16:44:42.050 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 16:44:42.067 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:44:42.185 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 16:45:48.771 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000065/group_0/index_9828_seed_19026_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 16:45:51.903 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:46:09.202 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:46:09.212 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:46:09.213 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:06,  3.31s/it][01:06<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:06<00:00,  3.31s/it]
+2026-06-19 16:47:22.892 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000065/group_0/index_9828_seed_19027_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 16:47:26.024 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 16:47:43.705 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 16:47:47.481 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 16:47:47.578 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 16:47:48.426 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.41s/it]
+2026-06-19 16:49:42.245 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.72s (1.90min)
+2026-06-19 16:49:42.958 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 16:51:40.036 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 65: training:  50%|█████     | 1/2 [03:27<03:27, 207.80s/it]              2026-06-19 16:58:41.279 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 66, train_steps: 2640
+Global Step 65: training: 100%|██████████| 2/2 [07:01<00:00, 210.62s/it]10, 10.66s/it]
+2026-06-19 16:58:41.936 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 66	train_steps 2640	{'step': '66/10000', 'learning_rate': '0.00001000', 'loss': '2.049e-07', 'grad_norm': '0.00566359', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '300.93884277', 'grpo_loop_time': '421.23312378', 'ref_model_time': '113.72112274', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88824028', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05602354', 'token_credit_video_advantage_mean': '-1.219e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.409e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.049e-07', 'kl_loss': '0.00752590', 'kl_moving': '0.00752590', 'kl_stepwise': '-1.930e-08', 'gathered_avg_reward_mean': '-0.05602354', 'gathered_avg_reward_std': '0.03259342', 'gathered_vlm_logprob_reward_mean': '-0.05602354', 'gathered_vlm_logprob_reward_std': '0.03259343', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05602354', 'gathered_vlm_token_credit_reward_std': '0.03259343', 'gathered_vlm_yes_no_margin_reward_mean': '3.72617197', 'gathered_vlm_yes_no_margin_reward_std': '0.57201040', 'gathered_vlm_yes_ratio_reward_mean': '0.99687499', 'gathered_vlm_yes_ratio_reward_std': '0.02480392', 'gathered_ori_avg_reward_mean': '-0.05602354', 'gathered_ori_avg_reward_std': '0.03259343'}
+2026-06-19 16:58:41.989 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 16:58:42.077 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 16:58:42.094 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 16:58:42.171 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 16:59:48.330 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000066/group_0/index_8959_seed_28930_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 16:59:53.416 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:00:11.108 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:00:11.118 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:00:11.118 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-19 17:01:19.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000066/group_0/index_8959_seed_28931_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 17:01:23.341 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:01:41.153 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:01:43.599 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 17:01:43.652 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 17:01:44.516 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-06-19 17:03:37.975 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.34s (1.89min)
+2026-06-19 17:03:38.681 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 17:05:38.383 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 66: training:  50%|█████     | 1/2 [03:28<03:28, 208.64s/it]              2026-06-19 17:12:40.118 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 67, train_steps: 2680
+Global Step 66: training: 100%|██████████| 2/2 [07:01<00:00, 210.89s/it]10, 10.54s/it]
+2026-06-19 17:12:40.807 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 67	train_steps 2680	{'step': '67/10000', 'learning_rate': '0.00001000', 'loss': '1.304e-08', 'grad_norm': '0.00583385', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.64355469', 'grpo_loop_time': '421.77352905', 'ref_model_time': '113.33832550', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89021069', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10586174', 'token_credit_video_advantage_mean': '2.794e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.409e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.304e-08', 'kl_loss': '0.00788576', 'kl_moving': '0.00788576', 'kl_stepwise': '-1.863e-08', 'gathered_avg_reward_mean': '-0.10586175', 'gathered_avg_reward_std': '0.13372153', 'gathered_vlm_logprob_reward_mean': '-0.10586174', 'gathered_vlm_logprob_reward_std': '0.13372153', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10586174', 'gathered_vlm_token_credit_reward_std': '0.13372153', 'gathered_vlm_yes_no_margin_reward_mean': '3.64062500', 'gathered_vlm_yes_no_margin_reward_std': '0.99398100', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.08046496', 'gathered_ori_avg_reward_mean': '-0.10586174', 'gathered_ori_avg_reward_std': '0.13372153'}
+2026-06-19 17:12:40.908 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 17:12:40.996 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 17:12:41.166 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:12:41.295 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 17:13:47.568 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000067/group_0/index_4889_seed_4284_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 17:13:50.900 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:14:08.395 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:14:08.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:14:08.406 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.24s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.24s/it]
+2026-06-19 17:15:20.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000067/group_0/index_4889_seed_4285_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 17:15:23.981 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:15:41.777 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:15:44.529 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 17:15:44.625 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 17:15:45.557 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.68s/it]
+2026-06-19 17:17:38.956 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-06-19 17:17:39.679 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 17:19:39.114 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 67: training:  50%|█████     | 1/2 [03:28<03:28, 208.09s/it]              2026-06-19 17:26:39.547 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 68, train_steps: 2720
+Global Step 67: training: 100%|██████████| 2/2 [07:00<00:00, 210.21s/it]10, 10.48s/it]
+2026-06-19 17:26:40.104 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 68	train_steps 2720	{'step': '68/10000', 'learning_rate': '0.00001000', 'loss': '-2.907e-08', 'grad_norm': '0.00648753', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.72393799', 'grpo_loop_time': '420.42581177', 'ref_model_time': '113.37142181', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85340297', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08555429', 'token_credit_video_advantage_mean': '9.168e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.432e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.907e-08', 'kl_loss': '0.00842361', 'kl_moving': '0.00842361', 'kl_stepwise': '-1.926e-08', 'gathered_avg_reward_mean': '-0.08555429', 'gathered_avg_reward_std': '0.06489289', 'gathered_vlm_logprob_reward_mean': '-0.08555429', 'gathered_vlm_logprob_reward_std': '0.06489289', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08555429', 'gathered_vlm_token_credit_reward_std': '0.06489289', 'gathered_vlm_yes_no_margin_reward_mean': '3.75117183', 'gathered_vlm_yes_no_margin_reward_std': '0.75704283', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614380', 'gathered_ori_avg_reward_mean': '-0.08555429', 'gathered_ori_avg_reward_std': '0.06489289'}
+2026-06-19 17:26:40.215 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 17:26:40.297 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 17:26:40.316 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:26:40.395 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 17:27:46.842 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000068/group_0/index_1455_seed_8802_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 17:27:49.750 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:28:07.212 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:28:07.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:28:07.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:05,  3.28s/it][01:05<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:05<00:00,  3.28s/it]
+2026-06-19 17:29:20.097 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000068/group_0/index_1455_seed_8803_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 17:29:25.319 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:29:43.070 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:29:43.886 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 17:29:43.926 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 17:29:44.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-06-19 17:31:38.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.76s (1.90min)
+2026-06-19 17:31:39.420 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 17:33:38.460 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 68: training:  50%|█████     | 1/2 [03:28<03:28, 208.15s/it]              2026-06-19 17:40:38.374 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 69, train_steps: 2760
+Global Step 68: training: 100%|██████████| 2/2 [06:59<00:00, 209.95s/it]10, 10.42s/it]
+2026-06-19 17:40:38.918 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 69	train_steps 2760	{'step': '69/10000', 'learning_rate': '0.00001000', 'loss': '1.118e-07', 'grad_norm': '0.00656188', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.15878296', 'grpo_loop_time': '419.89816284', 'ref_model_time': '113.76557159', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88045758', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12582092', 'token_credit_video_advantage_mean': '-7.823e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.457e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.118e-07', 'kl_loss': '0.00767792', 'kl_moving': '0.00767792', 'kl_stepwise': '-1.972e-08', 'gathered_avg_reward_mean': '-0.12582095', 'gathered_avg_reward_std': '0.15167053', 'gathered_vlm_logprob_reward_mean': '-0.12582093', 'gathered_vlm_logprob_reward_std': '0.15167053', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12582093', 'gathered_vlm_token_credit_reward_std': '0.15167053', 'gathered_vlm_yes_no_margin_reward_mean': '3.42226553', 'gathered_vlm_yes_no_margin_reward_std': '0.83053446', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08992185', 'gathered_ori_avg_reward_mean': '-0.12582093', 'gathered_ori_avg_reward_std': '0.15167053'}
+2026-06-19 17:40:39.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 17:40:39.118 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 17:40:39.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:40:39.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 17:41:45.205 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000069/group_0/index_3653_seed_9722_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 17:41:48.251 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:42:05.880 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:42:05.890 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:42:05.890 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.19s/it][01:03<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.19s/it]
+2026-06-19 17:43:17.327 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000069/group_0/index_3653_seed_9723_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 17:43:20.960 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:43:38.592 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:43:41.069 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 17:43:41.177 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 17:43:42.187 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.70s/it]
+2026-06-19 17:45:35.854 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.55s (1.89min)
+2026-06-19 17:45:36.569 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 17:47:37.116 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 69: training:  50%|█████     | 1/2 [03:29<03:29, 209.30s/it]              2026-06-19 17:54:38.577 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 70, train_steps: 2800
+Global Step 69: training: 100%|██████████| 2/2 [07:01<00:00, 210.72s/it]10, 10.43s/it]
+2026-06-19 17:54:39.146 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 70	train_steps 2800	{'step': '70/10000', 'learning_rate': '0.00001000', 'loss': '8.661e-08', 'grad_norm': '0.00566185', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.48675537', 'grpo_loop_time': '421.44894409', 'ref_model_time': '113.55461884', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88609576', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12578477', 'token_credit_video_advantage_mean': '-4.610e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.452e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.661e-08', 'kl_loss': '0.00820940', 'kl_moving': '0.00820940', 'kl_stepwise': '-1.955e-08', 'gathered_avg_reward_mean': '-0.12578477', 'gathered_avg_reward_std': '0.11532005', 'gathered_vlm_logprob_reward_mean': '-0.12578477', 'gathered_vlm_logprob_reward_std': '0.11532005', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12578477', 'gathered_vlm_token_credit_reward_std': '0.11532005', 'gathered_vlm_yes_no_margin_reward_mean': '3.53046870', 'gathered_vlm_yes_no_margin_reward_std': '0.91440797', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.12578477', 'gathered_ori_avg_reward_std': '0.11532005'}
+2026-06-19 17:55:14.750 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=70 (missing=0, unexpected=0)
+2026-06-19 17:55:16.976 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 17:55:17.150 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 17:55:17.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:55:17.335 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 17:56:26.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000070/group_0/index_5473_seed_18408_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 17:56:29.404 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:56:47.462 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:56:47.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 17:56:47.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.95s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 17:57:54.675 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000070/group_0/index_5473_seed_18409_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 17:57:59.909 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 17:58:17.713 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 17:58:18.228 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 17:58:18.521 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 17:58:19.547 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.71s/it]
+2026-06-19 18:00:13.128 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.58s (1.89min)
+2026-06-19 18:00:13.838 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 18:02:13.851 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 70: training:  50%|█████     | 1/2 [03:28<03:28, 208.11s/it]              2026-06-19 18:09:13.895 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 71, train_steps: 2840
+Global Step 70: training: 100%|██████████| 2/2 [07:00<00:00, 210.02s/it]10, 10.43s/it]
+2026-06-19 18:09:14.560 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 71	train_steps 2840	{'step': '71/10000', 'learning_rate': '0.00001000', 'loss': '-1.490e-08', 'grad_norm': '0.00701971', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.81689453', 'grpo_loop_time': '420.04129028', 'ref_model_time': '113.57981110', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84090513', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11361866', 'token_credit_video_advantage_mean': '1.397e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.456e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.490e-08', 'kl_loss': '0.00781252', 'kl_moving': '0.00781252', 'kl_stepwise': '-1.925e-08', 'gathered_avg_reward_mean': '-0.11361866', 'gathered_avg_reward_std': '0.13070649', 'gathered_vlm_logprob_reward_mean': '-0.11361866', 'gathered_vlm_logprob_reward_std': '0.13070650', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11361866', 'gathered_vlm_token_credit_reward_std': '0.13070650', 'gathered_vlm_yes_no_margin_reward_mean': '3.51328135', 'gathered_vlm_yes_no_margin_reward_std': '0.75344217', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.11361866', 'gathered_ori_avg_reward_std': '0.13070650'}
+2026-06-19 18:09:14.615 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 18:09:14.719 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 18:09:14.801 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:09:14.962 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 18:10:21.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000071/group_0/index_5902_seed_4454_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 18:10:24.159 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:10:41.580 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:10:41.590 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:10:41.591 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.14s/it][01:02<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.14s/it]
+2026-06-19 18:11:51.825 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000071/group_0/index_5902_seed_4455_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 18:11:57.172 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:12:14.857 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:12:16.021 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 18:12:16.129 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 18:12:16.964 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.69s/it]
+2026-06-19 18:14:12.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.67s (1.93min)
+2026-06-19 18:14:13.460 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 18:16:12.695 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 71: training:  50%|█████     | 1/2 [03:28<03:28, 208.93s/it]              2026-06-19 18:23:13.832 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 72, train_steps: 2880
+Global Step 71: training: 100%|██████████| 2/2 [07:01<00:00, 210.56s/it]10, 10.43s/it]
+2026-06-19 18:23:14.430 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 72	train_steps 2880	{'step': '72/10000', 'learning_rate': '0.00001000', 'loss': '5.472e-08', 'grad_norm': '0.00688203', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.79644775', 'grpo_loop_time': '421.13009644', 'ref_model_time': '115.66948700', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86860973', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.04882776', 'token_credit_video_advantage_mean': '-3.353e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.458e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.285e-08', 'kl_loss': '0.00773516', 'kl_moving': '0.00773517', 'kl_stepwise': '-1.985e-08', 'gathered_avg_reward_mean': '-0.04882776', 'gathered_avg_reward_std': '0.03842924', 'gathered_vlm_logprob_reward_mean': '-0.04882776', 'gathered_vlm_logprob_reward_std': '0.03842924', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.04882776', 'gathered_vlm_token_credit_reward_std': '0.03842924', 'gathered_vlm_yes_no_margin_reward_mean': '3.92617178', 'gathered_vlm_yes_no_margin_reward_std': '0.72590774', 'gathered_vlm_yes_ratio_reward_mean': '0.99687499', 'gathered_vlm_yes_ratio_reward_std': '0.02480392', 'gathered_ori_avg_reward_mean': '-0.04882776', 'gathered_ori_avg_reward_std': '0.03842924'}
+2026-06-19 18:23:14.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 18:23:14.604 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 18:23:14.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:23:14.737 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 18:24:21.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000072/group_0/index_9363_seed_11532_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 18:24:24.494 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:24:42.035 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:24:42.045 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:24:42.046 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-19 18:25:51.418 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000072/group_0/index_9363_seed_11533_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 18:25:54.725 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:26:12.484 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:26:14.711 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 18:26:14.849 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 18:26:15.889 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.78s/it]
+2026-06-19 18:28:10.439 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.45s (1.91min)
+2026-06-19 18:28:11.146 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 18:30:10.990 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 72: training:  50%|█████     | 1/2 [03:29<03:29, 209.77s/it]              2026-06-19 18:37:12.787 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 73, train_steps: 2920
+Global Step 72: training: 100%|██████████| 2/2 [07:01<00:00, 210.89s/it]10, 10.43s/it]
+2026-06-19 18:37:13.396 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 73	train_steps 2920	{'step': '73/10000', 'learning_rate': '0.00001000', 'loss': '-4.424e-08', 'grad_norm': '0.00983946', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.59332275', 'grpo_loop_time': '421.77978516', 'ref_model_time': '114.44860840', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87862337', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06083994', 'token_credit_video_advantage_mean': '3.958e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.454e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.424e-08', 'kl_loss': '0.00767349', 'kl_moving': '0.00767350', 'kl_stepwise': '-1.953e-08', 'gathered_avg_reward_mean': '-0.06083994', 'gathered_avg_reward_std': '0.05618553', 'gathered_vlm_logprob_reward_mean': '-0.06083994', 'gathered_vlm_logprob_reward_std': '0.05618554', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06083994', 'gathered_vlm_token_credit_reward_std': '0.05618554', 'gathered_vlm_yes_no_margin_reward_mean': '3.79101539', 'gathered_vlm_yes_no_margin_reward_std': '0.72449285', 'gathered_vlm_yes_ratio_reward_mean': '0.99687499', 'gathered_vlm_yes_ratio_reward_std': '0.02480392', 'gathered_ori_avg_reward_mean': '-0.06083994', 'gathered_ori_avg_reward_std': '0.05618554'}
+2026-06-19 18:37:13.455 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 18:37:13.544 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 18:37:13.593 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:37:13.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 18:38:19.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000073/group_0/index_4474_seed_30408_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 18:38:25.217 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:38:42.913 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:38:42.922 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:38:42.924 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 18:39:50.037 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000073/group_0/index_4474_seed_30409_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 18:39:54.809 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:40:12.766 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:40:13.249 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 18:40:13.303 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 18:40:14.134 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-19 18:42:09.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.16s (1.92min)
+2026-06-19 18:42:10.285 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 18:44:10.449 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 73: training:  50%|█████     | 1/2 [03:29<03:29, 209.91s/it]              2026-06-19 18:51:12.749 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 74, train_steps: 2960
+Global Step 73: training: 100%|██████████| 2/2 [07:02<00:00, 211.14s/it]10, 10.46s/it]
+2026-06-19 18:51:13.417 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 74	train_steps 2960	{'step': '74/10000', 'learning_rate': '0.00001000', 'loss': '-4.377e-08', 'grad_norm': '0.00973196', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.77972412', 'grpo_loop_time': '422.29031372', 'ref_model_time': '115.16235352', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87653279', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11547939', 'token_credit_video_advantage_mean': '2.910e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.482e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.377e-08', 'kl_loss': '0.00709248', 'kl_moving': '0.00709248', 'kl_stepwise': '-1.985e-08', 'gathered_avg_reward_mean': '-0.11547939', 'gathered_avg_reward_std': '0.09545387', 'gathered_vlm_logprob_reward_mean': '-0.11547939', 'gathered_vlm_logprob_reward_std': '0.09545387', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11547939', 'gathered_vlm_token_credit_reward_std': '0.09545387', 'gathered_vlm_yes_no_margin_reward_mean': '3.46835947', 'gathered_vlm_yes_no_margin_reward_std': '0.67158049', 'gathered_vlm_yes_ratio_reward_mean': '0.94999999', 'gathered_vlm_yes_ratio_reward_std': '0.08660255', 'gathered_ori_avg_reward_mean': '-0.11547939', 'gathered_ori_avg_reward_std': '0.09545387'}
+2026-06-19 18:51:13.467 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 18:51:13.555 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 18:51:13.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:51:13.649 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 18:52:20.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000074/group_0/index_2055_seed_18410_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 18:52:23.749 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:52:42.321 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:52:42.331 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 18:52:42.331 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-19 18:53:49.939 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000074/group_0/index_2055_seed_18411_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 18:53:53.036 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 18:54:10.616 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 18:54:13.982 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 18:54:14.118 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 18:54:14.941 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.89s/it]
+2026-06-19 18:56:10.312 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.21s (1.92min)
+2026-06-19 18:56:11.030 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 18:58:11.442 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 74: training:  50%|█████     | 1/2 [03:30<03:30, 210.23s/it]              2026-06-19 19:05:14.008 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 75, train_steps: 3000
+Global Step 74: training: 100%|██████████| 2/2 [07:02<00:00, 211.28s/it]10, 10.45s/it]
+2026-06-19 19:05:14.700 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 75	train_steps 3000	{'step': '75/10000', 'learning_rate': '0.00001000', 'loss': '2.235e-08', 'grad_norm': '0.00545344', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.51538086', 'grpo_loop_time': '422.55603027', 'ref_model_time': '115.20944977', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87181711', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.13791394', 'token_credit_video_advantage_mean': '-2.049e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.403e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.235e-08', 'kl_loss': '0.00703054', 'kl_moving': '0.00703055', 'kl_stepwise': '-1.926e-08', 'gathered_avg_reward_mean': '-0.13791394', 'gathered_avg_reward_std': '0.14461951', 'gathered_vlm_logprob_reward_mean': '-0.13791394', 'gathered_vlm_logprob_reward_std': '0.14461951', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.13791394', 'gathered_vlm_token_credit_reward_std': '0.14461951', 'gathered_vlm_yes_no_margin_reward_mean': '3.30976534', 'gathered_vlm_yes_no_margin_reward_std': '0.79626346', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.09514585', 'gathered_ori_avg_reward_mean': '-0.13791394', 'gathered_ori_avg_reward_std': '0.14461951'}
+2026-06-19 19:06:23.221 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 75 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-75
+2026-06-19 19:06:23.230 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 19:06:23.362 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 19:06:23.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:06:23.645 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 19:07:29.817 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000075/group_0/index_2964_seed_16199_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 19:07:35.145 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:07:53.018 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:07:53.027 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:07:53.028 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-19 19:08:58.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000075/group_0/index_2964_seed_16200_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 19:09:03.567 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:09:21.700 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:09:24.209 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 19:09:24.298 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 19:09:25.118 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.36s/it]
+2026-06-19 19:11:18.397 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.14s (1.89min)
+2026-06-19 19:11:19.100 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 19:13:16.253 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 75: training:  50%|█████     | 1/2 [03:28<03:28, 208.41s/it]              2026-06-19 19:20:16.311 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 76, train_steps: 3040
+Global Step 75: training: 100%|██████████| 2/2 [07:00<00:00, 210.02s/it]10, 10.42s/it]
+2026-06-19 19:20:16.903 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 76	train_steps 3040	{'step': '76/10000', 'learning_rate': '0.00001000', 'loss': '-4.098e-08', 'grad_norm': '0.00938107', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.82369995', 'grpo_loop_time': '420.04959106', 'ref_model_time': '113.14010620', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86380434', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09288446', 'token_credit_video_advantage_mean': '3.399e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.357e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.098e-08', 'kl_loss': '0.00820837', 'kl_moving': '0.00820837', 'kl_stepwise': '-1.916e-08', 'gathered_avg_reward_mean': '-0.09288445', 'gathered_avg_reward_std': '0.10326949', 'gathered_vlm_logprob_reward_mean': '-0.09288445', 'gathered_vlm_logprob_reward_std': '0.10326950', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09288445', 'gathered_vlm_token_credit_reward_std': '0.10326950', 'gathered_vlm_yes_no_margin_reward_mean': '3.62812519', 'gathered_vlm_yes_no_margin_reward_std': '0.87874764', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.09288445', 'gathered_ori_avg_reward_std': '0.10326950'}
+2026-06-19 19:20:16.989 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 19:20:17.068 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 19:20:17.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:20:17.141 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 19:21:23.289 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000076/group_0/index_6685_seed_4210_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 19:21:26.880 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:21:44.477 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:21:44.487 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:21:44.488 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.10s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.10s/it]
+2026-06-19 19:22:53.868 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000076/group_0/index_6685_seed_4211_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 19:22:59.012 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:23:16.454 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:23:18.455 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 19:23:18.524 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 19:23:19.755 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.50s/it]
+2026-06-19 19:25:13.441 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.66s (1.89min)
+2026-06-19 19:25:14.146 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 19:27:12.734 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 76: training:  50%|█████     | 1/2 [03:28<03:28, 208.66s/it]              2026-06-19 19:34:13.262 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 77, train_steps: 3080
+Global Step 76: training: 100%|██████████| 2/2 [07:00<00:00, 210.26s/it]10, 10.43s/it]
+2026-06-19 19:34:13.837 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 77	train_steps 3080	{'step': '77/10000', 'learning_rate': '0.00001000', 'loss': '2.561e-08', 'grad_norm': '0.00552073', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.10806274', 'grpo_loop_time': '420.52478027', 'ref_model_time': '113.66248322', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87116468', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09287078', 'token_credit_video_advantage_mean': '-2.002e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.475e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.561e-08', 'kl_loss': '0.00733708', 'kl_moving': '0.00733709', 'kl_stepwise': '-1.996e-08', 'gathered_avg_reward_mean': '-0.09287077', 'gathered_avg_reward_std': '0.08100325', 'gathered_vlm_logprob_reward_mean': '-0.09287077', 'gathered_vlm_logprob_reward_std': '0.08100324', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09287077', 'gathered_vlm_token_credit_reward_std': '0.08100324', 'gathered_vlm_yes_no_margin_reward_mean': '3.65351534', 'gathered_vlm_yes_no_margin_reward_std': '0.67702055', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.08046497', 'gathered_ori_avg_reward_mean': '-0.09287077', 'gathered_ori_avg_reward_std': '0.08100324'}
+2026-06-19 19:34:13.949 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 19:34:14.030 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 19:34:14.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:34:14.104 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 19:35:20.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000077/group_0/index_8076_seed_31063_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 19:35:25.072 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:35:42.219 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:35:42.228 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:35:42.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 19:36:49.339 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000077/group_0/index_8076_seed_31064_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 19:36:53.133 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:37:11.008 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:37:13.073 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 19:37:13.168 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 19:37:14.130 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-19 19:39:08.733 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.60s (1.91min)
+2026-06-19 19:39:09.440 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 19:41:09.771 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 77: training:  50%|█████     | 1/2 [03:30<03:30, 210.63s/it]              2026-06-19 19:48:12.647 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 78, train_steps: 3120
+Global Step 77: training: 100%|██████████| 2/2 [07:02<00:00, 211.42s/it]10, 10.46s/it]
+2026-06-19 19:48:13.313 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 78	train_steps 3120	{'step': '78/10000', 'learning_rate': '0.00001000', 'loss': '1.127e-07', 'grad_norm': '0.00594903', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.44320679', 'grpo_loop_time': '422.83566284', 'ref_model_time': '114.59947968', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85969108', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07390951', 'token_credit_video_advantage_mean': '-5.867e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.422e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.127e-07', 'kl_loss': '0.00825951', 'kl_moving': '0.00825951', 'kl_stepwise': '-1.896e-08', 'gathered_avg_reward_mean': '-0.07390951', 'gathered_avg_reward_std': '0.08141726', 'gathered_vlm_logprob_reward_mean': '-0.07390951', 'gathered_vlm_logprob_reward_std': '0.08141726', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07390951', 'gathered_vlm_token_credit_reward_std': '0.08141726', 'gathered_vlm_yes_no_margin_reward_mean': '3.73085928', 'gathered_vlm_yes_no_margin_reward_std': '0.69197041', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07390951', 'gathered_ori_avg_reward_std': '0.08141726'}
+2026-06-19 19:48:13.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 19:48:13.455 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 19:48:13.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:48:13.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 19:49:19.944 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000078/group_0/index_2217_seed_24417_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 19:49:23.138 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:49:41.023 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:49:41.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 19:49:41.033 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-19 19:50:50.057 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000078/group_0/index_2217_seed_24418_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 19:50:53.271 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 19:51:11.094 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 19:51:13.322 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 19:51:13.377 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 19:51:14.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.62s/it]
+2026-06-19 19:53:09.267 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.83s (1.91min)
+2026-06-19 19:53:09.975 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 19:55:09.987 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 78: training:  50%|█████     | 1/2 [03:30<03:30, 210.62s/it]              2026-06-19 20:02:13.174 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 79, train_steps: 3160
+Global Step 78: training: 100%|██████████| 2/2 [07:03<00:00, 211.57s/it]10, 10.47s/it]
+2026-06-19 20:02:13.830 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 79	train_steps 3160	{'step': '79/10000', 'learning_rate': '0.00001000', 'loss': '-1.409e-07', 'grad_norm': '0.00655454', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.56402588', 'grpo_loop_time': '423.14578247', 'ref_model_time': '114.83404541', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86167324', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09691521', 'token_credit_video_advantage_mean': '7.486e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.459e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.409e-07', 'kl_loss': '0.00843595', 'kl_moving': '0.00843596', 'kl_stepwise': '-1.977e-08', 'gathered_avg_reward_mean': '-0.09691521', 'gathered_avg_reward_std': '0.09897719', 'gathered_vlm_logprob_reward_mean': '-0.09691521', 'gathered_vlm_logprob_reward_std': '0.09897719', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09691521', 'gathered_vlm_token_credit_reward_std': '0.09897719', 'gathered_vlm_yes_no_margin_reward_mean': '3.64218760', 'gathered_vlm_yes_no_margin_reward_std': '0.78532529', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.08076780', 'gathered_ori_avg_reward_mean': '-0.09691521', 'gathered_ori_avg_reward_std': '0.09897719'}
+2026-06-19 20:02:13.884 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 20:02:13.974 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 20:02:13.992 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:02:14.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 20:03:20.531 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000079/group_0/index_2237_seed_22609_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 20:03:25.755 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:03:43.347 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:03:43.356 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:03:43.356 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-19 20:04:49.901 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000079/group_0/index_2237_seed_22610_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 20:04:54.678 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:05:12.311 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:05:13.092 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 20:05:13.126 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 20:05:13.994 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.44s/it]
+2026-06-19 20:07:09.659 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.53s (1.93min)
+2026-06-19 20:07:10.385 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 20:09:11.033 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 79: training:  50%|█████     | 1/2 [03:30<03:30, 210.29s/it]              2026-06-19 20:16:13.937 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 80, train_steps: 3200
+Global Step 79: training: 100%|██████████| 2/2 [07:02<00:00, 211.45s/it]10, 10.45s/it]
+2026-06-19 20:16:14.516 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 80	train_steps 3200	{'step': '80/10000', 'learning_rate': '0.00001000', 'loss': '-4.098e-08', 'grad_norm': '0.00551167', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.44793701', 'grpo_loop_time': '422.89480591', 'ref_model_time': '115.52922058', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85921907', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.13231778', 'token_credit_video_advantage_mean': '1.816e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.390e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.144e-08', 'kl_loss': '0.00784003', 'kl_moving': '0.00784003', 'kl_stepwise': '-1.982e-08', 'gathered_avg_reward_mean': '-0.13231778', 'gathered_avg_reward_std': '0.12656820', 'gathered_vlm_logprob_reward_mean': '-0.13231778', 'gathered_vlm_logprob_reward_std': '0.12656820', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.13231778', 'gathered_vlm_token_credit_reward_std': '0.12656820', 'gathered_vlm_yes_no_margin_reward_mean': '3.60195303', 'gathered_vlm_yes_no_margin_reward_std': '0.90490526', 'gathered_vlm_yes_ratio_reward_mean': '0.95000005', 'gathered_vlm_yes_ratio_reward_std': '0.09354144', 'gathered_ori_avg_reward_mean': '-0.13231778', 'gathered_ori_avg_reward_std': '0.12656820'}
+2026-06-19 20:16:51.131 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=80 (missing=0, unexpected=0)
+2026-06-19 20:16:53.092 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 20:16:53.239 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 20:16:53.319 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:16:53.470 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.00s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.00s/it]
+2026-06-19 20:18:01.887 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000080/group_0/index_357_seed_1772_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 20:18:05.573 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:18:23.544 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:18:23.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:18:23.554 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.00s/it][01:00<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.00s/it]
+2026-06-19 20:19:31.086 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000080/group_0/index_357_seed_1773_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 20:19:36.516 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:19:54.077 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:19:54.752 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 20:19:54.791 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 20:19:55.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.41s/it]
+2026-06-19 20:21:49.661 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.87s (1.90min)
+2026-06-19 20:21:50.363 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 20:23:47.273 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 80: training:  50%|█████     | 1/2 [03:28<03:28, 208.09s/it]              2026-06-19 20:30:47.428 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 81, train_steps: 3240
+Global Step 80: training: 100%|██████████| 2/2 [07:00<00:00, 210.08s/it]10, 10.42s/it]
+2026-06-19 20:30:48.095 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 81	train_steps 3240	{'step': '81/10000', 'learning_rate': '0.00001000', 'loss': '-2.049e-08', 'grad_norm': '0.00923476', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.22369385', 'grpo_loop_time': '420.15240479', 'ref_model_time': '113.86544800', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85924459', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07477998', 'token_credit_video_advantage_mean': '8.382e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.442e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.049e-08', 'kl_loss': '0.00796309', 'kl_moving': '0.00796310', 'kl_stepwise': '-1.939e-08', 'gathered_avg_reward_mean': '-0.07477999', 'gathered_avg_reward_std': '0.06336791', 'gathered_vlm_logprob_reward_mean': '-0.07477999', 'gathered_vlm_logprob_reward_std': '0.06336791', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07477999', 'gathered_vlm_token_credit_reward_std': '0.06336791', 'gathered_vlm_yes_no_margin_reward_mean': '3.78632832', 'gathered_vlm_yes_no_margin_reward_std': '0.66847146', 'gathered_vlm_yes_ratio_reward_mean': '0.98749995', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.07477999', 'gathered_ori_avg_reward_std': '0.06336791'}
+2026-06-19 20:30:48.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 20:30:48.236 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 20:30:48.263 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:30:48.328 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 20:31:55.028 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000081/group_0/index_6482_seed_17570_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 20:31:58.562 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:32:15.941 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:32:15.951 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:32:15.951 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.10s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.10s/it]
+2026-06-19 20:33:25.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000081/group_0/index_6482_seed_17571_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 20:33:28.910 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:33:46.563 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:33:49.272 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 20:33:49.393 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 20:33:50.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.74s/it]
+2026-06-19 20:35:44.031 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.70s (1.89min)
+2026-06-19 20:35:44.752 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 20:37:41.678 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 81: training:  50%|█████     | 1/2 [03:26<03:26, 206.33s/it]              2026-06-19 20:44:39.997 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 82, train_steps: 3280
+Global Step 81: training: 100%|██████████| 2/2 [06:58<00:00, 209.15s/it]10, 10.43s/it]
+2026-06-19 20:44:40.584 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 82	train_steps 3280	{'step': '82/10000', 'learning_rate': '0.00001000', 'loss': '1.676e-07', 'grad_norm': '0.00632377', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.56124878', 'grpo_loop_time': '418.33718872', 'ref_model_time': '113.69793701', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86777651', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12527373', 'token_credit_video_advantage_mean': '-9.243e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.455e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.676e-07', 'kl_loss': '0.00746885', 'kl_moving': '0.00746885', 'kl_stepwise': '-1.907e-08', 'gathered_avg_reward_mean': '-0.12527373', 'gathered_avg_reward_std': '0.10422407', 'gathered_vlm_logprob_reward_mean': '-0.12527373', 'gathered_vlm_logprob_reward_std': '0.10422406', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12527373', 'gathered_vlm_token_credit_reward_std': '0.10422406', 'gathered_vlm_yes_no_margin_reward_mean': '3.41015625', 'gathered_vlm_yes_no_margin_reward_std': '1.08416975', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08992185', 'gathered_ori_avg_reward_mean': '-0.12527373', 'gathered_ori_avg_reward_std': '0.10422406'}
+2026-06-19 20:44:40.696 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 20:44:40.778 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 20:44:40.795 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:44:40.859 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 20:45:47.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000082/group_0/index_4776_seed_6618_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 20:45:52.943 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:46:10.359 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:46:10.368 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:46:10.371 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-19 20:47:20.186 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000082/group_0/index_4776_seed_6619_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 20:47:24.875 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 20:47:42.629 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 20:47:44.135 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 20:47:44.193 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 20:47:45.019 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.52s/it]
+2026-06-19 20:49:38.578 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.41s (1.89min)
+2026-06-19 20:49:39.275 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 20:51:38.423 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 82: training:  50%|█████     | 1/2 [03:28<03:28, 208.54s/it]              2026-06-19 20:58:38.989 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 83, train_steps: 3320
+Global Step 82: training: 100%|██████████| 2/2 [07:00<00:00, 210.30s/it]10, 10.43s/it]
+2026-06-19 20:58:39.686 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 83	train_steps 3320	{'step': '83/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-10', 'grad_norm': '0.00748710', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.53228760', 'grpo_loop_time': '420.60211182', 'ref_model_time': '113.41499329', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86257064', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05065168', 'token_credit_video_advantage_mean': '7.101e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.445e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.313e-10', 'kl_loss': '0.00743558', 'kl_moving': '0.00743558', 'kl_stepwise': '-1.958e-08', 'gathered_avg_reward_mean': '-0.05065168', 'gathered_avg_reward_std': '0.04446158', 'gathered_vlm_logprob_reward_mean': '-0.05065168', 'gathered_vlm_logprob_reward_std': '0.04446158', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05065168', 'gathered_vlm_token_credit_reward_std': '0.04446158', 'gathered_vlm_yes_no_margin_reward_mean': '4.00664043', 'gathered_vlm_yes_no_margin_reward_std': '0.95739561', 'gathered_vlm_yes_ratio_reward_mean': '1.00000000', 'gathered_vlm_yes_ratio_reward_std': '0.00000000', 'gathered_ori_avg_reward_mean': '-0.05065168', 'gathered_ori_avg_reward_std': '0.04446158'}
+2026-06-19 20:58:39.739 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 20:58:39.827 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 20:58:39.906 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 20:58:40.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 20:59:46.196 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000083/group_0/index_306_seed_30904_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 20:59:49.875 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:00:07.362 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:00:07.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:00:07.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:05,  3.25s/it][01:05<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:05<00:00,  3.25s/it]
+2026-06-19 21:01:19.995 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000083/group_0/index_306_seed_30905_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 21:01:23.292 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:01:40.803 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:01:44.303 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 21:01:44.421 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 21:01:45.259 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.57s/it]
+2026-06-19 21:03:38.627 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.28s (1.89min)
+2026-06-19 21:03:39.339 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 21:05:38.827 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 83: training:  50%|█████     | 1/2 [03:28<03:28, 208.02s/it]              2026-06-19 21:12:38.922 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 84, train_steps: 3360
+Global Step 83: training: 100%|██████████| 2/2 [07:00<00:00, 210.05s/it]10, 10.42s/it]
+2026-06-19 21:12:39.595 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 84	train_steps 3360	{'step': '84/10000', 'learning_rate': '0.00001000', 'loss': '8.009e-08', 'grad_norm': '0.00623759', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.55325317', 'grpo_loop_time': '420.10992432', 'ref_model_time': '113.28191376', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86223519', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06787644', 'token_credit_video_advantage_mean': '-4.098e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.454e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.009e-08', 'kl_loss': '0.00757376', 'kl_moving': '0.00757376', 'kl_stepwise': '-1.892e-08', 'gathered_avg_reward_mean': '-0.06787644', 'gathered_avg_reward_std': '0.07875693', 'gathered_vlm_logprob_reward_mean': '-0.06787644', 'gathered_vlm_logprob_reward_std': '0.07875693', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06787644', 'gathered_vlm_token_credit_reward_std': '0.07875693', 'gathered_vlm_yes_no_margin_reward_mean': '3.89804697', 'gathered_vlm_yes_no_margin_reward_std': '0.99948525', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.06787644', 'gathered_ori_avg_reward_std': '0.07875693'}
+2026-06-19 21:12:39.648 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 21:12:39.736 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 21:12:39.753 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:12:39.843 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 21:13:46.490 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000084/group_0/index_7318_seed_27899_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 21:13:49.963 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:14:07.356 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:14:07.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:14:07.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:05,  3.26s/it][01:04<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:05<00:00,  3.26s/it]
+2026-06-19 21:15:20.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000084/group_0/index_7318_seed_27900_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 21:15:25.465 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:15:43.779 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:15:43.790 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 21:15:43.803 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 21:15:44.750 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.23s/it]
+2026-06-19 21:17:38.151 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.31s (1.89min)
+2026-06-19 21:17:38.864 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 21:19:38.524 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 84: training:  50%|█████     | 1/2 [03:28<03:28, 208.36s/it]              2026-06-19 21:26:39.496 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 85, train_steps: 3400
+Global Step 84: training: 100%|██████████| 2/2 [07:00<00:00, 210.48s/it]10, 10.43s/it]
+2026-06-19 21:26:40.068 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 85	train_steps 3400	{'step': '85/10000', 'learning_rate': '0.00001000', 'loss': '7.101e-08', 'grad_norm': '0.00605414', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.16702271', 'grpo_loop_time': '420.96966553', 'ref_model_time': '113.30523682', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88247454', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06640985', 'token_credit_video_advantage_mean': '-4.191e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.466e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.101e-08', 'kl_loss': '0.00786229', 'kl_moving': '0.00786229', 'kl_stepwise': '-1.935e-08', 'gathered_avg_reward_mean': '-0.06640985', 'gathered_avg_reward_std': '0.07849885', 'gathered_vlm_logprob_reward_mean': '-0.06640986', 'gathered_vlm_logprob_reward_std': '0.07849885', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06640986', 'gathered_vlm_token_credit_reward_std': '0.07849885', 'gathered_vlm_yes_no_margin_reward_mean': '4.01679659', 'gathered_vlm_yes_no_margin_reward_std': '1.14051843', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.06640986', 'gathered_ori_avg_reward_std': '0.07849885'}
+2026-06-19 21:26:40.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 21:26:40.250 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 21:26:40.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:26:40.329 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 21:27:46.771 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000085/group_0/index_7637_seed_15724_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 21:27:51.453 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:28:09.201 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:28:09.208 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:28:09.208 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.18s/it][01:03<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.18s/it]
+2026-06-19 21:29:20.282 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000085/group_0/index_7637_seed_15725_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 21:29:25.034 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:29:42.851 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:29:43.697 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 21:29:43.733 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 21:29:44.604 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.56s/it]
+2026-06-19 21:31:38.268 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.52s (1.89min)
+2026-06-19 21:31:38.988 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 21:33:38.756 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 85: training:  50%|█████     | 1/2 [03:28<03:28, 208.05s/it]              2026-06-19 21:40:38.640 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 86, train_steps: 3440
+Global Step 85: training: 100%|██████████| 2/2 [06:59<00:00, 209.94s/it]10, 10.42s/it]
+2026-06-19 21:40:39.315 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 86	train_steps 3440	{'step': '86/10000', 'learning_rate': '0.00001000', 'loss': '1.108e-07', 'grad_norm': '0.00632259', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.77407837', 'grpo_loop_time': '419.88687134', 'ref_model_time': '113.51810455', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84699667', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05582200', 'token_credit_video_advantage_mean': '-7.125e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.512e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.108e-07', 'kl_loss': '0.00812044', 'kl_moving': '0.00812044', 'kl_stepwise': '-2.027e-08', 'gathered_avg_reward_mean': '-0.05582199', 'gathered_avg_reward_std': '0.04659074', 'gathered_vlm_logprob_reward_mean': '-0.05582200', 'gathered_vlm_logprob_reward_std': '0.04659074', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05582200', 'gathered_vlm_token_credit_reward_std': '0.04659074', 'gathered_vlm_yes_no_margin_reward_mean': '3.87695312', 'gathered_vlm_yes_no_margin_reward_std': '0.71853662', 'gathered_vlm_yes_ratio_reward_mean': '0.99687499', 'gathered_vlm_yes_ratio_reward_std': '0.02480392', 'gathered_ori_avg_reward_mean': '-0.05582200', 'gathered_ori_avg_reward_std': '0.04659074'}
+2026-06-19 21:40:39.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 21:40:39.453 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 21:40:39.469 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:40:39.552 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-19 21:41:46.047 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000086/group_0/index_7339_seed_10900_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 21:41:49.693 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:42:07.272 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:42:07.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:42:07.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.20s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.20s/it]
+2026-06-19 21:43:18.776 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000086/group_0/index_7339_seed_10901_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 21:43:21.887 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:43:39.538 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:43:42.867 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 21:43:42.937 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 21:43:43.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.19s/it]
+2026-06-19 21:45:37.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-06-19 21:45:37.987 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 21:47:37.710 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 86: training:  50%|█████     | 1/2 [03:28<03:28, 208.70s/it]              2026-06-19 21:54:39.045 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 87, train_steps: 3480
+Global Step 86: training: 100%|██████████| 2/2 [07:01<00:00, 210.67s/it]10, 10.51s/it]
+2026-06-19 21:54:39.621 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 87	train_steps 3480	{'step': '87/10000', 'learning_rate': '0.00001000', 'loss': '-4.470e-08', 'grad_norm': '0.00843724', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.57446289', 'grpo_loop_time': '421.33929443', 'ref_model_time': '113.36906433', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87156248', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12685026', 'token_credit_video_advantage_mean': '2.701e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.453e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.470e-08', 'kl_loss': '0.00903776', 'kl_moving': '0.00903776', 'kl_stepwise': '-1.939e-08', 'gathered_avg_reward_mean': '-0.12685028', 'gathered_avg_reward_std': '0.10264231', 'gathered_vlm_logprob_reward_mean': '-0.12685028', 'gathered_vlm_logprob_reward_std': '0.10264231', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12685028', 'gathered_vlm_token_credit_reward_std': '0.10264231', 'gathered_vlm_yes_no_margin_reward_mean': '3.50351572', 'gathered_vlm_yes_no_margin_reward_std': '0.85165125', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.12685028', 'gathered_ori_avg_reward_std': '0.10264231'}
+2026-06-19 21:54:39.742 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 21:54:39.825 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 21:54:39.852 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:54:39.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 21:55:46.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000087/group_0/index_1372_seed_1463_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 21:55:49.431 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:56:06.977 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:56:06.988 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 21:56:06.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.24s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.24s/it]
+2026-06-19 21:57:19.314 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000087/group_0/index_1372_seed_1464_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 21:57:22.544 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 21:57:40.325 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 21:57:43.169 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 21:57:43.250 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 21:57:44.197 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.22s/it]
+2026-06-19 21:59:37.603 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.39s (1.89min)
+2026-06-19 21:59:38.318 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 22:01:38.556 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 87: training:  50%|█████     | 1/2 [03:28<03:28, 209.00s/it]              2026-06-19 22:08:39.984 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 88, train_steps: 3520
+Global Step 87: training: 100%|██████████| 2/2 [07:01<00:00, 210.71s/it]10, 10.43s/it]
+2026-06-19 22:08:40.562 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 88	train_steps 3520	{'step': '88/10000', 'learning_rate': '0.00001000', 'loss': '-6.123e-08', 'grad_norm': '0.00786135', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.52850342', 'grpo_loop_time': '421.43338013', 'ref_model_time': '113.39436340', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88206816', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.14476356', 'token_credit_video_advantage_mean': '3.725e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.503e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.496e-08', 'kl_loss': '0.00917715', 'kl_moving': '0.00917715', 'kl_stepwise': '-1.979e-08', 'gathered_avg_reward_mean': '-0.14476356', 'gathered_avg_reward_std': '0.15468737', 'gathered_vlm_logprob_reward_mean': '-0.14476356', 'gathered_vlm_logprob_reward_std': '0.15468737', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.14476356', 'gathered_vlm_token_credit_reward_std': '0.15468737', 'gathered_vlm_yes_no_margin_reward_mean': '3.31640625', 'gathered_vlm_yes_no_margin_reward_std': '0.62818283', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.09180270', 'gathered_ori_avg_reward_mean': '-0.14476356', 'gathered_ori_avg_reward_std': '0.15468737'}
+2026-06-19 22:08:40.670 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 22:08:40.753 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 22:08:40.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:08:40.822 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 22:09:46.882 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000088/group_0/index_8870_seed_20304_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 22:09:50.335 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:10:08.145 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:10:08.152 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:10:08.153 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.20s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.20s/it]
+2026-06-19 22:11:19.768 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000088/group_0/index_8870_seed_20305_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 22:11:25.130 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:11:42.937 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:11:43.755 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 22:11:43.865 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 22:11:44.706 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.48s/it]
+2026-06-19 22:13:38.389 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.57s (1.89min)
+2026-06-19 22:13:39.103 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 22:15:38.304 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 88: training:  50%|█████     | 1/2 [03:28<03:28, 208.19s/it]              2026-06-19 22:22:38.701 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 89, train_steps: 3560
+Global Step 88: training: 100%|██████████| 2/2 [07:00<00:00, 210.19s/it]10, 10.43s/it]
+2026-06-19 22:22:39.367 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 89	train_steps 3560	{'step': '89/10000', 'learning_rate': '0.00001000', 'loss': '1.155e-07', 'grad_norm': '0.00894325', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.38232422', 'grpo_loop_time': '420.38977051', 'ref_model_time': '113.57490540', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84590626', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12421267', 'token_credit_video_advantage_mean': '-6.706e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.431e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.118e-07', 'kl_loss': '0.00831509', 'kl_moving': '0.00831509', 'kl_stepwise': '-1.953e-08', 'gathered_avg_reward_mean': '-0.12421268', 'gathered_avg_reward_std': '0.10897225', 'gathered_vlm_logprob_reward_mean': '-0.12421267', 'gathered_vlm_logprob_reward_std': '0.10897225', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12421267', 'gathered_vlm_token_credit_reward_std': '0.10897225', 'gathered_vlm_yes_no_margin_reward_mean': '3.52773428', 'gathered_vlm_yes_no_margin_reward_std': '0.85927969', 'gathered_vlm_yes_ratio_reward_mean': '0.93750000', 'gathered_vlm_yes_ratio_reward_std': '0.09270248', 'gathered_ori_avg_reward_mean': '-0.12421267', 'gathered_ori_avg_reward_std': '0.10897225'}
+2026-06-19 22:22:39.424 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 22:22:39.512 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 22:22:39.530 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:22:39.635 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 22:23:45.823 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000089/group_0/index_3239_seed_18003_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 22:23:49.468 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:24:07.280 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:24:07.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:24:07.291 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:05,  3.26s/it][01:05<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:05<00:00,  3.26s/it]
+2026-06-19 22:25:19.965 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000089/group_0/index_3239_seed_18004_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 22:25:25.389 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:25:43.108 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:25:43.683 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 22:25:43.757 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 22:25:44.650 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.50s/it]
+2026-06-19 22:27:38.162 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-06-19 22:27:38.886 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 22:29:38.494 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 89: training:  50%|█████     | 1/2 [03:28<03:28, 208.46s/it]              2026-06-19 22:36:39.414 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 90, train_steps: 3600
+Global Step 89: training: 100%|██████████| 2/2 [07:00<00:00, 210.45s/it]10, 10.44s/it]
+2026-06-19 22:36:40.111 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 90	train_steps 3600	{'step': '90/10000', 'learning_rate': '0.00001000', 'loss': '-1.863e-08', 'grad_norm': '0.00636151', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.41442871', 'grpo_loop_time': '420.95574951', 'ref_model_time': '113.36763763', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84543401', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11309966', 'token_credit_video_advantage_mean': '-5.588e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.435e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.863e-08', 'kl_loss': '0.00789000', 'kl_moving': '0.00789000', 'kl_stepwise': '-1.914e-08', 'gathered_avg_reward_mean': '-0.11309967', 'gathered_avg_reward_std': '0.10781704', 'gathered_vlm_logprob_reward_mean': '-0.11309967', 'gathered_vlm_logprob_reward_std': '0.10781705', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11309967', 'gathered_vlm_token_credit_reward_std': '0.10781705', 'gathered_vlm_yes_no_margin_reward_mean': '3.55820322', 'gathered_vlm_yes_no_margin_reward_std': '0.91618538', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.07806247', 'gathered_ori_avg_reward_mean': '-0.11309967', 'gathered_ori_avg_reward_std': '0.10781705'}
+2026-06-19 22:37:15.564 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=90 (missing=0, unexpected=0)
+2026-06-19 22:37:17.307 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 22:37:17.463 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 22:37:17.545 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:37:17.652 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.95s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.95s/it]
+2026-06-19 22:38:25.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000090/group_0/index_9416_seed_10361_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 22:38:29.896 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:38:47.604 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:38:47.614 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:38:47.614 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.00s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.00s/it]
+2026-06-19 22:39:55.105 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000090/group_0/index_9416_seed_10362_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 22:39:59.753 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:40:17.633 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:40:19.240 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 22:40:19.310 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 22:40:20.175 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.52s/it]
+2026-06-19 22:42:14.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.70s (1.89min)
+2026-06-19 22:42:14.863 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 22:44:13.687 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 90: training:  50%|█████     | 1/2 [03:28<03:28, 208.48s/it]              2026-06-19 22:51:14.859 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 91, train_steps: 3640
+Global Step 90: training: 100%|██████████| 2/2 [07:00<00:00, 210.46s/it]10, 10.44s/it]
+2026-06-19 22:51:15.570 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 91	train_steps 3640	{'step': '91/10000', 'learning_rate': '0.00001000', 'loss': '1.024e-08', 'grad_norm': '0.00569857', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.50976562', 'grpo_loop_time': '420.93145752', 'ref_model_time': '113.69680023', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87578112', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.14203930', 'token_credit_video_advantage_mean': '-4.657e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.463e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.024e-08', 'kl_loss': '0.00717375', 'kl_moving': '0.00717376', 'kl_stepwise': '-1.913e-08', 'gathered_avg_reward_mean': '-0.14203930', 'gathered_avg_reward_std': '0.11716741', 'gathered_vlm_logprob_reward_mean': '-0.14203930', 'gathered_vlm_logprob_reward_std': '0.11716742', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.14203930', 'gathered_vlm_token_credit_reward_std': '0.11716742', 'gathered_vlm_yes_no_margin_reward_mean': '3.25039053', 'gathered_vlm_yes_no_margin_reward_std': '0.92951280', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.10748364', 'gathered_ori_avg_reward_mean': '-0.14203930', 'gathered_ori_avg_reward_std': '0.11716742'}
+2026-06-19 22:51:15.700 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 22:51:15.805 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 22:51:15.920 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:51:16.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 22:52:22.223 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000091/group_0/index_827_seed_17315_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 22:52:25.903 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:52:43.508 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:52:43.518 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 22:52:43.518 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-19 22:53:52.112 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000091/group_0/index_827_seed_17316_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 22:53:55.178 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 22:54:12.721 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 22:54:15.937 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 22:54:16.029 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 22:54:16.988 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.20s/it]
+2026-06-19 22:56:12.671 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.67s (1.93min)
+2026-06-19 22:56:13.388 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 22:58:13.111 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 91: training:  50%|█████     | 1/2 [03:28<03:28, 208.92s/it]              2026-06-19 23:05:14.262 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 92, train_steps: 3680
+Global Step 91: training: 100%|██████████| 2/2 [07:01<00:00, 210.64s/it]10, 10.42s/it]
+2026-06-19 23:05:15.063 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 92	train_steps 3680	{'step': '92/10000', 'learning_rate': '0.00001000', 'loss': '4.750e-08', 'grad_norm': '0.00637147', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.64071655', 'grpo_loop_time': '421.28176880', 'ref_model_time': '115.67229462', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88265121', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08161665', 'token_credit_video_advantage_mean': '-2.049e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.418e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '4.005e-08', 'kl_loss': '0.00775643', 'kl_moving': '0.00775644', 'kl_stepwise': '-1.900e-08', 'gathered_avg_reward_mean': '-0.08161665', 'gathered_avg_reward_std': '0.08540311', 'gathered_vlm_logprob_reward_mean': '-0.08161665', 'gathered_vlm_logprob_reward_std': '0.08540311', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08161665', 'gathered_vlm_token_credit_reward_std': '0.08540311', 'gathered_vlm_yes_no_margin_reward_mean': '3.85039043', 'gathered_vlm_yes_no_margin_reward_std': '0.64229953', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.08161665', 'gathered_ori_avg_reward_std': '0.08540311'}
+2026-06-19 23:05:15.117 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 23:05:15.204 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 23:05:15.221 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:05:15.308 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-19 23:06:21.623 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000092/group_0/index_6760_seed_17098_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 23:06:26.934 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:06:44.216 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:06:44.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:06:44.226 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-19 23:07:51.273 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000092/group_0/index_6760_seed_17099_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 23:07:54.926 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:08:12.693 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:08:16.058 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 23:08:16.174 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 23:08:17.125 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.31s/it]
+2026-06-19 23:10:11.751 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.62s (1.91min)
+2026-06-19 23:10:12.471 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 23:12:11.283 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 92: training:  50%|█████     | 1/2 [03:29<03:29, 209.75s/it]              2026-06-19 23:19:13.491 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 93, train_steps: 3720
+Global Step 92: training: 100%|██████████| 2/2 [07:02<00:00, 211.09s/it]10, 10.43s/it]
+2026-06-19 23:19:14.066 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 93	train_steps 3720	{'step': '93/10000', 'learning_rate': '0.00001000', 'loss': '9.034e-08', 'grad_norm': '0.00579801', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.30691528', 'grpo_loop_time': '422.18310547', 'ref_model_time': '114.61916351', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85015339', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11779370', 'token_credit_video_advantage_mean': '-5.541e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.429e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.034e-08', 'kl_loss': '0.00750976', 'kl_moving': '0.00750976', 'kl_stepwise': '-1.953e-08', 'gathered_avg_reward_mean': '-0.11779369', 'gathered_avg_reward_std': '0.13599929', 'gathered_vlm_logprob_reward_mean': '-0.11779369', 'gathered_vlm_logprob_reward_std': '0.13599929', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11779369', 'gathered_vlm_token_credit_reward_std': '0.13599929', 'gathered_vlm_yes_no_margin_reward_mean': '3.43281269', 'gathered_vlm_yes_no_margin_reward_std': '1.01086748', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.11035276', 'gathered_ori_avg_reward_mean': '-0.11779369', 'gathered_ori_avg_reward_std': '0.13599929'}
+2026-06-19 23:19:14.151 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 23:19:14.234 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 23:19:14.250 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:19:14.308 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-19 23:20:20.937 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000093/group_0/index_4904_seed_17667_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 23:20:26.229 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:20:43.972 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:20:43.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:20:43.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.95s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.95s/it]
+2026-06-19 23:21:50.445 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000093/group_0/index_4904_seed_17668_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 23:21:55.205 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:22:12.900 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:22:14.354 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 23:22:14.425 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 23:22:15.477 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.51s/it]
+2026-06-19 23:24:10.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.33s (1.92min)
+2026-06-19 23:24:11.707 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 23:26:11.285 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 93: training:  50%|█████     | 1/2 [03:30<03:30, 210.08s/it]              2026-06-19 23:33:13.930 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 94, train_steps: 3760
+Global Step 93: training: 100%|██████████| 2/2 [07:02<00:00, 211.32s/it]10, 10.48s/it]
+2026-06-19 23:33:14.583 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 94	train_steps 3760	{'step': '94/10000', 'learning_rate': '0.00001000', 'loss': '-1.024e-08', 'grad_norm': '0.00573927', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.51000977', 'grpo_loop_time': '422.64941406', 'ref_model_time': '115.33397675', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86677432', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07654202', 'token_credit_video_advantage_mean': '-5.122e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.410e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.397e-08', 'kl_loss': '0.00760794', 'kl_moving': '0.00760795', 'kl_stepwise': '-1.911e-08', 'gathered_avg_reward_mean': '-0.07654202', 'gathered_avg_reward_std': '0.06832604', 'gathered_vlm_logprob_reward_mean': '-0.07654202', 'gathered_vlm_logprob_reward_std': '0.06832604', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07654202', 'gathered_vlm_token_credit_reward_std': '0.06832604', 'gathered_vlm_yes_no_margin_reward_mean': '3.69140625', 'gathered_vlm_yes_no_margin_reward_std': '0.75689816', 'gathered_vlm_yes_ratio_reward_mean': '0.98749995', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.07654202', 'gathered_ori_avg_reward_std': '0.06832604'}
+2026-06-19 23:33:14.639 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 23:33:14.728 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 23:33:14.744 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:33:14.823 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-19 23:34:21.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000094/group_0/index_2342_seed_31533_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 23:34:26.176 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:34:43.893 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:34:43.902 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:34:43.903 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-19 23:35:51.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000094/group_0/index_2342_seed_31534_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 23:35:56.536 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:36:14.195 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:36:16.135 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 23:36:16.171 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 23:36:17.031 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-19 23:38:12.062 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.89s (1.91min)
+2026-06-19 23:38:12.784 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 23:40:11.320 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 94: training:  50%|█████     | 1/2 [03:29<03:29, 209.02s/it]              2026-06-19 23:47:11.867 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 95, train_steps: 3800
+Global Step 94: training: 100%|██████████| 2/2 [07:00<00:00, 210.26s/it]10, 10.33s/it]
+2026-06-19 23:47:12.427 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 95	train_steps 3800	{'step': '95/10000', 'learning_rate': '0.00001000', 'loss': '-6.537e-08', 'grad_norm': '0.00697052', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.09780884', 'grpo_loop_time': '420.53314209', 'ref_model_time': '114.88986206', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89701879', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06000833', 'token_credit_video_advantage_mean': '4.191e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.413e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.537e-08', 'kl_loss': '0.00773835', 'kl_moving': '0.00773835', 'kl_stepwise': '-1.931e-08', 'gathered_avg_reward_mean': '-0.06000833', 'gathered_avg_reward_std': '0.06399828', 'gathered_vlm_logprob_reward_mean': '-0.06000833', 'gathered_vlm_logprob_reward_std': '0.06399828', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06000833', 'gathered_vlm_token_credit_reward_std': '0.06399828', 'gathered_vlm_yes_no_margin_reward_mean': '4.09570312', 'gathered_vlm_yes_no_margin_reward_std': '0.84439272', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.06000833', 'gathered_ori_avg_reward_std': '0.06399828'}
+2026-06-19 23:47:12.589 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-19 23:47:12.691 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-19 23:47:12.755 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:47:12.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.88s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.88s/it]
+2026-06-19 23:48:18.924 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000095/group_0/index_6549_seed_31222_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-19 23:48:22.712 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:48:40.110 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:48:40.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-19 23:48:40.122 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-19 23:49:48.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000095/group_0/index_6549_seed_31223_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-19 23:49:51.439 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-19 23:50:09.221 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-19 23:50:12.004 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-19 23:50:12.037 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-19 23:50:13.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.94s/it]
+2026-06-19 23:52:08.073 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.82s (1.91min)
+2026-06-19 23:52:08.791 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-19 23:54:07.677 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 95: training:  50%|█████     | 1/2 [03:30<03:30, 210.18s/it]              2026-06-20 00:01:09.768 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 96, train_steps: 3840
+Global Step 95: training: 100%|██████████| 2/2 [07:02<00:00, 211.06s/it]10, 10.33s/it]
+2026-06-20 00:01:10.348 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 96	train_steps 3840	{'step': '96/10000', 'learning_rate': '0.00001000', 'loss': '-2.049e-08', 'grad_norm': '0.01109382', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.15576172', 'grpo_loop_time': '422.12164307', 'ref_model_time': '114.81532288', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86951607', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10254725', 'token_credit_video_advantage_mean': '7.451e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.416e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.049e-08', 'kl_loss': '0.00810366', 'kl_moving': '0.00810366', 'kl_stepwise': '-1.889e-08', 'gathered_avg_reward_mean': '-0.10254725', 'gathered_avg_reward_std': '0.10605605', 'gathered_vlm_logprob_reward_mean': '-0.10254725', 'gathered_vlm_logprob_reward_std': '0.10605606', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10254725', 'gathered_vlm_token_credit_reward_std': '0.10605606', 'gathered_vlm_yes_no_margin_reward_mean': '3.63867188', 'gathered_vlm_yes_no_margin_reward_std': '0.75474966', 'gathered_vlm_yes_ratio_reward_mean': '0.95937496', 'gathered_vlm_yes_ratio_reward_std': '0.08788975', 'gathered_ori_avg_reward_mean': '-0.10254725', 'gathered_ori_avg_reward_std': '0.10605606'}
+2026-06-20 00:01:10.475 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 00:01:10.555 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 00:01:10.571 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:01:10.633 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 00:02:17.183 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000096/group_0/index_8016_seed_1341_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 00:02:20.652 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:02:37.889 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:02:37.900 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:02:37.901 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 00:03:47.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000096/group_0/index_8016_seed_1342_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 00:03:51.869 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:04:09.534 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:04:11.783 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 00:04:11.864 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 00:04:12.838 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-06-20 00:06:07.927 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.84s (1.91min)
+2026-06-20 00:06:08.644 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 00:08:07.688 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 96: training:  50%|█████     | 1/2 [03:29<03:29, 209.42s/it]              2026-06-20 00:15:08.505 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 97, train_steps: 3880
+Global Step 96: training: 100%|██████████| 2/2 [07:00<00:00, 210.41s/it]10, 10.32s/it]
+2026-06-20 00:15:09.161 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 97	train_steps 3880	{'step': '97/10000', 'learning_rate': '0.00001000', 'loss': '1.523e-07', 'grad_norm': '0.00479057', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.12271118', 'grpo_loop_time': '420.81390381', 'ref_model_time': '114.84423828', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87528908', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06597310', 'token_credit_video_advantage_mean': '-9.267e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.484e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.523e-07', 'kl_loss': '0.00809943', 'kl_moving': '0.00809944', 'kl_stepwise': '-1.912e-08', 'gathered_avg_reward_mean': '-0.06597310', 'gathered_avg_reward_std': '0.05976613', 'gathered_vlm_logprob_reward_mean': '-0.06597310', 'gathered_vlm_logprob_reward_std': '0.05976613', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06597310', 'gathered_vlm_token_credit_reward_std': '0.05976613', 'gathered_vlm_yes_no_margin_reward_mean': '4.03320312', 'gathered_vlm_yes_no_margin_reward_std': '0.83479112', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.06597310', 'gathered_ori_avg_reward_std': '0.05976613'}
+2026-06-20 00:15:09.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 00:15:09.310 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 00:15:09.341 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:15:09.402 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 00:16:15.615 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000097/group_0/index_5950_seed_24152_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 00:16:19.470 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:16:37.690 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:16:37.701 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:16:37.702 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 00:17:47.445 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000097/group_0/index_5950_seed_24153_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 00:17:50.637 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:18:08.478 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:18:11.237 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 00:18:11.311 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 00:18:12.372 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 49.00s/it]
+2026-06-20 00:20:07.670 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.20s (1.92min)
+2026-06-20 00:20:08.400 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 00:22:07.126 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 97: training:  50%|█████     | 1/2 [03:28<03:28, 208.39s/it]              2026-06-20 00:29:07.007 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 98, train_steps: 3920
+Global Step 97: training: 100%|██████████| 2/2 [06:59<00:00, 209.94s/it]10, 10.32s/it]
+2026-06-20 00:29:07.579 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 98	train_steps 3920	{'step': '98/10000', 'learning_rate': '0.00001000', 'loss': '1.143e-07', 'grad_norm': '0.00809846', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.12933350', 'grpo_loop_time': '419.88287354', 'ref_model_time': '115.20239258', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87929237', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09494161', 'token_credit_video_advantage_mean': '-6.938e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.387e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.143e-07', 'kl_loss': '0.00785412', 'kl_moving': '0.00785413', 'kl_stepwise': '-1.953e-08', 'gathered_avg_reward_mean': '-0.09494160', 'gathered_avg_reward_std': '0.09188081', 'gathered_vlm_logprob_reward_mean': '-0.09494160', 'gathered_vlm_logprob_reward_std': '0.09188081', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09494160', 'gathered_vlm_token_credit_reward_std': '0.09188081', 'gathered_vlm_yes_no_margin_reward_mean': '3.47578144', 'gathered_vlm_yes_no_margin_reward_std': '0.83420491', 'gathered_vlm_yes_ratio_reward_mean': '0.96562505', 'gathered_vlm_yes_ratio_reward_std': '0.07545436', 'gathered_ori_avg_reward_mean': '-0.09494160', 'gathered_ori_avg_reward_std': '0.09188081'}
+2026-06-20 00:29:07.691 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 00:29:07.773 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 00:29:07.799 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:29:07.860 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 00:30:14.045 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000098/group_0/index_6234_seed_10501_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 00:30:17.112 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:30:35.048 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:30:35.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:30:35.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.19s/it][01:03<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.19s/it]
+2026-06-20 00:31:46.190 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000098/group_0/index_6234_seed_10502_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 00:31:49.315 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:32:06.949 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:32:10.419 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 00:32:10.535 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 00:32:11.463 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.88s/it]
+2026-06-20 00:34:06.389 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.84s (1.91min)
+2026-06-20 00:34:07.117 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 00:36:03.851 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 98: training:  50%|█████     | 1/2 [03:29<03:29, 209.65s/it]              2026-06-20 00:43:05.346 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 99, train_steps: 3960
+Global Step 98: training: 100%|██████████| 2/2 [07:01<00:00, 210.74s/it]10, 10.34s/it]
+2026-06-20 00:43:05.957 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 99	train_steps 3960	{'step': '99/10000', 'learning_rate': '0.00001000', 'loss': '-2.794e-08', 'grad_norm': '0.00616764', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.37304688', 'grpo_loop_time': '421.48422241', 'ref_model_time': '114.83853912', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87729502', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06423490', 'token_credit_video_advantage_mean': '2.608e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.419e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.794e-08', 'kl_loss': '0.00806583', 'kl_moving': '0.00806583', 'kl_stepwise': '-1.952e-08', 'gathered_avg_reward_mean': '-0.06423490', 'gathered_avg_reward_std': '0.08234926', 'gathered_vlm_logprob_reward_mean': '-0.06423490', 'gathered_vlm_logprob_reward_std': '0.08234926', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06423490', 'gathered_vlm_token_credit_reward_std': '0.08234926', 'gathered_vlm_yes_no_margin_reward_mean': '3.93710947', 'gathered_vlm_yes_no_margin_reward_std': '0.81627721', 'gathered_vlm_yes_ratio_reward_mean': '0.98125005', 'gathered_vlm_yes_ratio_reward_std': '0.06817945', 'gathered_ori_avg_reward_mean': '-0.06423490', 'gathered_ori_avg_reward_std': '0.08234926'}
+2026-06-20 00:43:06.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 00:43:06.107 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 00:43:06.122 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:43:06.184 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 00:44:12.478 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000099/group_0/index_9805_seed_298_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 00:44:17.781 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:44:37.449 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:44:37.459 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:44:37.460 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-20 00:45:46.413 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000099/group_0/index_9805_seed_299_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 00:45:51.087 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 00:46:08.692 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 00:46:09.898 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 00:46:09.971 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 00:46:10.855 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.60s/it]
+2026-06-20 00:48:05.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.75s (1.91min)
+2026-06-20 00:48:06.440 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 00:50:03.399 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 99: training:  50%|█████     | 1/2 [03:29<03:29, 209.55s/it]              2026-06-20 00:57:04.806 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 100, train_steps: 4000
+Global Step 99: training: 100%|██████████| 2/2 [07:01<00:00, 210.69s/it]10, 10.34s/it]
+2026-06-20 00:57:05.437 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 100	train_steps 4000	{'step': '100/10000', 'learning_rate': '0.00001000', 'loss': '2.189e-08', 'grad_norm': '0.00584404', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '300.37017822', 'grpo_loop_time': '421.37631226', 'ref_model_time': '114.75397491', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85258347', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11398480', 'token_credit_video_advantage_mean': '-3.958e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.344e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.816e-08', 'kl_loss': '0.00844719', 'kl_moving': '0.00844719', 'kl_stepwise': '-1.926e-08', 'gathered_avg_reward_mean': '-0.11398480', 'gathered_avg_reward_std': '0.10147211', 'gathered_vlm_logprob_reward_mean': '-0.11398479', 'gathered_vlm_logprob_reward_std': '0.10147210', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11398479', 'gathered_vlm_token_credit_reward_std': '0.10147210', 'gathered_vlm_yes_no_margin_reward_mean': '3.52265620', 'gathered_vlm_yes_no_margin_reward_std': '0.92953616', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.08046496', 'gathered_ori_avg_reward_mean': '-0.11398479', 'gathered_ori_avg_reward_std': '0.10147210'}
+2026-06-20 00:58:12.262 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 100 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-100
+2026-06-20 00:58:47.793 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=100 (missing=0, unexpected=0)
+2026-06-20 00:58:49.577 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 00:58:49.697 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 00:58:49.791 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 00:58:49.918 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-20 00:59:57.445 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000100/group_0/index_2391_seed_20199_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 01:00:02.096 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:00:20.339 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:00:20.350 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:00:20.350 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-20 01:01:27.038 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000100/group_0/index_2391_seed_20200_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 01:01:30.693 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:01:47.992 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:01:50.303 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 01:01:50.377 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 01:01:51.363 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.02s/it]
+2026-06-20 01:03:44.712 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.35s (1.89min)
+2026-06-20 01:03:45.434 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 01:05:42.220 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 100: training:  50%|█████     | 1/2 [03:26<03:26, 206.12s/it]             2026-06-20 01:12:39.866 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 101, train_steps: 4040
+Global Step 100: training: 100%|██████████| 2/2 [06:57<00:00, 208.82s/it]0, 10.32s/it]
+2026-06-20 01:12:40.513 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 101	train_steps 4040	{'step': '101/10000', 'learning_rate': '0.00001000', 'loss': '2.095e-08', 'grad_norm': '0.00608623', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.81164551', 'grpo_loop_time': '417.64163208', 'ref_model_time': '113.34520721', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85848153', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09537879', 'token_credit_video_advantage_mean': '-6.286e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.412e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.095e-08', 'kl_loss': '0.00749213', 'kl_moving': '0.00749213', 'kl_stepwise': '-1.946e-08', 'gathered_avg_reward_mean': '-0.09537879', 'gathered_avg_reward_std': '0.08549841', 'gathered_vlm_logprob_reward_mean': '-0.09537879', 'gathered_vlm_logprob_reward_std': '0.08549841', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09537879', 'gathered_vlm_token_credit_reward_std': '0.08549841', 'gathered_vlm_yes_no_margin_reward_mean': '3.60976577', 'gathered_vlm_yes_no_margin_reward_std': '0.92589295', 'gathered_vlm_yes_ratio_reward_mean': '0.97187495', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.09537879', 'gathered_ori_avg_reward_std': '0.08549841'}
+2026-06-20 01:12:40.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 01:12:40.656 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 01:12:40.686 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:12:40.772 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-20 01:13:47.417 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000101/group_0/index_6886_seed_28497_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 01:13:52.729 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:14:10.354 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:14:10.363 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:14:10.364 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 01:15:20.135 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000101/group_0/index_6886_seed_28498_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 01:15:23.766 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:15:41.589 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:15:43.498 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 01:15:43.569 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 01:15:44.597 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-06-20 01:17:38.225 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.62s (1.89min)
+2026-06-20 01:17:38.931 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 01:19:38.325 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 101: training:  50%|█████     | 1/2 [03:28<03:28, 208.29s/it]             2026-06-20 01:26:37.807 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 102, train_steps: 4080
+Global Step 101: training: 100%|██████████| 2/2 [06:59<00:00, 209.74s/it]0, 10.32s/it]
+2026-06-20 01:26:38.447 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 102	train_steps 4080	{'step': '102/10000', 'learning_rate': '0.00001000', 'loss': '7.357e-08', 'grad_norm': '0.00650105', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.31753540', 'grpo_loop_time': '419.47573853', 'ref_model_time': '113.62374878', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84786808', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10233834', 'token_credit_video_advantage_mean': '-4.377e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.413e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.171e-08', 'kl_loss': '0.00803247', 'kl_moving': '0.00803247', 'kl_stepwise': '-1.933e-08', 'gathered_avg_reward_mean': '-0.10233834', 'gathered_avg_reward_std': '0.11006133', 'gathered_vlm_logprob_reward_mean': '-0.10233834', 'gathered_vlm_logprob_reward_std': '0.11006133', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10233834', 'gathered_vlm_token_credit_reward_std': '0.11006133', 'gathered_vlm_yes_no_margin_reward_mean': '3.61679697', 'gathered_vlm_yes_no_margin_reward_std': '0.74524605', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.09270248', 'gathered_ori_avg_reward_mean': '-0.10233834', 'gathered_ori_avg_reward_std': '0.11006133'}
+2026-06-20 01:26:38.503 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 01:26:38.592 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 01:26:38.608 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:26:38.686 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 01:27:44.861 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000102/group_0/index_6375_seed_22232_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 01:27:49.950 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:28:07.363 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:28:07.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:28:07.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.13s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.13s/it]
+2026-06-20 01:29:17.338 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000102/group_0/index_6375_seed_22233_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 01:29:22.062 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:29:39.657 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:29:41.182 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 01:29:41.218 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 01:29:42.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.58s/it]
+2026-06-20 01:31:36.383 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.79s (1.90min)
+2026-06-20 01:31:37.098 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 01:33:37.226 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 102: training:  50%|█████     | 1/2 [03:29<03:29, 209.45s/it]             2026-06-20 01:40:38.541 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 103, train_steps: 4120
+Global Step 102: training: 100%|██████████| 2/2 [07:01<00:00, 210.65s/it]0, 10.46s/it]
+2026-06-20 01:40:39.189 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 103	train_steps 4120	{'step': '103/10000', 'learning_rate': '0.00001000', 'loss': '1.146e-07', 'grad_norm': '0.01474224', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.54693604', 'grpo_loop_time': '421.30874634', 'ref_model_time': '113.79188538', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85752851', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08269662', 'token_credit_video_advantage_mean': '-6.938e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.422e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.127e-07', 'kl_loss': '0.00846396', 'kl_moving': '0.00846396', 'kl_stepwise': '-1.898e-08', 'gathered_avg_reward_mean': '-0.08269662', 'gathered_avg_reward_std': '0.10738561', 'gathered_vlm_logprob_reward_mean': '-0.08269662', 'gathered_vlm_logprob_reward_std': '0.10738561', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08269662', 'gathered_vlm_token_credit_reward_std': '0.10738561', 'gathered_vlm_yes_no_margin_reward_mean': '3.93359375', 'gathered_vlm_yes_no_margin_reward_std': '0.69373900', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.08269662', 'gathered_ori_avg_reward_std': '0.10738561'}
+2026-06-20 01:40:39.244 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 01:40:39.333 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 01:40:39.349 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:40:39.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 01:41:45.892 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000103/group_0/index_6280_seed_31269_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 01:41:49.375 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:42:06.939 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:42:06.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:42:06.947 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.25s/it][01:04<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.25s/it]
+2026-06-20 01:43:19.349 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000103/group_0/index_6280_seed_31270_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 01:43:24.415 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:43:42.073 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:43:43.333 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 01:43:43.388 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 01:43:44.306 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.54s/it]
+2026-06-20 01:45:37.767 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.37s (1.89min)
+2026-06-20 01:45:38.487 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 01:47:38.264 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 103: training:  50%|█████     | 1/2 [03:28<03:28, 208.13s/it]             2026-06-20 01:54:37.784 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 104, train_steps: 4160
+Global Step 103: training: 100%|██████████| 2/2 [06:59<00:00, 209.75s/it]0, 10.32s/it]
+2026-06-20 01:54:38.425 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 104	train_steps 4160	{'step': '104/10000', 'learning_rate': '0.00001000', 'loss': '8.941e-08', 'grad_norm': '0.00516403', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.19702148', 'grpo_loop_time': '419.51071167', 'ref_model_time': '113.37217712', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83012205', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08610321', 'token_credit_video_advantage_mean': '-5.029e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.410e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.941e-08', 'kl_loss': '0.00752005', 'kl_moving': '0.00752005', 'kl_stepwise': '-1.877e-08', 'gathered_avg_reward_mean': '-0.08610320', 'gathered_avg_reward_std': '0.11161921', 'gathered_vlm_logprob_reward_mean': '-0.08610321', 'gathered_vlm_logprob_reward_std': '0.11161920', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08610321', 'gathered_vlm_token_credit_reward_std': '0.11161920', 'gathered_vlm_yes_no_margin_reward_mean': '3.79218745', 'gathered_vlm_yes_no_margin_reward_std': '0.70837444', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829613', 'gathered_ori_avg_reward_mean': '-0.08610321', 'gathered_ori_avg_reward_std': '0.11161920'}
+2026-06-20 01:54:38.702 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 01:54:38.789 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 01:54:38.804 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:54:38.900 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 01:55:45.347 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000104/group_0/index_9442_seed_23321_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 01:55:49.203 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:56:06.801 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:56:06.811 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 01:56:06.812 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.24s/it][01:04<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.24s/it]
+2026-06-20 01:57:18.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000104/group_0/index_9442_seed_23322_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 01:57:22.125 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 01:57:39.777 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 01:57:42.889 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 01:57:42.963 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 01:57:43.955 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.00s/it]
+2026-06-20 01:59:37.314 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.35s (1.89min)
+2026-06-20 01:59:38.031 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 02:01:38.021 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 104: training:  50%|█████     | 1/2 [03:28<03:28, 208.57s/it]             2026-06-20 02:08:38.453 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 105, train_steps: 4200
+Global Step 104: training: 100%|██████████| 2/2 [07:00<00:00, 210.21s/it]0, 10.34s/it]
+2026-06-20 02:08:39.086 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 105	train_steps 4200	{'step': '105/10000', 'learning_rate': '0.00001000', 'loss': '-3.043e-07', 'grad_norm': '0.00617844', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.28097534', 'grpo_loop_time': '420.42581177', 'ref_model_time': '113.35475922', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86696666', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08849546', 'token_credit_video_advantage_mean': '1.835e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.459e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.043e-07', 'kl_loss': '0.00797080', 'kl_moving': '0.00797081', 'kl_stepwise': '-1.983e-08', 'gathered_avg_reward_mean': '-0.08849546', 'gathered_avg_reward_std': '0.08298559', 'gathered_vlm_logprob_reward_mean': '-0.08849546', 'gathered_vlm_logprob_reward_std': '0.08298558', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08849546', 'gathered_vlm_token_credit_reward_std': '0.08298558', 'gathered_vlm_yes_no_margin_reward_mean': '3.63554692', 'gathered_vlm_yes_no_margin_reward_std': '0.64215225', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829611', 'gathered_ori_avg_reward_mean': '-0.08849546', 'gathered_ori_avg_reward_std': '0.08298558'}
+2026-06-20 02:08:39.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 02:08:39.236 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 02:08:39.264 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:08:39.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 02:09:45.590 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000105/group_0/index_7083_seed_17328_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 02:09:50.671 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:10:08.237 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:10:08.246 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:10:08.247 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.17s/it][01:03<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.17s/it]
+2026-06-20 02:11:19.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000105/group_0/index_7083_seed_17329_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 02:11:24.078 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:11:41.538 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:11:43.945 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 02:11:44.035 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 02:11:44.891 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.37s/it]
+2026-06-20 02:13:38.216 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.22s (1.89min)
+2026-06-20 02:13:38.925 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 02:15:38.267 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 105: training:  50%|█████     | 1/2 [03:28<03:28, 208.19s/it]             2026-06-20 02:22:37.840 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 106, train_steps: 4240
+Global Step 105: training: 100%|██████████| 2/2 [06:59<00:00, 209.78s/it]0, 10.31s/it]
+2026-06-20 02:22:38.506 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 106	train_steps 4240	{'step': '106/10000', 'learning_rate': '0.00001000', 'loss': '1.816e-08', 'grad_norm': '0.00917514', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.73117065', 'grpo_loop_time': '419.56759644', 'ref_model_time': '113.21910095', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89842999', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07679021', 'token_credit_video_advantage_mean': '-1.583e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.409e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.816e-08', 'kl_loss': '0.00842005', 'kl_moving': '0.00842005', 'kl_stepwise': '-2.009e-08', 'gathered_avg_reward_mean': '-0.07679021', 'gathered_avg_reward_std': '0.08331750', 'gathered_vlm_logprob_reward_mean': '-0.07679021', 'gathered_vlm_logprob_reward_std': '0.08331750', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07679021', 'gathered_vlm_token_credit_reward_std': '0.08331750', 'gathered_vlm_yes_no_margin_reward_mean': '3.81796885', 'gathered_vlm_yes_no_margin_reward_std': '0.99912536', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07679021', 'gathered_ori_avg_reward_std': '0.08331750'}
+2026-06-20 02:22:38.563 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 02:22:38.651 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 02:22:38.666 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:22:38.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 02:23:45.036 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000106/group_0/index_6976_seed_24611_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 02:23:49.758 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:24:06.997 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:24:07.005 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:24:07.006 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 02:25:16.864 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000106/group_0/index_6976_seed_24612_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 02:25:20.703 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:25:38.669 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:25:40.846 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 02:25:40.957 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 02:25:41.926 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-20 02:27:35.879 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.90s (1.90min)
+2026-06-20 02:27:36.583 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 02:29:36.813 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 106: training:  50%|█████     | 1/2 [03:29<03:29, 209.03s/it]             2026-06-20 02:36:37.087 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 107, train_steps: 4280
+Global Step 106: training: 100%|██████████| 2/2 [07:00<00:00, 210.14s/it]0, 10.31s/it]
+2026-06-20 02:36:37.748 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 107	train_steps 4280	{'step': '107/10000', 'learning_rate': '0.00001000', 'loss': '-5.448e-08', 'grad_norm': '0.00644206', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.97155762', 'grpo_loop_time': '420.27691650', 'ref_model_time': '113.89937592', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88519669', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11505815', 'token_credit_video_advantage_mean': '3.586e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.514e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.448e-08', 'kl_loss': '0.00795422', 'kl_moving': '0.00795422', 'kl_stepwise': '-1.959e-08', 'gathered_avg_reward_mean': '-0.11505815', 'gathered_avg_reward_std': '0.12131647', 'gathered_vlm_logprob_reward_mean': '-0.11505815', 'gathered_vlm_logprob_reward_std': '0.12131647', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11505815', 'gathered_vlm_token_credit_reward_std': '0.12131647', 'gathered_vlm_yes_no_margin_reward_mean': '3.47343731', 'gathered_vlm_yes_no_margin_reward_std': '0.85188073', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.08076780', 'gathered_ori_avg_reward_mean': '-0.11505815', 'gathered_ori_avg_reward_std': '0.12131647'}
+2026-06-20 02:36:37.801 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 02:36:37.889 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 02:36:37.904 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:36:38.000 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 02:37:44.178 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000107/group_0/index_6620_seed_1567_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 02:37:49.293 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:38:06.806 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:38:06.816 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:38:06.816 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-20 02:39:15.296 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000107/group_0/index_6620_seed_1568_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 02:39:20.446 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:39:38.143 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:39:39.229 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 02:39:39.291 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 02:39:40.463 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.72s/it]
+2026-06-20 02:41:35.347 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.84s (1.91min)
+2026-06-20 02:41:36.072 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 02:43:35.146 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 107: training:  50%|█████     | 1/2 [03:28<03:28, 208.01s/it]             2026-06-20 02:50:35.004 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 108, train_steps: 4320
+Global Step 107: training: 100%|██████████| 2/2 [06:59<00:00, 209.92s/it]0, 10.34s/it]
+2026-06-20 02:50:35.672 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 108	train_steps 4320	{'step': '108/10000', 'learning_rate': '0.00001000', 'loss': '-9.127e-08', 'grad_norm': '0.00596231', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.22424316', 'grpo_loop_time': '419.84954834', 'ref_model_time': '114.84239960', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87110239', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11765405', 'token_credit_video_advantage_mean': '4.563e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.420e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.127e-08', 'kl_loss': '0.00832817', 'kl_moving': '0.00832818', 'kl_stepwise': '-1.975e-08', 'gathered_avg_reward_mean': '-0.11765405', 'gathered_avg_reward_std': '0.17886721', 'gathered_vlm_logprob_reward_mean': '-0.11765406', 'gathered_vlm_logprob_reward_std': '0.17886721', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11765406', 'gathered_vlm_token_credit_reward_std': '0.17886721', 'gathered_vlm_yes_no_margin_reward_mean': '3.69179678', 'gathered_vlm_yes_no_margin_reward_std': '1.07109630', 'gathered_vlm_yes_ratio_reward_mean': '0.94999999', 'gathered_vlm_yes_ratio_reward_std': '0.11726039', 'gathered_ori_avg_reward_mean': '-0.11765406', 'gathered_ori_avg_reward_std': '0.17886721'}
+2026-06-20 02:50:35.726 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 02:50:35.815 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 02:50:35.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:50:35.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 02:51:42.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000108/group_0/index_3393_seed_27727_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 02:51:45.820 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:52:03.264 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:52:03.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 02:52:03.275 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.13s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.13s/it]
+2026-06-20 02:53:13.242 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000108/group_0/index_3393_seed_27728_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 02:53:18.498 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 02:53:37.474 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 02:53:37.573 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 02:53:37.585 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 02:53:38.521 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.60s/it]
+2026-06-20 02:55:33.256 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.45s (1.91min)
+2026-06-20 02:55:33.972 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 02:57:30.648 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 108: training:  50%|█████     | 1/2 [03:28<03:28, 208.00s/it]             2026-06-20 03:04:30.701 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 109, train_steps: 4360
+Global Step 108: training: 100%|██████████| 2/2 [07:00<00:00, 210.02s/it]0, 10.35s/it]
+2026-06-20 03:04:31.346 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 109	train_steps 4360	{'step': '109/10000', 'learning_rate': '0.00001000', 'loss': '9.034e-08', 'grad_norm': '0.00821078', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.19848633', 'grpo_loop_time': '420.04431152', 'ref_model_time': '114.45250702', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89900655', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09410279', 'token_credit_video_advantage_mean': '-4.005e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.432e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.941e-08', 'kl_loss': '0.00897935', 'kl_moving': '0.00897935', 'kl_stepwise': '-1.984e-08', 'gathered_avg_reward_mean': '-0.09410278', 'gathered_avg_reward_std': '0.10032683', 'gathered_vlm_logprob_reward_mean': '-0.09410278', 'gathered_vlm_logprob_reward_std': '0.10032684', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09410278', 'gathered_vlm_token_credit_reward_std': '0.10032684', 'gathered_vlm_yes_no_margin_reward_mean': '3.77851582', 'gathered_vlm_yes_no_margin_reward_std': '0.72009200', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.07806247', 'gathered_ori_avg_reward_mean': '-0.09410278', 'gathered_ori_avg_reward_std': '0.10032684'}
+2026-06-20 03:04:31.405 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 03:04:31.491 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 03:04:31.507 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:04:31.584 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 03:05:37.574 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000109/group_0/index_8829_seed_14580_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 03:05:41.117 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:05:58.341 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:05:58.352 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:05:58.352 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.20s/it][01:03<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.20s/it]
+2026-06-20 03:07:09.752 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000109/group_0/index_8829_seed_14581_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 03:07:14.820 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:07:32.173 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:07:33.406 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 03:07:33.454 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 03:07:34.309 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.51s/it]
+2026-06-20 03:09:29.292 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.83s (1.91min)
+2026-06-20 03:09:30.014 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 03:11:26.575 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 109: training:  50%|█████     | 1/2 [03:27<03:27, 207.38s/it]             2026-06-20 03:18:25.325 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 110, train_steps: 4400
+Global Step 109: training: 100%|██████████| 2/2 [06:58<00:00, 209.37s/it]0, 10.32s/it]
+2026-06-20 03:18:25.981 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 110	train_steps 4400	{'step': '110/10000', 'learning_rate': '0.00001000', 'loss': '-3.108e-08', 'grad_norm': '0.00729087', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.55563354', 'grpo_loop_time': '418.74972534', 'ref_model_time': '114.82951355', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86405993', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07882749', 'token_credit_video_advantage_mean': '1.537e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.475e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.481e-08', 'kl_loss': '0.00860169', 'kl_moving': '0.00860170', 'kl_stepwise': '-1.967e-08', 'gathered_avg_reward_mean': '-0.07882749', 'gathered_avg_reward_std': '0.10195471', 'gathered_vlm_logprob_reward_mean': '-0.07882749', 'gathered_vlm_logprob_reward_std': '0.10195470', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07882749', 'gathered_vlm_token_credit_reward_std': '0.10195470', 'gathered_vlm_yes_no_margin_reward_mean': '3.75976562', 'gathered_vlm_yes_no_margin_reward_std': '0.74008566', 'gathered_vlm_yes_ratio_reward_mean': '0.98749995', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.07882749', 'gathered_ori_avg_reward_std': '0.10195470'}
+2026-06-20 03:19:01.160 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=110 (missing=0, unexpected=0)
+2026-06-20 03:19:03.284 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 03:19:03.387 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 03:19:03.455 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:19:03.558 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  3.00s/it][00:59<00:00,  2.92s/it]
+100%|██████████| 20/20 [00:59<00:00,  3.00s/it]
+2026-06-20 03:20:11.861 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000110/group_0/index_1911_seed_6899_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 03:20:15.529 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:20:32.351 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:20:32.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:20:32.363 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.18s/it][01:03<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.18s/it]
+2026-06-20 03:21:43.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000110/group_0/index_1911_seed_6900_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 03:21:46.677 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:22:03.610 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:22:07.523 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 03:22:07.601 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 03:22:08.554 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.51s/it]
+2026-06-20 03:24:03.966 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.41s (1.92min)
+2026-06-20 03:24:04.690 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 03:26:02.473 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 110: training:  50%|█████     | 1/2 [03:30<03:30, 210.86s/it]             2026-06-20 03:33:05.392 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 111, train_steps: 4440
+Global Step 110: training: 100%|██████████| 2/2 [07:02<00:00, 211.46s/it]0, 10.43s/it]
+2026-06-20 03:33:05.955 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 111	train_steps 4440	{'step': '111/10000', 'learning_rate': '0.00001000', 'loss': '5.402e-08', 'grad_norm': '0.00931171', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '301.36087036', 'grpo_loop_time': '422.91732788', 'ref_model_time': '115.40819550', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88042665', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10257237', 'token_credit_video_advantage_mean': '-3.353e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.440e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.215e-08', 'kl_loss': '0.00838115', 'kl_moving': '0.00838116', 'kl_stepwise': '-1.932e-08', 'gathered_avg_reward_mean': '-0.10257237', 'gathered_avg_reward_std': '0.08536735', 'gathered_vlm_logprob_reward_mean': '-0.10257237', 'gathered_vlm_logprob_reward_std': '0.08536734', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10257237', 'gathered_vlm_token_credit_reward_std': '0.08536734', 'gathered_vlm_yes_no_margin_reward_mean': '3.41132784', 'gathered_vlm_yes_no_margin_reward_std': '0.81979811', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.10257237', 'gathered_ori_avg_reward_std': '0.08536734'}
+2026-06-20 03:33:06.072 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 03:33:06.152 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 03:33:06.170 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:33:06.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 03:34:12.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000111/group_0/index_1325_seed_9876_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 03:34:17.510 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:34:37.248 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:34:37.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:34:37.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.10s/it][01:02<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.10s/it]
+2026-06-20 03:35:46.784 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000111/group_0/index_1325_seed_9877_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 03:35:51.580 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:36:08.970 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:36:10.098 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 03:36:10.136 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 03:36:11.017 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.92s/it]
+2026-06-20 03:38:06.020 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.84s (1.91min)
+2026-06-20 03:38:06.732 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 03:40:04.482 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 111: training:  50%|█████     | 1/2 [03:28<03:28, 208.66s/it]             2026-06-20 03:47:04.311 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 112, train_steps: 4480
+Global Step 111: training: 100%|██████████| 2/2 [06:59<00:00, 209.90s/it]0, 10.30s/it]
+2026-06-20 03:47:04.886 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 112	train_steps 4480	{'step': '112/10000', 'learning_rate': '0.00001000', 'loss': '1.431e-07', 'grad_norm': '0.00690983', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '300.61383057', 'grpo_loop_time': '419.81027222', 'ref_model_time': '114.83584595', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86599278', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.13388565', 'token_credit_video_advantage_mean': '-8.818e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.445e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.431e-07', 'kl_loss': '0.00717473', 'kl_moving': '0.00717473', 'kl_stepwise': '-1.990e-08', 'gathered_avg_reward_mean': '-0.13388565', 'gathered_avg_reward_std': '0.13129298', 'gathered_vlm_logprob_reward_mean': '-0.13388565', 'gathered_vlm_logprob_reward_std': '0.13129298', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.13388565', 'gathered_vlm_token_credit_reward_std': '0.13129298', 'gathered_vlm_yes_no_margin_reward_mean': '3.51992178', 'gathered_vlm_yes_no_margin_reward_std': '0.72755706', 'gathered_vlm_yes_ratio_reward_mean': '0.93750000', 'gathered_vlm_yes_ratio_reward_std': '0.10532687', 'gathered_ori_avg_reward_mean': '-0.13388565', 'gathered_ori_avg_reward_std': '0.13129298'}
+2026-06-20 03:47:05.043 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 03:47:05.122 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 03:47:05.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:47:05.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 03:48:11.305 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000112/group_0/index_3774_seed_17673_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 03:48:15.068 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:48:32.319 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:48:32.330 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 03:48:32.332 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-20 03:49:41.029 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000112/group_0/index_3774_seed_17674_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 03:49:43.996 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 03:50:01.710 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 03:50:04.983 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 03:50:05.007 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 03:50:06.172 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 03:52:00.943 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.63s (1.91min)
+2026-06-20 03:52:01.657 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 03:54:00.963 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 112: training:  50%|█████     | 1/2 [03:31<03:31, 211.44s/it]             2026-06-20 04:01:04.005 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 113, train_steps: 4520
+Global Step 112: training: 100%|██████████| 2/2 [07:03<00:00, 211.61s/it]0, 10.31s/it]
+2026-06-20 04:01:04.766 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 113	train_steps 4520	{'step': '113/10000', 'learning_rate': '0.00001000', 'loss': '-2.841e-08', 'grad_norm': '0.00843925', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.56872559', 'grpo_loop_time': '423.22479248', 'ref_model_time': '114.62544250', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87232679', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08394595', 'token_credit_video_advantage_mean': '1.583e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.500e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.841e-08', 'kl_loss': '0.00792039', 'kl_moving': '0.00792039', 'kl_stepwise': '-1.910e-08', 'gathered_avg_reward_mean': '-0.08394595', 'gathered_avg_reward_std': '0.08792681', 'gathered_vlm_logprob_reward_mean': '-0.08394595', 'gathered_vlm_logprob_reward_std': '0.08792681', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08394595', 'gathered_vlm_token_credit_reward_std': '0.08792681', 'gathered_vlm_yes_no_margin_reward_mean': '3.45585942', 'gathered_vlm_yes_no_margin_reward_std': '0.58280611', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.08394595', 'gathered_ori_avg_reward_std': '0.08792681'}
+2026-06-20 04:01:04.874 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 04:01:04.954 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 04:01:04.987 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:01:05.048 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 04:02:11.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000113/group_0/index_8651_seed_3481_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 04:02:16.082 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:02:33.288 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:02:33.297 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:02:33.298 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-20 04:03:42.313 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000113/group_0/index_8651_seed_3482_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 04:03:47.113 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:04:04.443 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:04:06.611 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 04:04:06.705 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 04:04:07.513 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-20 04:06:02.814 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.15s (1.92min)
+2026-06-20 04:06:03.532 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 04:08:01.582 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 113: training:  50%|█████     | 1/2 [03:30<03:30, 210.80s/it]             2026-06-20 04:15:03.777 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 114, train_steps: 4560
+Global Step 113: training: 100%|██████████| 2/2 [07:02<00:00, 211.10s/it]0, 10.31s/it]
+2026-06-20 04:15:04.361 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 114	train_steps 4560	{'step': '114/10000', 'learning_rate': '0.00001000', 'loss': '-1.120e-07', 'grad_norm': '0.00892634', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.60983276', 'grpo_loop_time': '422.20138550', 'ref_model_time': '115.15032196', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85033923', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08880606', 'token_credit_video_advantage_mean': '5.960e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.512e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.120e-07', 'kl_loss': '0.00792055', 'kl_moving': '0.00792056', 'kl_stepwise': '-2.006e-08', 'gathered_avg_reward_mean': '-0.08880606', 'gathered_avg_reward_std': '0.10016205', 'gathered_vlm_logprob_reward_mean': '-0.08880606', 'gathered_vlm_logprob_reward_std': '0.10016205', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08880606', 'gathered_vlm_token_credit_reward_std': '0.10016205', 'gathered_vlm_yes_no_margin_reward_mean': '3.65781260', 'gathered_vlm_yes_no_margin_reward_std': '0.86226076', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.08880606', 'gathered_ori_avg_reward_std': '0.10016205'}
+2026-06-20 04:15:04.473 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 04:15:04.553 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 04:15:04.573 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:15:04.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 04:16:10.881 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000114/group_0/index_3140_seed_9372_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 04:16:15.608 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:16:34.314 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:16:34.323 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:16:34.324 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-20 04:17:40.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000114/group_0/index_3140_seed_9373_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 04:17:44.279 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:18:02.967 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:18:04.152 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 04:18:04.187 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 04:18:05.386 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.93s/it]
+2026-06-20 04:20:00.179 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.72s (1.91min)
+2026-06-20 04:20:00.895 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 04:22:00.101 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 114: training:  50%|█████     | 1/2 [03:29<03:29, 209.94s/it]             2026-06-20 04:29:01.478 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 115, train_steps: 4600
+Global Step 114: training: 100%|██████████| 2/2 [07:01<00:00, 210.68s/it]0, 10.32s/it]
+2026-06-20 04:29:02.145 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 115	train_steps 4600	{'step': '115/10000', 'learning_rate': '0.00001000', 'loss': '6.822e-08', 'grad_norm': '0.00691526', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.37500000', 'grpo_loop_time': '421.36605835', 'ref_model_time': '114.72215271', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86367947', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11490346', 'token_credit_video_advantage_mean': '-3.166e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.434e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.822e-08', 'kl_loss': '0.00793762', 'kl_moving': '0.00793762', 'kl_stepwise': '-2.000e-08', 'gathered_avg_reward_mean': '-0.11490346', 'gathered_avg_reward_std': '0.11718733', 'gathered_vlm_logprob_reward_mean': '-0.11490346', 'gathered_vlm_logprob_reward_std': '0.11718733', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11490346', 'gathered_vlm_token_credit_reward_std': '0.11718733', 'gathered_vlm_yes_no_margin_reward_mean': '3.57148457', 'gathered_vlm_yes_no_margin_reward_std': '0.94529951', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.11490346', 'gathered_ori_avg_reward_std': '0.11718733'}
+2026-06-20 04:29:02.191 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 04:29:02.282 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 04:29:02.338 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:29:02.382 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 04:30:08.547 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000115/group_0/index_9465_seed_28033_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 04:30:11.922 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:30:29.469 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:30:29.479 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:30:29.480 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.11s/it][01:02<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.11s/it]
+2026-06-20 04:31:39.102 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000115/group_0/index_9465_seed_28034_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 04:31:44.418 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:32:02.347 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:32:02.494 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 04:32:02.530 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 04:32:03.446 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 04:33:58.059 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.33s (1.91min)
+2026-06-20 04:33:58.775 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 04:35:55.624 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 115: training:  50%|█████     | 1/2 [03:29<03:29, 209.48s/it]             2026-06-20 04:42:56.465 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 116, train_steps: 4640
+Global Step 115: training: 100%|██████████| 2/2 [07:00<00:00, 210.42s/it]0, 10.32s/it]
+2026-06-20 04:42:57.107 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 116	train_steps 4640	{'step': '116/10000', 'learning_rate': '0.00001000', 'loss': '9.686e-08', 'grad_norm': '0.00782886', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.53717041', 'grpo_loop_time': '420.83615112', 'ref_model_time': '114.32853699', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85206878', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10176795', 'token_credit_video_advantage_mean': '-5.402e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.469e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.686e-08', 'kl_loss': '0.00888940', 'kl_moving': '0.00888940', 'kl_stepwise': '-2.003e-08', 'gathered_avg_reward_mean': '-0.10176794', 'gathered_avg_reward_std': '0.09921156', 'gathered_vlm_logprob_reward_mean': '-0.10176794', 'gathered_vlm_logprob_reward_std': '0.09921155', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10176794', 'gathered_vlm_token_credit_reward_std': '0.09921155', 'gathered_vlm_yes_no_margin_reward_mean': '3.71054697', 'gathered_vlm_yes_no_margin_reward_std': '0.80135149', 'gathered_vlm_yes_ratio_reward_mean': '0.96562505', 'gathered_vlm_yes_ratio_reward_std': '0.08332682', 'gathered_ori_avg_reward_mean': '-0.10176794', 'gathered_ori_avg_reward_std': '0.09921155'}
+2026-06-20 04:42:57.158 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 04:42:57.245 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 04:42:57.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:42:57.361 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 04:44:03.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000116/group_0/index_6284_seed_23811_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 04:44:07.465 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:44:24.965 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:44:24.975 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:44:24.976 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-20 04:45:34.213 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000116/group_0/index_6284_seed_23812_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 04:45:37.538 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:45:55.241 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:45:58.380 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 04:45:58.482 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 04:45:59.434 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-20 04:47:53.698 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.25s (1.90min)
+2026-06-20 04:47:54.407 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 04:49:50.890 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 116: training:  50%|█████     | 1/2 [03:27<03:27, 207.81s/it]             2026-06-20 04:56:50.234 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 117, train_steps: 4680
+Global Step 116: training: 100%|██████████| 2/2 [06:59<00:00, 209.67s/it]0, 10.32s/it]
+2026-06-20 04:56:50.902 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 117	train_steps 4680	{'step': '117/10000', 'learning_rate': '0.00001000', 'loss': '-3.912e-08', 'grad_norm': '0.01108392', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.20263672', 'grpo_loop_time': '419.34976196', 'ref_model_time': '114.25028229', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86597186', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12131758', 'token_credit_video_advantage_mean': '2.328e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.452e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.912e-08', 'kl_loss': '0.00887887', 'kl_moving': '0.00887887', 'kl_stepwise': '-1.937e-08', 'gathered_avg_reward_mean': '-0.12131758', 'gathered_avg_reward_std': '0.10883923', 'gathered_vlm_logprob_reward_mean': '-0.12131758', 'gathered_vlm_logprob_reward_std': '0.10883923', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12131758', 'gathered_vlm_token_credit_reward_std': '0.10883923', 'gathered_vlm_yes_no_margin_reward_mean': '3.50390625', 'gathered_vlm_yes_no_margin_reward_std': '0.75031531', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.08833309', 'gathered_ori_avg_reward_mean': '-0.12131758', 'gathered_ori_avg_reward_std': '0.10883923'}
+2026-06-20 04:56:50.952 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 04:56:51.043 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 04:56:51.084 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:56:51.160 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 04:57:57.365 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000117/group_0/index_9434_seed_29584_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 04:58:02.572 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:58:20.402 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:58:20.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 04:58:20.409 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-20 04:59:28.505 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000117/group_0/index_9434_seed_29585_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 04:59:33.258 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 04:59:51.201 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 04:59:51.797 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 04:59:51.888 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 04:59:52.745 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.37s/it]
+2026-06-20 05:01:46.349 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.49s (1.89min)
+2026-06-20 05:01:47.078 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 05:03:44.150 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 117: training:  50%|█████     | 1/2 [03:26<03:26, 206.83s/it]             2026-06-20 05:10:42.583 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 118, train_steps: 4720
+Global Step 117: training: 100%|██████████| 2/2 [06:58<00:00, 209.22s/it]0, 10.31s/it]
+2026-06-20 05:10:43.216 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 118	train_steps 4720	{'step': '118/10000', 'learning_rate': '0.00001000', 'loss': '1.187e-08', 'grad_norm': '0.00682984', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.07965088', 'grpo_loop_time': '418.44097900', 'ref_model_time': '113.49458313', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88580871', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07336283', 'token_credit_video_advantage_mean': '8.382e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.378e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.286e-09', 'kl_loss': '0.00905501', 'kl_moving': '0.00905501', 'kl_stepwise': '-1.898e-08', 'gathered_avg_reward_mean': '-0.07336282', 'gathered_avg_reward_std': '0.07151139', 'gathered_vlm_logprob_reward_mean': '-0.07336283', 'gathered_vlm_logprob_reward_std': '0.07151138', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07336283', 'gathered_vlm_token_credit_reward_std': '0.07151138', 'gathered_vlm_yes_no_margin_reward_mean': '3.86718750', 'gathered_vlm_yes_no_margin_reward_std': '0.89231610', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07336283', 'gathered_ori_avg_reward_std': '0.07151138'}
+2026-06-20 05:10:43.295 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 05:10:43.375 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 05:10:43.391 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:10:43.469 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 05:11:50.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000118/group_0/index_5926_seed_8388_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 05:11:54.845 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:12:12.467 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:12:12.476 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:12:12.476 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.16s/it][01:03<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.16s/it]
+2026-06-20 05:13:23.020 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000118/group_0/index_5926_seed_8389_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 05:13:26.821 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:13:44.608 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:13:46.957 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 05:13:47.104 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 05:13:48.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.75s/it]
+2026-06-20 05:15:41.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.26s (1.89min)
+2026-06-20 05:15:42.001 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 05:17:38.996 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 118: training:  50%|█████     | 1/2 [03:27<03:27, 207.35s/it]             2026-06-20 05:24:37.904 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 119, train_steps: 4760
+Global Step 118: training: 100%|██████████| 2/2 [06:58<00:00, 209.45s/it]0, 10.32s/it]
+2026-06-20 05:24:38.563 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 119	train_steps 4760	{'step': '119/10000', 'learning_rate': '0.00001000', 'loss': '2.608e-08', 'grad_norm': '0.00728592', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.65847778', 'grpo_loop_time': '418.90258789', 'ref_model_time': '113.25683594', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84163308', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08377616', 'token_credit_video_advantage_mean': '-2.002e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.436e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.608e-08', 'kl_loss': '0.00934429', 'kl_moving': '0.00934429', 'kl_stepwise': '-1.882e-08', 'gathered_avg_reward_mean': '-0.08377616', 'gathered_avg_reward_std': '0.08043797', 'gathered_vlm_logprob_reward_mean': '-0.08377616', 'gathered_vlm_logprob_reward_std': '0.08043797', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08377616', 'gathered_vlm_token_credit_reward_std': '0.08043797', 'gathered_vlm_yes_no_margin_reward_mean': '3.74843764', 'gathered_vlm_yes_no_margin_reward_std': '1.01499391', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08377616', 'gathered_ori_avg_reward_std': '0.08043797'}
+2026-06-20 05:24:38.622 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 05:24:38.711 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 05:24:38.746 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:24:38.793 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 05:25:45.071 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000119/group_0/index_4438_seed_5525_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 05:25:50.208 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:26:08.028 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:26:08.037 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:26:08.037 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-20 05:27:15.345 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000119/group_0/index_4438_seed_5526_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 05:27:19.699 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:27:37.501 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:27:40.119 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 05:27:40.232 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 05:27:41.333 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.83s/it]
+2026-06-20 05:29:34.853 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.52s (1.89min)
+2026-06-20 05:29:35.560 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 05:31:33.106 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 119: training:  50%|█████     | 1/2 [03:27<03:27, 207.47s/it]             2026-06-20 05:38:32.154 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 120, train_steps: 4800
+Global Step 119: training: 100%|██████████| 2/2 [06:59<00:00, 209.52s/it]0, 10.32s/it]
+2026-06-20 05:38:32.807 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 120	train_steps 4800	{'step': '120/10000', 'learning_rate': '0.00001000', 'loss': '-6.240e-08', 'grad_norm': '0.01575158', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.89138794', 'grpo_loop_time': '419.03482056', 'ref_model_time': '113.51821899', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84919286', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08457743', 'token_credit_video_advantage_mean': '5.495e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.510e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-6.240e-08', 'kl_loss': '0.00788482', 'kl_moving': '0.00788483', 'kl_stepwise': '-1.984e-08', 'gathered_avg_reward_mean': '-0.08457744', 'gathered_avg_reward_std': '0.08019870', 'gathered_vlm_logprob_reward_mean': '-0.08457743', 'gathered_vlm_logprob_reward_std': '0.08019870', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08457743', 'gathered_vlm_token_credit_reward_std': '0.08019870', 'gathered_vlm_yes_no_margin_reward_mean': '3.96992207', 'gathered_vlm_yes_no_margin_reward_std': '1.04828894', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08457743', 'gathered_ori_avg_reward_std': '0.08019870'}
+2026-06-20 05:39:09.078 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=120 (missing=0, unexpected=0)
+2026-06-20 05:39:10.882 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 05:39:11.046 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 05:39:11.125 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:39:11.229 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-20 05:40:19.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000120/group_0/index_2546_seed_31193_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 05:40:24.658 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:40:42.084 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:40:42.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:40:42.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.95s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-20 05:41:48.730 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000120/group_0/index_2546_seed_31194_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 05:41:52.335 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:42:10.160 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:42:12.566 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 05:42:12.668 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 05:42:13.616 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:39<00:00, 49.98s/it]
+2026-06-20 05:44:08.716 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.96s (1.92min)
+2026-06-20 05:44:09.426 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 05:46:10.088 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 120: training:  50%|█████     | 1/2 [03:30<03:30, 210.08s/it]             2026-06-20 05:53:12.060 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 121, train_steps: 4840
+Global Step 120: training: 100%|██████████| 2/2 [07:01<00:00, 210.97s/it]0, 10.32s/it]
+2026-06-20 05:53:12.630 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 121	train_steps 4840	{'step': '121/10000', 'learning_rate': '0.00001000', 'loss': '-1.304e-08', 'grad_norm': '0.00510983', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.49902344', 'grpo_loop_time': '421.95257568', 'ref_model_time': '114.96196747', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87099940', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08657575', 'token_credit_video_advantage_mean': '2.142e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.468e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.304e-08', 'kl_loss': '0.00737234', 'kl_moving': '0.00737234', 'kl_stepwise': '-1.985e-08', 'gathered_avg_reward_mean': '-0.08657574', 'gathered_avg_reward_std': '0.09943678', 'gathered_vlm_logprob_reward_mean': '-0.08657574', 'gathered_vlm_logprob_reward_std': '0.09943678', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08657574', 'gathered_vlm_token_credit_reward_std': '0.09943678', 'gathered_vlm_yes_no_margin_reward_mean': '3.77851558', 'gathered_vlm_yes_no_margin_reward_std': '0.89424008', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.08657574', 'gathered_ori_avg_reward_std': '0.09943678'}
+2026-06-20 05:53:12.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 05:53:12.859 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 05:53:12.880 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:53:12.925 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-20 05:54:19.574 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000121/group_0/index_8306_seed_11615_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 05:54:24.872 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:54:42.498 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:54:42.508 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 05:54:42.508 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-20 05:55:48.464 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000121/group_0/index_8306_seed_11616_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 05:55:53.130 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 05:56:10.865 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 05:56:13.155 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 05:56:13.242 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 05:56:14.148 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-06-20 05:58:09.348 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.97s (1.92min)
+2026-06-20 05:58:10.076 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 06:00:10.576 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 121: training:  50%|█████     | 1/2 [03:29<03:29, 209.82s/it]             2026-06-20 06:07:11.954 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 122, train_steps: 4880
+Global Step 121: training: 100%|██████████| 2/2 [07:01<00:00, 210.69s/it]0, 10.31s/it]
+2026-06-20 06:07:12.536 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 122	train_steps 4880	{'step': '122/10000', 'learning_rate': '0.00001000', 'loss': '-1.676e-08', 'grad_norm': '0.00747782', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.25378418', 'grpo_loop_time': '421.38043213', 'ref_model_time': '114.96661377', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86595821', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05269318', 'token_credit_video_advantage_mean': '1.211e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.386e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.863e-08', 'kl_loss': '0.00759360', 'kl_moving': '0.00759361', 'kl_stepwise': '-1.948e-08', 'gathered_avg_reward_mean': '-0.05269318', 'gathered_avg_reward_std': '0.03626797', 'gathered_vlm_logprob_reward_mean': '-0.05269318', 'gathered_vlm_logprob_reward_std': '0.03626797', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05269318', 'gathered_vlm_token_credit_reward_std': '0.03626797', 'gathered_vlm_yes_no_margin_reward_mean': '3.88828111', 'gathered_vlm_yes_no_margin_reward_std': '0.78071189', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.05269318', 'gathered_ori_avg_reward_std': '0.03626797'}
+2026-06-20 06:07:12.647 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 06:07:12.754 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 06:07:12.818 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:07:12.936 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 06:08:18.802 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000122/group_0/index_6626_seed_32833_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 06:08:22.631 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:08:40.135 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:08:40.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:08:40.146 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.07s/it][01:01<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.07s/it]
+2026-06-20 06:09:48.849 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000122/group_0/index_6626_seed_32834_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 06:09:51.986 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:10:09.548 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:10:13.195 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 06:10:13.274 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 06:10:14.237 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.66s/it]
+2026-06-20 06:12:08.624 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.25s (1.90min)
+2026-06-20 06:12:09.326 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 06:14:10.580 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 122: training:  50%|█████     | 1/2 [03:29<03:29, 209.81s/it]             2026-06-20 06:21:11.869 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 123, train_steps: 4920
+Global Step 122: training: 100%|██████████| 2/2 [07:01<00:00, 210.63s/it]0, 10.32s/it]
+2026-06-20 06:21:12.441 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 123	train_steps 4920	{'step': '123/10000', 'learning_rate': '0.00001000', 'loss': '-5.122e-09', 'grad_norm': '0.00645152', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.63180542', 'grpo_loop_time': '421.27120972', 'ref_model_time': '114.24845886', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84520358', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12975955', 'token_credit_video_advantage_mean': '-1.397e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.459e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-5.122e-09', 'kl_loss': '0.00825999', 'kl_moving': '0.00825999', 'kl_stepwise': '-1.950e-08', 'gathered_avg_reward_mean': '-0.12975955', 'gathered_avg_reward_std': '0.09175698', 'gathered_vlm_logprob_reward_mean': '-0.12975955', 'gathered_vlm_logprob_reward_std': '0.09175698', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12975955', 'gathered_vlm_token_credit_reward_std': '0.09175698', 'gathered_vlm_yes_no_margin_reward_mean': '3.47617197', 'gathered_vlm_yes_no_margin_reward_std': '0.69268543', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.09180270', 'gathered_ori_avg_reward_mean': '-0.12975955', 'gathered_ori_avg_reward_std': '0.09175698'}
+2026-06-20 06:21:12.560 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 06:21:12.643 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 06:21:12.658 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:21:12.727 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 06:22:19.128 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000123/group_0/index_8544_seed_7706_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 06:22:22.519 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:22:40.068 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:22:40.078 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:22:40.078 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-20 06:23:48.320 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000123/group_0/index_8544_seed_7707_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 06:23:51.501 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:24:08.931 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:24:12.071 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 06:24:12.213 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 06:24:13.310 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.37s/it]
+2026-06-20 06:26:08.788 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.47s (1.92min)
+2026-06-20 06:26:09.511 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 06:28:09.835 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 123: training:  50%|█████     | 1/2 [03:30<03:30, 210.54s/it]             2026-06-20 06:35:11.856 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 124, train_steps: 4960
+Global Step 123: training: 100%|██████████| 2/2 [07:01<00:00, 210.99s/it]0, 10.31s/it]
+2026-06-20 06:35:12.418 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 124	train_steps 4960	{'step': '124/10000', 'learning_rate': '0.00001000', 'loss': '8.941e-08', 'grad_norm': '0.00598906', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.90414429', 'grpo_loop_time': '421.98751831', 'ref_model_time': '115.46682739', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89160579', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09859370', 'token_credit_video_advantage_mean': '-6.007e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.473e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.568e-08', 'kl_loss': '0.00753054', 'kl_moving': '0.00753054', 'kl_stepwise': '-1.939e-08', 'gathered_avg_reward_mean': '-0.09859371', 'gathered_avg_reward_std': '0.08895294', 'gathered_vlm_logprob_reward_mean': '-0.09859371', 'gathered_vlm_logprob_reward_std': '0.08895294', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09859371', 'gathered_vlm_token_credit_reward_std': '0.08895294', 'gathered_vlm_yes_no_margin_reward_mean': '3.67382812', 'gathered_vlm_yes_no_margin_reward_std': '0.76295364', 'gathered_vlm_yes_ratio_reward_mean': '0.96562499', 'gathered_vlm_yes_ratio_reward_std': '0.07545436', 'gathered_ori_avg_reward_mean': '-0.09859371', 'gathered_ori_avg_reward_std': '0.08895294'}
+2026-06-20 06:35:12.537 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 06:35:12.620 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 06:35:12.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:35:12.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.87s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 06:36:18.954 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000124/group_0/index_3437_seed_7978_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 06:36:22.235 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:36:39.935 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:36:39.946 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:36:39.947 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-20 06:37:48.253 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000124/group_0/index_3437_seed_7979_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 06:37:51.463 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:38:10.009 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:38:12.129 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 06:38:12.243 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 06:38:13.116 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.71s/it]
+2026-06-20 06:40:08.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.44s (1.92min)
+2026-06-20 06:40:09.426 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 06:42:09.773 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 124: training:  50%|█████     | 1/2 [03:30<03:30, 210.23s/it]             2026-06-20 06:49:11.641 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 125, train_steps: 5000
+Global Step 124: training: 100%|██████████| 2/2 [07:01<00:00, 210.92s/it]0, 10.32s/it]
+2026-06-20 06:49:12.315 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 125	train_steps 5000	{'step': '125/10000', 'learning_rate': '0.00001000', 'loss': '-1.048e-08', 'grad_norm': '0.00628379', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.84228516', 'grpo_loop_time': '421.84445190', 'ref_model_time': '115.43826294', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88304317', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06895155', 'token_credit_video_advantage_mean': '6.985e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.409e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.187e-08', 'kl_loss': '0.00852033', 'kl_moving': '0.00852034', 'kl_stepwise': '-1.958e-08', 'gathered_avg_reward_mean': '-0.06895155', 'gathered_avg_reward_std': '0.07071847', 'gathered_vlm_logprob_reward_mean': '-0.06895155', 'gathered_vlm_logprob_reward_std': '0.07071847', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06895155', 'gathered_vlm_token_credit_reward_std': '0.07071847', 'gathered_vlm_yes_no_margin_reward_mean': '4.07734394', 'gathered_vlm_yes_no_margin_reward_std': '0.85092688', 'gathered_vlm_yes_ratio_reward_mean': '0.97812504', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.06895155', 'gathered_ori_avg_reward_std': '0.07071847'}
+2026-06-20 06:50:15.211 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 125 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-125
+2026-06-20 06:50:15.220 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 06:50:15.320 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 06:50:15.424 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:50:15.566 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 06:51:21.683 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000125/group_0/index_5886_seed_33483_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 06:51:25.332 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:51:42.904 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:51:42.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 06:51:42.915 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.05s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.05s/it]
+2026-06-20 06:52:51.364 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000125/group_0/index_5886_seed_33484_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 06:52:56.655 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 06:53:14.705 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 06:53:15.926 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 06:53:16.034 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 06:53:16.889 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 06:55:11.653 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.68s (1.91min)
+2026-06-20 06:55:12.372 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 06:57:11.763 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 125: training:  50%|█████     | 1/2 [03:28<03:28, 208.67s/it]             2026-06-20 07:04:11.915 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 126, train_steps: 5040
+Global Step 125: training: 100%|██████████| 2/2 [07:00<00:00, 210.07s/it]0, 10.32s/it]
+2026-06-20 07:04:12.577 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 126	train_steps 5040	{'step': '126/10000', 'learning_rate': '0.00001000', 'loss': '-1.863e-08', 'grad_norm': '0.00859163', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.10565186', 'grpo_loop_time': '420.13861084', 'ref_model_time': '114.67948151', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87462813', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12665552', 'token_credit_video_advantage_mean': '6.519e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.863e-08', 'kl_loss': '0.00910641', 'kl_moving': '0.00910641', 'kl_stepwise': '-1.919e-08', 'gathered_avg_reward_mean': '-0.12665552', 'gathered_avg_reward_std': '0.11018145', 'gathered_vlm_logprob_reward_mean': '-0.12665552', 'gathered_vlm_logprob_reward_std': '0.11018145', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12665552', 'gathered_vlm_token_credit_reward_std': '0.11018145', 'gathered_vlm_yes_no_margin_reward_mean': '3.71445322', 'gathered_vlm_yes_no_margin_reward_std': '0.91417658', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.08833310', 'gathered_ori_avg_reward_mean': '-0.12665552', 'gathered_ori_avg_reward_std': '0.11018145'}
+2026-06-20 07:04:12.629 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 07:04:12.717 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 07:04:12.733 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:04:12.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 07:05:19.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000126/group_0/index_2872_seed_21573_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 07:05:23.794 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:05:41.293 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:05:41.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:05:41.305 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-20 07:06:49.393 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000126/group_0/index_2872_seed_21574_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 07:06:54.110 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:07:12.051 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:07:13.988 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 07:07:14.041 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 07:07:15.124 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.47s/it]
+2026-06-20 07:09:10.436 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.08s (1.92min)
+2026-06-20 07:09:11.146 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 07:11:11.166 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 126: training:  50%|█████     | 1/2 [03:29<03:29, 209.14s/it]             2026-06-20 07:18:11.936 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 127, train_steps: 5080
+Global Step 126: training: 100%|██████████| 2/2 [07:00<00:00, 210.38s/it]0, 10.32s/it]
+2026-06-20 07:18:12.532 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 127	train_steps 5080	{'step': '127/10000', 'learning_rate': '0.00001000', 'loss': '9.034e-08', 'grad_norm': '0.00518443', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.46994019', 'grpo_loop_time': '420.75607300', 'ref_model_time': '115.07998657', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.83973253', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11343896', 'token_credit_video_advantage_mean': '-4.063e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.402e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.034e-08', 'kl_loss': '0.00741474', 'kl_moving': '0.00741474', 'kl_stepwise': '-1.926e-08', 'gathered_avg_reward_mean': '-0.11343896', 'gathered_avg_reward_std': '0.08133868', 'gathered_vlm_logprob_reward_mean': '-0.11343896', 'gathered_vlm_logprob_reward_std': '0.08133868', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11343896', 'gathered_vlm_token_credit_reward_std': '0.08133868', 'gathered_vlm_yes_no_margin_reward_mean': '3.47578120', 'gathered_vlm_yes_no_margin_reward_std': '0.72732621', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.11343896', 'gathered_ori_avg_reward_std': '0.08133868'}
+2026-06-20 07:18:12.629 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 07:18:12.713 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 07:18:12.729 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:18:12.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 07:19:18.918 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000127/group_0/index_9926_seed_3387_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 07:19:22.555 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:19:40.531 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:19:40.542 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:19:40.542 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.05s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.05s/it]
+2026-06-20 07:20:49.233 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000127/group_0/index_9926_seed_3388_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 07:20:54.416 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:21:12.467 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:21:13.050 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 07:21:13.087 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 07:21:14.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.59s/it]
+2026-06-20 07:23:09.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.50s (1.93min)
+2026-06-20 07:23:10.327 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 07:25:10.158 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 127: training:  50%|█████     | 1/2 [03:29<03:29, 209.65s/it]             2026-06-20 07:32:11.165 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 128, train_steps: 5120
+Global Step 127: training: 100%|██████████| 2/2 [07:00<00:00, 210.49s/it]0, 10.32s/it]
+2026-06-20 07:32:11.828 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 128	train_steps 5120	{'step': '128/10000', 'learning_rate': '0.00001000', 'loss': '5.588e-09', 'grad_norm': '0.00913265', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.65161133', 'grpo_loop_time': '420.98980713', 'ref_model_time': '115.50462341', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85830933', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07646959', 'token_credit_video_advantage_mean': '-5.588e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.449e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '5.588e-09', 'kl_loss': '0.00853759', 'kl_moving': '0.00853759', 'kl_stepwise': '-1.931e-08', 'gathered_avg_reward_mean': '-0.07646959', 'gathered_avg_reward_std': '0.06242324', 'gathered_vlm_logprob_reward_mean': '-0.07646960', 'gathered_vlm_logprob_reward_std': '0.06242324', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07646960', 'gathered_vlm_token_credit_reward_std': '0.06242324', 'gathered_vlm_yes_no_margin_reward_mean': '3.55507803', 'gathered_vlm_yes_no_margin_reward_std': '0.77298355', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.07646960', 'gathered_ori_avg_reward_std': '0.06242324'}
+2026-06-20 07:32:11.882 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 07:32:11.970 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 07:32:12.003 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:32:12.049 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 07:33:18.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000128/group_0/index_4166_seed_4476_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 07:33:22.937 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:33:40.320 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:33:40.328 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:33:40.329 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-20 07:34:48.701 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000128/group_0/index_4166_seed_4477_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 07:34:53.389 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:35:10.984 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:35:13.015 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 07:35:13.087 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 07:35:13.914 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-20 07:37:08.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.56s (1.91min)
+2026-06-20 07:37:09.373 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 07:39:09.929 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 128: training:  50%|█████     | 1/2 [03:30<03:30, 210.43s/it]             2026-06-20 07:46:11.992 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 129, train_steps: 5160
+Global Step 128: training: 100%|██████████| 2/2 [07:02<00:00, 211.02s/it]0, 10.32s/it]
+2026-06-20 07:46:12.649 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 129	train_steps 5160	{'step': '129/10000', 'learning_rate': '0.00001000', 'loss': '-1.956e-08', 'grad_norm': '0.00894392', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.44406128', 'grpo_loop_time': '422.03390503', 'ref_model_time': '114.55644226', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87547058', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08017917', 'token_credit_video_advantage_mean': '1.770e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.418e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.328e-08', 'kl_loss': '0.01022491', 'kl_moving': '0.01022491', 'kl_stepwise': '-1.894e-08', 'gathered_avg_reward_mean': '-0.08017917', 'gathered_avg_reward_std': '0.06815843', 'gathered_vlm_logprob_reward_mean': '-0.08017917', 'gathered_vlm_logprob_reward_std': '0.06815843', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08017917', 'gathered_vlm_token_credit_reward_std': '0.06815843', 'gathered_vlm_yes_no_margin_reward_mean': '3.59687495', 'gathered_vlm_yes_no_margin_reward_std': '0.75938785', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08017917', 'gathered_ori_avg_reward_std': '0.06815843'}
+2026-06-20 07:46:12.711 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 07:46:12.793 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 07:46:12.810 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:46:12.895 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 07:47:19.675 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000129/group_0/index_9202_seed_27401_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 07:47:24.374 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:47:41.950 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:47:41.960 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 07:47:41.962 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-20 07:48:49.110 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000129/group_0/index_9202_seed_27402_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 07:48:53.934 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 07:49:11.673 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 07:49:13.070 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 07:49:13.141 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 07:49:13.970 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.58s/it]
+2026-06-20 07:51:09.058 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.91s (1.92min)
+2026-06-20 07:51:09.758 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 07:53:10.304 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 129: training:  50%|█████     | 1/2 [03:29<03:29, 209.77s/it]             2026-06-20 08:00:11.781 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 130, train_steps: 5200
+Global Step 129: training: 100%|██████████| 2/2 [07:01<00:00, 210.73s/it]0, 10.32s/it]
+2026-06-20 08:00:12.431 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 130	train_steps 5200	{'step': '130/10000', 'learning_rate': '0.00001000', 'loss': '-1.322e-07', 'grad_norm': '0.00624650', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.00061035', 'grpo_loop_time': '421.46017456', 'ref_model_time': '114.91379547', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86369157', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06942226', 'token_credit_video_advantage_mean': '6.985e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.525e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.322e-07', 'kl_loss': '0.00913560', 'kl_moving': '0.00913560', 'kl_stepwise': '-1.959e-08', 'gathered_avg_reward_mean': '-0.06942225', 'gathered_avg_reward_std': '0.05832174', 'gathered_vlm_logprob_reward_mean': '-0.06942225', 'gathered_vlm_logprob_reward_std': '0.05832174', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06942225', 'gathered_vlm_token_credit_reward_std': '0.05832174', 'gathered_vlm_yes_no_margin_reward_mean': '3.81796885', 'gathered_vlm_yes_no_margin_reward_std': '0.82903218', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.06942225', 'gathered_ori_avg_reward_std': '0.05832174'}
+2026-06-20 08:00:49.277 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=130 (missing=0, unexpected=0)
+2026-06-20 08:00:51.244 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 08:00:51.327 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 08:00:51.372 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:00:51.418 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-20 08:02:00.341 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000130/group_0/index_8496_seed_150_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 08:02:05.053 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:02:22.331 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:02:22.341 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:02:22.341 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-20 08:03:28.990 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000130/group_0/index_8496_seed_151_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 08:03:33.738 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:03:51.131 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:03:52.509 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 08:03:52.551 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 08:03:53.395 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.80s/it]
+2026-06-20 08:05:47.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.72s (1.90min)
+2026-06-20 08:05:48.018 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 08:07:44.845 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 130: training:  50%|█████     | 1/2 [03:27<03:27, 207.98s/it]             2026-06-20 08:14:45.317 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 131, train_steps: 5240
+Global Step 130: training: 100%|██████████| 2/2 [07:00<00:00, 210.24s/it]0, 10.48s/it]
+2026-06-20 08:14:45.877 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 131	train_steps 5240	{'step': '131/10000', 'learning_rate': '0.00001000', 'loss': '3.446e-08', 'grad_norm': '0.01599105', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.72894287', 'grpo_loop_time': '420.47866821', 'ref_model_time': '113.71529388', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86974239', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05766669', 'token_credit_video_advantage_mean': '-1.071e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.519e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.260e-08', 'kl_loss': '0.00805732', 'kl_moving': '0.00805732', 'kl_stepwise': '-2.038e-08', 'gathered_avg_reward_mean': '-0.05766670', 'gathered_avg_reward_std': '0.05516699', 'gathered_vlm_logprob_reward_mean': '-0.05766669', 'gathered_vlm_logprob_reward_std': '0.05516699', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05766669', 'gathered_vlm_token_credit_reward_std': '0.05516699', 'gathered_vlm_yes_no_margin_reward_mean': '4.13945341', 'gathered_vlm_yes_no_margin_reward_std': '0.67428780', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.05766669', 'gathered_ori_avg_reward_std': '0.05516699'}
+2026-06-20 08:14:46.024 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 08:14:46.104 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 08:14:46.120 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:14:46.180 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 08:15:52.655 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000131/group_0/index_5465_seed_19254_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 08:15:57.393 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:16:14.922 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:16:14.932 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:16:14.932 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-20 08:17:23.533 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000131/group_0/index_5465_seed_19255_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 08:17:28.284 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:17:45.988 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:17:46.989 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 08:17:47.026 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 08:17:47.904 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.44s/it]
+2026-06-20 08:19:41.428 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.38s (1.89min)
+2026-06-20 08:19:42.138 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 08:21:39.471 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 131: training:  50%|█████     | 1/2 [03:27<03:27, 207.16s/it]             2026-06-20 08:28:37.824 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 132, train_steps: 5280
+Global Step 131: training: 100%|██████████| 2/2 [06:58<00:00, 209.18s/it]0, 10.31s/it]
+2026-06-20 08:28:38.388 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 132	train_steps 5280	{'step': '132/10000', 'learning_rate': '0.00001000', 'loss': '-9.593e-08', 'grad_norm': '0.00631488', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.06723022', 'grpo_loop_time': '418.36120605', 'ref_model_time': '113.38040924', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86658043', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10556683', 'token_credit_video_advantage_mean': '6.706e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.423e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.593e-08', 'kl_loss': '0.00790236', 'kl_moving': '0.00790236', 'kl_stepwise': '-1.997e-08', 'gathered_avg_reward_mean': '-0.10556684', 'gathered_avg_reward_std': '0.10115853', 'gathered_vlm_logprob_reward_mean': '-0.10556683', 'gathered_vlm_logprob_reward_std': '0.10115852', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10556683', 'gathered_vlm_token_credit_reward_std': '0.10115852', 'gathered_vlm_yes_no_margin_reward_mean': '3.49804688', 'gathered_vlm_yes_no_margin_reward_std': '0.79944205', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.08816709', 'gathered_ori_avg_reward_mean': '-0.10556683', 'gathered_ori_avg_reward_std': '0.10115852'}
+2026-06-20 08:28:38.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 08:28:38.597 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 08:28:38.624 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:28:38.669 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 08:29:45.232 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000132/group_0/index_1410_seed_31397_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 08:29:49.012 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:30:06.362 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:30:06.372 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:30:06.373 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-20 08:31:15.812 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000132/group_0/index_1410_seed_31398_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 08:31:21.251 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:31:38.796 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:31:40.849 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 08:31:40.892 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 08:31:41.773 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.40s/it]
+2026-06-20 08:33:35.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.44s (1.89min)
+2026-06-20 08:33:36.119 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 08:35:35.262 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 132: training:  50%|█████     | 1/2 [03:27<03:27, 207.41s/it]             2026-06-20 08:42:34.328 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 133, train_steps: 5320
+Global Step 132: training: 100%|██████████| 2/2 [06:59<00:00, 209.53s/it]0, 10.32s/it]
+2026-06-20 08:42:34.888 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 133	train_steps 5320	{'step': '133/10000', 'learning_rate': '0.00001000', 'loss': '-7.637e-08', 'grad_norm': '0.01184777', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.55261230', 'grpo_loop_time': '419.06005859', 'ref_model_time': '113.43518066', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86469746', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08280078', 'token_credit_video_advantage_mean': '3.353e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.386e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.823e-08', 'kl_loss': '0.00909830', 'kl_moving': '0.00909830', 'kl_stepwise': '-1.928e-08', 'gathered_avg_reward_mean': '-0.08280078', 'gathered_avg_reward_std': '0.06097263', 'gathered_vlm_logprob_reward_mean': '-0.08280078', 'gathered_vlm_logprob_reward_std': '0.06097263', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08280078', 'gathered_vlm_token_credit_reward_std': '0.06097263', 'gathered_vlm_yes_no_margin_reward_mean': '3.64531255', 'gathered_vlm_yes_no_margin_reward_std': '0.65067381', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.08280078', 'gathered_ori_avg_reward_std': '0.06097263'}
+2026-06-20 08:42:35.016 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 08:42:35.096 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 08:42:35.123 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:42:35.167 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 08:43:41.809 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000133/group_0/index_6838_seed_31328_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 08:43:46.542 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:44:03.846 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:44:03.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:44:03.856 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.04s/it][01:00<00:00,  2.94s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.04s/it]
+2026-06-20 08:45:11.933 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000133/group_0/index_6838_seed_31329_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 08:45:16.770 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:45:34.793 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:45:35.887 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 08:45:35.991 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 08:45:36.787 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.53s/it]
+2026-06-20 08:47:32.712 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.77s (1.93min)
+2026-06-20 08:47:33.449 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 08:49:30.691 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 133: training:  50%|█████     | 1/2 [03:27<03:27, 207.34s/it]             2026-06-20 08:56:29.429 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 134, train_steps: 5360
+Global Step 133: training: 100%|██████████| 2/2 [06:58<00:00, 209.37s/it]0, 10.31s/it]
+2026-06-20 08:56:29.995 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 134	train_steps 5360	{'step': '134/10000', 'learning_rate': '0.00001000', 'loss': '-3.539e-08', 'grad_norm': '0.00613375', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.38330078', 'grpo_loop_time': '418.73394775', 'ref_model_time': '115.77433777', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.89676380', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07987978', 'token_credit_video_advantage_mean': '1.583e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.445e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.539e-08', 'kl_loss': '0.00824735', 'kl_moving': '0.00824736', 'kl_stepwise': '-1.904e-08', 'gathered_avg_reward_mean': '-0.07987978', 'gathered_avg_reward_std': '0.10584892', 'gathered_vlm_logprob_reward_mean': '-0.07987978', 'gathered_vlm_logprob_reward_std': '0.10584893', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07987978', 'gathered_vlm_token_credit_reward_std': '0.10584893', 'gathered_vlm_yes_no_margin_reward_mean': '3.88867188', 'gathered_vlm_yes_no_margin_reward_std': '0.72784907', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.08076780', 'gathered_ori_avg_reward_mean': '-0.07987978', 'gathered_ori_avg_reward_std': '0.10584893'}
+2026-06-20 08:56:30.113 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 08:56:30.192 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 08:56:30.238 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:56:30.285 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 08:57:36.622 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000134/group_0/index_8760_seed_24004_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 08:57:40.311 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:57:57.935 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:57:57.945 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 08:57:57.945 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.99s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 08:59:07.893 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000134/group_0/index_8760_seed_24005_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 08:59:13.309 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 08:59:31.149 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 08:59:32.040 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 08:59:32.109 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 08:59:32.948 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.47s/it]
+2026-06-20 09:01:26.319 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.22s (1.89min)
+2026-06-20 09:01:27.048 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 09:03:23.806 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 134: training:  50%|█████     | 1/2 [03:27<03:27, 207.47s/it]             2026-06-20 09:10:22.982 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 135, train_steps: 5400
+Global Step 134: training: 100%|██████████| 2/2 [06:59<00:00, 209.59s/it]0, 10.35s/it]
+2026-06-20 09:10:23.545 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 135	train_steps 5400	{'step': '135/10000', 'learning_rate': '0.00001000', 'loss': '7.916e-08', 'grad_norm': '0.00530944', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.88845825', 'grpo_loop_time': '419.17633057', 'ref_model_time': '113.22322845', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87844944', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10506502', 'token_credit_video_advantage_mean': '-3.632e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.413e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.916e-08', 'kl_loss': '0.00771795', 'kl_moving': '0.00771795', 'kl_stepwise': '-1.789e-08', 'gathered_avg_reward_mean': '-0.10506501', 'gathered_avg_reward_std': '0.13220450', 'gathered_vlm_logprob_reward_mean': '-0.10506502', 'gathered_vlm_logprob_reward_std': '0.13220450', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10506502', 'gathered_vlm_token_credit_reward_std': '0.13220450', 'gathered_vlm_yes_no_margin_reward_mean': '3.63984346', 'gathered_vlm_yes_no_margin_reward_std': '0.75193393', 'gathered_vlm_yes_ratio_reward_mean': '0.96562505', 'gathered_vlm_yes_ratio_reward_std': '0.09051719', 'gathered_ori_avg_reward_mean': '-0.10506502', 'gathered_ori_avg_reward_std': '0.13220450'}
+2026-06-20 09:10:23.673 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 09:10:23.753 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 09:10:23.769 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:10:23.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 09:11:29.975 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000135/group_0/index_5260_seed_31378_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 09:11:33.558 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:11:51.222 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:11:51.232 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:11:51.232 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  3.00s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-20 09:13:00.626 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000135/group_0/index_5260_seed_31379_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 09:13:04.233 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:13:22.111 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:13:23.932 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 09:13:24.003 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 09:13:24.973 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-06-20 09:15:18.588 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.61s (1.89min)
+2026-06-20 09:15:19.310 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 09:17:17.102 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 135: training:  50%|█████     | 1/2 [03:27<03:27, 207.87s/it]             2026-06-20 09:24:16.802 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 136, train_steps: 5440
+Global Step 135: training: 100%|██████████| 2/2 [06:59<00:00, 209.84s/it]0, 10.33s/it]
+2026-06-20 09:24:17.475 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 136	train_steps 5440	{'step': '136/10000', 'learning_rate': '0.00001000', 'loss': '6.706e-08', 'grad_norm': '0.01217383', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.59045410', 'grpo_loop_time': '419.69070435', 'ref_model_time': '113.61251831', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85131699', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09933445', 'token_credit_video_advantage_mean': '-4.284e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '6.706e-08', 'kl_loss': '0.00879060', 'kl_moving': '0.00879060', 'kl_stepwise': '-1.858e-08', 'gathered_avg_reward_mean': '-0.09933444', 'gathered_avg_reward_std': '0.07491156', 'gathered_vlm_logprob_reward_mean': '-0.09933445', 'gathered_vlm_logprob_reward_std': '0.07491156', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09933445', 'gathered_vlm_token_credit_reward_std': '0.07491156', 'gathered_vlm_yes_no_margin_reward_mean': '3.28085947', 'gathered_vlm_yes_no_margin_reward_std': '0.61527973', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261844', 'gathered_ori_avg_reward_mean': '-0.09933445', 'gathered_ori_avg_reward_std': '0.07491156'}
+2026-06-20 09:24:17.531 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 09:24:17.623 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 09:24:17.656 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:24:17.702 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 09:25:24.142 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000136/group_0/index_8451_seed_20629_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 09:25:29.462 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:25:46.820 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:25:46.829 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:25:46.832 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.00s/it][01:00<00:00,  2.99s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.00s/it]
+2026-06-20 09:26:54.303 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000136/group_0/index_8451_seed_20630_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 09:26:59.039 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:27:16.870 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:27:18.656 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 09:27:18.715 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 09:27:19.763 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-06-20 09:29:12.958 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.15s (1.89min)
+2026-06-20 09:29:13.686 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 09:31:13.179 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 136: training:  50%|█████     | 1/2 [03:28<03:28, 208.41s/it]             2026-06-20 09:38:13.218 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 137, train_steps: 5480
+Global Step 136: training: 100%|██████████| 2/2 [07:00<00:00, 210.01s/it]0, 10.33s/it]
+2026-06-20 09:38:13.854 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 137	train_steps 5480	{'step': '137/10000', 'learning_rate': '0.00001000', 'loss': '-1.006e-07', 'grad_norm': '0.00932746', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.10876465', 'grpo_loop_time': '420.02917480', 'ref_model_time': '113.15363312', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86954355', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06732731', 'token_credit_video_advantage_mean': '4.936e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.493e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.024e-07', 'kl_loss': '0.00884443', 'kl_moving': '0.00884443', 'kl_stepwise': '-1.999e-08', 'gathered_avg_reward_mean': '-0.06732731', 'gathered_avg_reward_std': '0.06994882', 'gathered_vlm_logprob_reward_mean': '-0.06732731', 'gathered_vlm_logprob_reward_std': '0.06994882', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06732731', 'gathered_vlm_token_credit_reward_std': '0.06994882', 'gathered_vlm_yes_no_margin_reward_mean': '3.88320303', 'gathered_vlm_yes_no_margin_reward_std': '0.88326514', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367363', 'gathered_ori_avg_reward_mean': '-0.06732731', 'gathered_ori_avg_reward_std': '0.06994882'}
+2026-06-20 09:38:13.935 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 09:38:14.019 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 09:38:14.059 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:38:14.106 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 09:39:20.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000137/group_0/index_5609_seed_28072_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 09:39:24.177 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:39:42.071 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:39:42.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:39:42.083 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.05s/it][01:00<00:00,  3.00s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.05s/it]
+2026-06-20 09:40:50.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000137/group_0/index_5609_seed_28073_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 09:40:54.066 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:41:11.862 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:41:14.371 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 09:41:14.461 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 09:41:15.583 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-06-20 09:43:09.522 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.87s (1.90min)
+2026-06-20 09:43:10.251 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 09:45:10.505 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 137: training:  50%|█████     | 1/2 [03:30<03:30, 210.02s/it]             2026-06-20 09:52:12.151 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 138, train_steps: 5520
+Global Step 137: training: 100%|██████████| 2/2 [07:01<00:00, 210.81s/it]0, 10.31s/it]
+2026-06-20 09:52:12.803 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 138	train_steps 5520	{'step': '138/10000', 'learning_rate': '0.00001000', 'loss': '-2.608e-08', 'grad_norm': '0.00706212', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.26727295', 'grpo_loop_time': '421.62231445', 'ref_model_time': '113.87181854', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86084181', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11558155', 'token_credit_video_advantage_mean': '2.049e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.405e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.608e-08', 'kl_loss': '0.00941075', 'kl_moving': '0.00941075', 'kl_stepwise': '-1.963e-08', 'gathered_avg_reward_mean': '-0.11558153', 'gathered_avg_reward_std': '0.12551409', 'gathered_vlm_logprob_reward_mean': '-0.11558154', 'gathered_vlm_logprob_reward_std': '0.12551409', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11558154', 'gathered_vlm_token_credit_reward_std': '0.12551409', 'gathered_vlm_yes_no_margin_reward_mean': '3.48164082', 'gathered_vlm_yes_no_margin_reward_std': '0.66198748', 'gathered_vlm_yes_ratio_reward_mean': '0.95625001', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.11558154', 'gathered_ori_avg_reward_std': '0.12551409'}
+2026-06-20 09:52:12.865 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 09:52:12.947 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 09:52:13.001 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:52:13.043 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 09:53:19.476 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000138/group_0/index_4937_seed_20629_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 09:53:22.785 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:53:39.987 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:53:39.996 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 09:53:39.997 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.11s/it][01:02<00:00,  2.99s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.11s/it]
+2026-06-20 09:54:49.608 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000138/group_0/index_4937_seed_20630_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 09:54:55.156 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 09:55:12.746 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 09:55:13.383 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 09:55:13.466 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 09:55:14.545 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.54s/it]
+2026-06-20 09:57:10.188 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.46s (1.92min)
+2026-06-20 09:57:10.921 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 09:59:11.151 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 138: training:  50%|█████     | 1/2 [03:29<03:29, 209.51s/it]             2026-06-20 10:06:12.674 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 139, train_steps: 5560
+Global Step 138: training: 100%|██████████| 2/2 [07:01<00:00, 210.75s/it]0, 10.43s/it]
+2026-06-20 10:06:13.304 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 139	train_steps 5560	{'step': '139/10000', 'learning_rate': '0.00001000', 'loss': '-3.725e-09', 'grad_norm': '0.00625271', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.00955200', 'grpo_loop_time': '421.51144409', 'ref_model_time': '115.45681000', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85549420', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09142122', 'token_credit_video_advantage_mean': '-2.794e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.423e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.725e-09', 'kl_loss': '0.00856264', 'kl_moving': '0.00856265', 'kl_stepwise': '-1.978e-08', 'gathered_avg_reward_mean': '-0.09142122', 'gathered_avg_reward_std': '0.07306438', 'gathered_vlm_logprob_reward_mean': '-0.09142122', 'gathered_vlm_logprob_reward_std': '0.07306437', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09142122', 'gathered_vlm_token_credit_reward_std': '0.07306437', 'gathered_vlm_yes_no_margin_reward_mean': '3.49648428', 'gathered_vlm_yes_no_margin_reward_std': '0.67363673', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367364', 'gathered_ori_avg_reward_mean': '-0.09142122', 'gathered_ori_avg_reward_std': '0.07306437'}
+2026-06-20 10:06:13.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 10:06:13.449 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 10:06:13.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:06:13.530 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 10:07:20.310 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000139/group_0/index_6887_seed_19194_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 10:07:24.997 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:07:42.489 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:07:42.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:07:42.499 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.97s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-20 10:08:50.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000139/group_0/index_6887_seed_19195_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 10:08:54.255 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:09:11.995 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:09:13.264 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 10:09:13.299 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 10:09:14.307 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.24s/it]
+2026-06-20 10:11:08.674 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.20s (1.90min)
+2026-06-20 10:11:09.398 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 10:13:09.782 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 139: training:  50%|█████     | 1/2 [03:30<03:30, 210.60s/it]             2026-06-20 10:20:12.680 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 140, train_steps: 5600
+Global Step 139: training: 100%|██████████| 2/2 [07:03<00:00, 211.50s/it]0, 10.42s/it]
+2026-06-20 10:20:13.462 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 140	train_steps 5600	{'step': '140/10000', 'learning_rate': '0.00001000', 'loss': '1.490e-07', 'grad_norm': '0.00642518', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.98828125', 'grpo_loop_time': '423.00976562', 'ref_model_time': '114.19642639', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85250753', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08843222', 'token_credit_video_advantage_mean': '-9.034e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.441e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.490e-07', 'kl_loss': '0.00905873', 'kl_moving': '0.00905874', 'kl_stepwise': '-1.959e-08', 'gathered_avg_reward_mean': '-0.08843222', 'gathered_avg_reward_std': '0.08056702', 'gathered_vlm_logprob_reward_mean': '-0.08843222', 'gathered_vlm_logprob_reward_std': '0.08056702', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08843222', 'gathered_vlm_token_credit_reward_std': '0.08056702', 'gathered_vlm_yes_no_margin_reward_mean': '3.74531269', 'gathered_vlm_yes_no_margin_reward_std': '0.73649120', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614379', 'gathered_ori_avg_reward_mean': '-0.08843222', 'gathered_ori_avg_reward_std': '0.08056702'}
+2026-06-20 10:20:50.213 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=140 (missing=0, unexpected=0)
+2026-06-20 10:20:51.812 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 10:20:51.894 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 10:20:51.939 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:20:51.983 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-20 10:22:00.493 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000140/group_0/index_9944_seed_13142_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 10:22:03.789 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:22:21.335 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:22:21.346 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:22:21.346 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.02s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.02s/it]
+2026-06-20 10:23:29.283 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000140/group_0/index_9944_seed_13143_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 10:23:34.735 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:23:52.489 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:23:53.040 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 10:23:53.105 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 10:23:53.940 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.54s/it]
+2026-06-20 10:25:47.600 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.52s (1.89min)
+2026-06-20 10:25:48.314 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 10:27:45.365 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 140: training:  50%|█████     | 1/2 [03:26<03:26, 206.81s/it]             2026-06-20 10:34:44.008 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 141, train_steps: 5640
+Global Step 140: training: 100%|██████████| 2/2 [06:58<00:00, 209.31s/it]0, 10.42s/it]
+2026-06-20 10:34:44.631 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 141	train_steps 5640	{'step': '141/10000', 'learning_rate': '0.00001000', 'loss': '-1.863e-08', 'grad_norm': '0.00746646', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.45358276', 'grpo_loop_time': '418.62084961', 'ref_model_time': '113.51915741', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87702048', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.16297770', 'token_credit_video_advantage_mean': '1.490e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.437e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.863e-08', 'kl_loss': '0.00818746', 'kl_moving': '0.00818746', 'kl_stepwise': '-1.943e-08', 'gathered_avg_reward_mean': '-0.16297771', 'gathered_avg_reward_std': '0.19705410', 'gathered_vlm_logprob_reward_mean': '-0.16297770', 'gathered_vlm_logprob_reward_std': '0.19705410', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.16297770', 'gathered_vlm_token_credit_reward_std': '0.19705410', 'gathered_vlm_yes_no_margin_reward_mean': '3.25898457', 'gathered_vlm_yes_no_margin_reward_std': '1.08174086', 'gathered_vlm_yes_ratio_reward_mean': '0.94375002', 'gathered_vlm_yes_ratio_reward_std': '0.11439378', 'gathered_ori_avg_reward_mean': '-0.16297770', 'gathered_ori_avg_reward_std': '0.19705410'}
+2026-06-20 10:34:44.687 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 10:34:44.777 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 10:34:44.825 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:34:44.874 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 10:35:51.292 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000141/group_0/index_2462_seed_16563_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 10:35:56.025 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:36:13.513 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:36:13.522 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:36:13.523 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.11s/it][01:02<00:00,  2.97s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.11s/it]
+2026-06-20 10:37:23.151 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000141/group_0/index_2462_seed_16564_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 10:37:27.978 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:37:45.339 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:37:46.846 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 10:37:46.901 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 10:37:47.810 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 10:39:41.415 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.51s (1.89min)
+2026-06-20 10:39:42.148 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 10:41:39.461 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 141: training:  50%|█████     | 1/2 [03:27<03:27, 207.37s/it]             2026-06-20 10:48:38.464 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 142, train_steps: 5680
+Global Step 141: training: 100%|██████████| 2/2 [06:58<00:00, 209.49s/it]0, 10.32s/it]
+2026-06-20 10:48:39.105 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 142	train_steps 5680	{'step': '142/10000', 'learning_rate': '0.00001000', 'loss': '7.637e-08', 'grad_norm': '0.00573646', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.41531372', 'grpo_loop_time': '418.99121094', 'ref_model_time': '113.51027679', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.90037072', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10895917', 'token_credit_video_advantage_mean': '-5.122e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.412e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.637e-08', 'kl_loss': '0.00791931', 'kl_moving': '0.00791931', 'kl_stepwise': '-1.923e-08', 'gathered_avg_reward_mean': '-0.10895915', 'gathered_avg_reward_std': '0.11613258', 'gathered_vlm_logprob_reward_mean': '-0.10895916', 'gathered_vlm_logprob_reward_std': '0.11613257', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10895916', 'gathered_vlm_token_credit_reward_std': '0.11613257', 'gathered_vlm_yes_no_margin_reward_mean': '3.65898418', 'gathered_vlm_yes_no_margin_reward_std': '0.70394218', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.10895916', 'gathered_ori_avg_reward_std': '0.11613257'}
+2026-06-20 10:48:39.156 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 10:48:39.243 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 10:48:39.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:48:39.318 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 10:49:45.646 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000142/group_0/index_7728_seed_5274_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 10:49:50.379 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:50:07.718 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:50:07.728 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 10:50:07.729 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.21s/it][01:04<00:00,  2.97s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.21s/it]
+2026-06-20 10:51:19.383 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000142/group_0/index_7728_seed_5275_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 10:51:24.203 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 10:51:41.616 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 10:51:43.153 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 10:51:43.233 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 10:51:44.043 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.50s/it]
+2026-06-20 10:53:37.145 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.94s (1.88min)
+2026-06-20 10:53:37.852 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 10:55:37.994 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 142: training:  50%|█████     | 1/2 [03:28<03:28, 208.36s/it]             2026-06-20 11:02:37.924 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 143, train_steps: 5720
+Global Step 142: training: 100%|██████████| 2/2 [06:59<00:00, 209.96s/it]0, 10.32s/it]
+2026-06-20 11:02:38.578 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 143	train_steps 5720	{'step': '143/10000', 'learning_rate': '0.00001000', 'loss': '7.451e-09', 'grad_norm': '0.00783867', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.64843750', 'grpo_loop_time': '419.92355347', 'ref_model_time': '112.93898773', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86606741', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06730220', 'token_credit_video_advantage_mean': '-1.444e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.446e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '7.451e-09', 'kl_loss': '0.00885048', 'kl_moving': '0.00885048', 'kl_stepwise': '-1.985e-08', 'gathered_avg_reward_mean': '-0.06730219', 'gathered_avg_reward_std': '0.07230247', 'gathered_vlm_logprob_reward_mean': '-0.06730219', 'gathered_vlm_logprob_reward_std': '0.07230246', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06730219', 'gathered_vlm_token_credit_reward_std': '0.07230246', 'gathered_vlm_yes_no_margin_reward_mean': '3.98984385', 'gathered_vlm_yes_no_margin_reward_std': '0.74720472', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841229', 'gathered_ori_avg_reward_mean': '-0.06730219', 'gathered_ori_avg_reward_std': '0.07230246'}
+2026-06-20 11:02:38.630 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 11:02:38.720 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 11:02:38.736 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:02:38.782 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.95s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 11:03:45.412 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000143/group_0/index_5308_seed_8721_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 11:03:49.196 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:04:06.910 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:04:06.921 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:04:06.921 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:04,  3.20s/it][01:04<00:00,  2.97s/it]
+100%|██████████| 20/20 [01:04<00:00,  3.20s/it]
+2026-06-20 11:05:18.472 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000143/group_0/index_5308_seed_8722_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 11:05:23.895 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:05:41.822 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:05:42.168 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 11:05:42.206 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 11:05:43.294 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-20 11:07:36.589 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.22s (1.89min)
+2026-06-20 11:07:37.313 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 11:09:36.843 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 143: training:  50%|█████     | 1/2 [03:28<03:28, 208.97s/it]             2026-06-20 11:16:37.091 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 144, train_steps: 5760
+Global Step 143: training: 100%|██████████| 2/2 [07:00<00:00, 210.13s/it]0, 10.33s/it]
+2026-06-20 11:16:37.677 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 144	train_steps 5760	{'step': '144/10000', 'learning_rate': '0.00001000', 'loss': '2.794e-08', 'grad_norm': '0.00565320', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.63562012', 'grpo_loop_time': '420.25878906', 'ref_model_time': '113.21671295', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85616815', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09249206', 'token_credit_video_advantage_mean': '-1.956e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.504e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.794e-08', 'kl_loss': '0.00792793', 'kl_moving': '0.00792793', 'kl_stepwise': '-2.052e-08', 'gathered_avg_reward_mean': '-0.09249206', 'gathered_avg_reward_std': '0.10229804', 'gathered_vlm_logprob_reward_mean': '-0.09249206', 'gathered_vlm_logprob_reward_std': '0.10229804', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09249206', 'gathered_vlm_token_credit_reward_std': '0.10229804', 'gathered_vlm_yes_no_margin_reward_mean': '3.60859394', 'gathered_vlm_yes_no_margin_reward_std': '0.94557166', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.09249206', 'gathered_ori_avg_reward_std': '0.10229804'}
+2026-06-20 11:16:37.797 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 11:16:37.876 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 11:16:37.891 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:16:37.953 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 11:17:44.034 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000144/group_0/index_5288_seed_8132_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 11:17:48.796 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:18:07.501 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:18:07.510 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:18:07.511 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-20 11:19:13.450 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000144/group_0/index_5288_seed_8133_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 11:19:18.507 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:19:38.700 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:19:38.707 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 11:19:38.728 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 11:19:39.707 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.46s/it]
+2026-06-20 11:21:33.370 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.47s (1.89min)
+2026-06-20 11:21:34.087 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 11:23:30.884 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 144: training:  50%|█████     | 1/2 [03:28<03:28, 208.21s/it]             2026-06-20 11:30:30.396 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 145, train_steps: 5800
+Global Step 144: training: 100%|██████████| 2/2 [06:59<00:00, 209.75s/it]0, 10.32s/it]
+2026-06-20 11:30:30.976 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 145	train_steps 5800	{'step': '145/10000', 'learning_rate': '0.00001000', 'loss': '-3.166e-08', 'grad_norm': '0.00632299', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.24218750', 'grpo_loop_time': '419.50216675', 'ref_model_time': '113.46771240', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.82465160', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07563678', 'token_credit_video_advantage_mean': '2.049e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.419e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.166e-08', 'kl_loss': '0.00778085', 'kl_moving': '0.00778085', 'kl_stepwise': '-1.904e-08', 'gathered_avg_reward_mean': '-0.07563678', 'gathered_avg_reward_std': '0.07400502', 'gathered_vlm_logprob_reward_mean': '-0.07563678', 'gathered_vlm_logprob_reward_std': '0.07400502', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07563678', 'gathered_vlm_token_credit_reward_std': '0.07400502', 'gathered_vlm_yes_no_margin_reward_mean': '3.66406250', 'gathered_vlm_yes_no_margin_reward_std': '0.70475334', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.07563678', 'gathered_ori_avg_reward_std': '0.07400502'}
+2026-06-20 11:30:31.096 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 11:30:31.175 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 11:30:31.206 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:30:31.251 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 11:31:37.280 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000145/group_0/index_3878_seed_25920_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 11:31:42.021 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:32:00.551 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:32:00.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:32:00.561 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.06s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.06s/it]
+2026-06-20 11:33:09.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000145/group_0/index_3878_seed_25921_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 11:33:12.772 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:33:30.611 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:33:33.207 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 11:33:33.328 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 11:33:34.287 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.13s/it]
+2026-06-20 11:35:28.182 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.89s (1.90min)
+2026-06-20 11:35:28.900 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 11:37:25.687 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 145: training:  50%|█████     | 1/2 [03:27<03:27, 207.25s/it]             2026-06-20 11:44:23.920 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 146, train_steps: 5840
+Global Step 145: training: 100%|██████████| 2/2 [06:58<00:00, 209.11s/it]0, 10.31s/it]
+2026-06-20 11:44:24.573 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 146	train_steps 5840	{'step': '146/10000', 'learning_rate': '0.00001000', 'loss': '-3.530e-07', 'grad_norm': '0.00715982', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.75833130', 'grpo_loop_time': '418.22879028', 'ref_model_time': '113.89257050', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87359339', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09470945', 'token_credit_video_advantage_mean': '2.128e-07', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.530e-07', 'kl_loss': '0.00772200', 'kl_moving': '0.00772200', 'kl_stepwise': '-1.892e-08', 'gathered_avg_reward_mean': '-0.09470944', 'gathered_avg_reward_std': '0.10825517', 'gathered_vlm_logprob_reward_mean': '-0.09470944', 'gathered_vlm_logprob_reward_std': '0.10825517', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09470944', 'gathered_vlm_token_credit_reward_std': '0.10825517', 'gathered_vlm_yes_no_margin_reward_mean': '3.67617178', 'gathered_vlm_yes_no_margin_reward_std': '0.76135200', 'gathered_vlm_yes_ratio_reward_mean': '0.97187501', 'gathered_vlm_yes_ratio_reward_std': '0.06952687', 'gathered_ori_avg_reward_mean': '-0.09470944', 'gathered_ori_avg_reward_std': '0.10825517'}
+2026-06-20 11:44:24.627 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 11:44:24.717 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 11:44:24.749 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:44:24.796 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 11:45:31.265 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000146/group_0/index_1422_seed_4519_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 11:45:34.388 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:45:51.716 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:45:51.728 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:45:51.731 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-20 11:46:59.481 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000146/group_0/index_1422_seed_4520_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 11:47:02.639 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:47:20.408 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:47:23.247 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 11:47:23.344 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 11:47:24.297 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:38<00:00, 49.20s/it]
+2026-06-20 11:49:19.133 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.83s (1.91min)
+2026-06-20 11:49:19.856 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 11:51:17.041 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 146: training:  50%|█████     | 1/2 [03:27<03:27, 207.85s/it]             2026-06-20 11:58:15.923 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 147, train_steps: 5880
+Global Step 146: training: 100%|██████████| 2/2 [06:58<00:00, 209.43s/it]0, 10.31s/it]
+2026-06-20 11:58:16.516 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 147	train_steps 5880	{'step': '147/10000', 'learning_rate': '0.00001000', 'loss': '1.168e-07', 'grad_norm': '0.00815510', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.18304443', 'grpo_loop_time': '418.86276245', 'ref_model_time': '114.82615662', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85357529', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10153865', 'token_credit_video_advantage_mean': '-7.529e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.394e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.168e-07', 'kl_loss': '0.00827153', 'kl_moving': '0.00827153', 'kl_stepwise': '-1.858e-08', 'gathered_avg_reward_mean': '-0.10153866', 'gathered_avg_reward_std': '0.12202501', 'gathered_vlm_logprob_reward_mean': '-0.10153865', 'gathered_vlm_logprob_reward_std': '0.12202501', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10153865', 'gathered_vlm_token_credit_reward_std': '0.12202501', 'gathered_vlm_yes_no_margin_reward_mean': '3.76093769', 'gathered_vlm_yes_no_margin_reward_std': '0.82293630', 'gathered_vlm_yes_ratio_reward_mean': '0.96249998', 'gathered_vlm_yes_ratio_reward_std': '0.07806248', 'gathered_ori_avg_reward_mean': '-0.10153865', 'gathered_ori_avg_reward_std': '0.12202501'}
+2026-06-20 11:58:16.616 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 11:58:16.699 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 11:58:16.739 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:58:16.786 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 11:59:23.512 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000147/group_0/index_9458_seed_866_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 11:59:26.722 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 11:59:44.366 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 11:59:44.377 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 11:59:44.378 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.05s/it][01:01<00:00,  2.91s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.05s/it]
+2026-06-20 12:00:52.805 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000147/group_0/index_9458_seed_867_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 12:00:58.007 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:01:15.890 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:01:16.232 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 12:01:16.299 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 12:01:17.208 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-06-20 12:03:12.586 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.29s (1.92min)
+2026-06-20 12:03:13.293 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 12:05:12.905 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 147: training:  50%|█████     | 1/2 [03:28<03:28, 208.32s/it]             2026-06-20 12:12:12.702 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 148, train_steps: 5920
+Global Step 147: training: 100%|██████████| 2/2 [06:59<00:00, 209.89s/it]0, 10.35s/it]
+2026-06-20 12:12:13.351 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 148	train_steps 5920	{'step': '148/10000', 'learning_rate': '0.00001000', 'loss': '-9.313e-09', 'grad_norm': '0.01565116', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.63156128', 'grpo_loop_time': '419.78668213', 'ref_model_time': '115.28835297', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86824793', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.11418655', 'token_credit_video_advantage_mean': '6.519e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.409e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.313e-09', 'kl_loss': '0.00915455', 'kl_moving': '0.00915455', 'kl_stepwise': '-1.890e-08', 'gathered_avg_reward_mean': '-0.11418655', 'gathered_avg_reward_std': '0.08733074', 'gathered_vlm_logprob_reward_mean': '-0.11418654', 'gathered_vlm_logprob_reward_std': '0.08733074', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.11418654', 'gathered_vlm_token_credit_reward_std': '0.08733074', 'gathered_vlm_yes_no_margin_reward_mean': '3.33046865', 'gathered_vlm_yes_no_margin_reward_std': '0.66185802', 'gathered_vlm_yes_ratio_reward_mean': '0.95937502', 'gathered_vlm_yes_ratio_reward_std': '0.08046495', 'gathered_ori_avg_reward_mean': '-0.11418654', 'gathered_ori_avg_reward_std': '0.08733074'}
+2026-06-20 12:12:13.403 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 12:12:13.491 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 12:12:13.509 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:12:13.553 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 12:13:20.093 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000148/group_0/index_3484_seed_26788_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 12:13:24.890 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:13:42.430 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:13:42.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:13:42.440 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-20 12:14:49.718 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000148/group_0/index_3484_seed_26789_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 12:14:54.490 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:15:12.119 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:15:13.144 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 12:15:13.204 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 12:15:14.036 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 12:17:09.048 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.69s (1.91min)
+2026-06-20 12:17:09.788 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 12:19:10.589 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 148: training:  50%|█████     | 1/2 [03:29<03:29, 209.81s/it]             2026-06-20 12:26:11.384 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 149, train_steps: 5960
+Global Step 148: training: 100%|██████████| 2/2 [07:00<00:00, 210.40s/it]0, 10.31s/it]
+2026-06-20 12:26:12.079 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 149	train_steps 5960	{'step': '149/10000', 'learning_rate': '0.00001000', 'loss': '-1.770e-08', 'grad_norm': '0.01248173', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.32498169', 'grpo_loop_time': '420.79315186', 'ref_model_time': '114.69098663', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88225663', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07683910', 'token_credit_video_advantage_mean': '1.024e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.465e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.142e-08', 'kl_loss': '0.00973585', 'kl_moving': '0.00973585', 'kl_stepwise': '-1.903e-08', 'gathered_avg_reward_mean': '-0.07683910', 'gathered_avg_reward_std': '0.06204448', 'gathered_vlm_logprob_reward_mean': '-0.07683910', 'gathered_vlm_logprob_reward_std': '0.06204448', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07683910', 'gathered_vlm_token_credit_reward_std': '0.06204448', 'gathered_vlm_yes_no_margin_reward_mean': '3.82929683', 'gathered_vlm_yes_no_margin_reward_std': '0.88661432', 'gathered_vlm_yes_ratio_reward_mean': '0.98125005', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07683910', 'gathered_ori_avg_reward_std': '0.06204448'}
+2026-06-20 12:26:12.133 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 12:26:12.222 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 12:26:12.250 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:26:12.295 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 12:27:18.653 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000149/group_0/index_4688_seed_3903_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 12:27:23.362 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:27:40.707 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:27:40.717 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:27:40.720 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.03s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.03s/it]
+2026-06-20 12:28:48.871 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000149/group_0/index_4688_seed_3904_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 12:28:53.708 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:29:11.126 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:29:13.029 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 12:29:13.101 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 12:29:13.929 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.52s/it]
+2026-06-20 12:31:08.793 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.71s (1.91min)
+2026-06-20 12:31:09.533 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 12:33:09.833 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 149: training:  50%|█████     | 1/2 [03:30<03:30, 210.11s/it]             2026-06-20 12:40:10.983 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 150, train_steps: 6000
+Global Step 149: training: 100%|██████████| 2/2 [07:01<00:00, 210.57s/it]0, 10.30s/it]
+2026-06-20 12:40:11.607 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 150	train_steps 6000	{'step': '150/10000', 'learning_rate': '0.00001000', 'loss': '3.539e-08', 'grad_norm': '0.00719527', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.35058594', 'grpo_loop_time': '421.13470459', 'ref_model_time': '114.71502686', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84797293', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12172102', 'token_credit_video_advantage_mean': '-4.098e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.465e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.166e-08', 'kl_loss': '0.00953788', 'kl_moving': '0.00953789', 'kl_stepwise': '-1.993e-08', 'gathered_avg_reward_mean': '-0.12172103', 'gathered_avg_reward_std': '0.13084675', 'gathered_vlm_logprob_reward_mean': '-0.12172103', 'gathered_vlm_logprob_reward_std': '0.13084675', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12172103', 'gathered_vlm_token_credit_reward_std': '0.13084675', 'gathered_vlm_yes_no_margin_reward_mean': '3.74140644', 'gathered_vlm_yes_no_margin_reward_std': '0.69856465', 'gathered_vlm_yes_ratio_reward_mean': '0.93750000', 'gathered_vlm_yes_ratio_reward_std': '0.09921568', 'gathered_ori_avg_reward_mean': '-0.12172103', 'gathered_ori_avg_reward_std': '0.13084675'}
+2026-06-20 12:41:18.043 | INFO     | __main__:save_checkpoint:1925 - Checkpoint saved at step 150 to s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-20 12:41:53.612 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=150 (missing=0, unexpected=0)
+2026-06-20 12:41:56.072 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 12:41:56.154 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 12:41:56.211 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:41:56.259 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-20 12:43:04.194 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000150/group_0/index_4044_seed_18127_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 12:43:08.961 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:43:26.425 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:43:26.434 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:43:26.435 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.95s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.95s/it]
+2026-06-20 12:44:32.792 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000150/group_0/index_4044_seed_18128_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 12:44:37.526 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:44:55.360 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:44:59.743 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 12:44:59.821 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 12:45:00.679 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-06-20 12:46:55.515 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.70s (1.91min)
+2026-06-20 12:46:56.236 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 12:48:52.989 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 150: training:  50%|█████     | 1/2 [03:27<03:27, 207.81s/it]             2026-06-20 12:55:51.598 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 151, train_steps: 6040
+Global Step 150: training: 100%|██████████| 2/2 [06:58<00:00, 209.30s/it]0, 10.30s/it]
+2026-06-20 12:55:52.198 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 151	train_steps 6040	{'step': '151/10000', 'learning_rate': '0.00001000', 'loss': '-2.515e-08', 'grad_norm': '0.00916863', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '300.11880493', 'grpo_loop_time': '418.60791016', 'ref_model_time': '114.69638062', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86680871', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.15393026', 'token_credit_video_advantage_mean': '2.282e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.449e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-3.446e-08', 'kl_loss': '0.00790859', 'kl_moving': '0.00790859', 'kl_stepwise': '-1.887e-08', 'gathered_avg_reward_mean': '-0.15393026', 'gathered_avg_reward_std': '0.19941954', 'gathered_vlm_logprob_reward_mean': '-0.15393025', 'gathered_vlm_logprob_reward_std': '0.19941954', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.15393025', 'gathered_vlm_token_credit_reward_std': '0.19941954', 'gathered_vlm_yes_no_margin_reward_mean': '3.43867207', 'gathered_vlm_yes_no_margin_reward_std': '1.06572056', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.15393025', 'gathered_ori_avg_reward_std': '0.19941954'}
+2026-06-20 12:55:52.305 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 12:55:52.383 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 12:55:52.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:55:52.474 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 12:56:58.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000151/group_0/index_1029_seed_33428_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 12:57:03.582 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:57:20.821 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:57:20.828 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 12:57:20.828 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-06-20 12:58:27.582 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000151/group_0/index_1029_seed_33429_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 12:58:32.365 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 12:58:49.849 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 12:58:50.720 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 12:58:50.789 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 12:58:51.625 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.41s/it]
+2026-06-20 13:00:46.189 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.41s (1.91min)
+2026-06-20 13:00:46.908 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 13:02:43.653 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 151: training:  50%|█████     | 1/2 [03:27<03:27, 207.07s/it]             2026-06-20 13:09:41.902 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 152, train_steps: 6080
+Global Step 151: training: 100%|██████████| 2/2 [06:58<00:00, 209.12s/it]0, 10.32s/it]
+2026-06-20 13:09:42.505 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 152	train_steps 6080	{'step': '152/10000', 'learning_rate': '0.00001000', 'loss': '-1.932e-08', 'grad_norm': '0.00606341', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.55490112', 'grpo_loop_time': '418.24291992', 'ref_model_time': '114.40625000', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86779678', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06594546', 'token_credit_video_advantage_mean': '1.350e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.459e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.119e-08', 'kl_loss': '0.00717775', 'kl_moving': '0.00717776', 'kl_stepwise': '-1.941e-08', 'gathered_avg_reward_mean': '-0.06594546', 'gathered_avg_reward_std': '0.06578959', 'gathered_vlm_logprob_reward_mean': '-0.06594546', 'gathered_vlm_logprob_reward_std': '0.06578960', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06594546', 'gathered_vlm_token_credit_reward_std': '0.06578960', 'gathered_vlm_yes_no_margin_reward_mean': '3.90429711', 'gathered_vlm_yes_no_margin_reward_std': '0.73070973', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.06594546', 'gathered_ori_avg_reward_std': '0.06578960'}
+2026-06-20 13:09:42.595 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 13:09:42.674 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 13:09:42.715 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:09:42.761 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 13:10:49.217 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000152/group_0/index_2212_seed_5570_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 13:10:54.000 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:11:11.437 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:11:11.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:11:11.447 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-20 13:12:20.583 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000152/group_0/index_2212_seed_5571_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 13:12:25.351 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:12:43.085 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:12:43.910 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 13:12:43.974 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 13:12:44.814 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.93s/it]
+2026-06-20 13:14:38.763 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.79s (1.90min)
+2026-06-20 13:14:39.492 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 13:16:38.551 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 152: training:  50%|█████     | 1/2 [03:27<03:27, 207.62s/it]             2026-06-20 13:23:37.212 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 153, train_steps: 6120
+Global Step 152: training: 100%|██████████| 2/2 [06:58<00:00, 209.33s/it]0, 10.31s/it]
+2026-06-20 13:23:37.816 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 153	train_steps 6120	{'step': '153/10000', 'learning_rate': '0.00001000', 'loss': '3.725e-08', 'grad_norm': '0.00709395', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.84884644', 'grpo_loop_time': '418.65380859', 'ref_model_time': '113.79332733', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85012805', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08863109', 'token_credit_video_advantage_mean': '-5.588e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.421e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '3.725e-08', 'kl_loss': '0.00852928', 'kl_moving': '0.00852928', 'kl_stepwise': '-1.904e-08', 'gathered_avg_reward_mean': '-0.08863109', 'gathered_avg_reward_std': '0.07998916', 'gathered_vlm_logprob_reward_mean': '-0.08863109', 'gathered_vlm_logprob_reward_std': '0.07998916', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08863109', 'gathered_vlm_token_credit_reward_std': '0.07998916', 'gathered_vlm_yes_no_margin_reward_mean': '3.70039082', 'gathered_vlm_yes_no_margin_reward_std': '0.82688576', 'gathered_vlm_yes_ratio_reward_mean': '0.97812504', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08863109', 'gathered_ori_avg_reward_std': '0.07998916'}
+2026-06-20 13:23:38.091 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 13:23:38.180 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 13:23:38.215 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:23:38.262 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.92s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-20 13:24:45.240 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000153/group_0/index_9823_seed_31536_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 13:24:50.061 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:25:08.025 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:25:08.035 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:25:08.035 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-20 13:26:15.224 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000153/group_0/index_9823_seed_31537_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 13:26:20.159 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:26:38.118 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:26:40.127 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 13:26:40.164 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 13:26:41.204 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.45s/it]
+2026-06-20 13:28:34.747 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.39s (1.89min)
+2026-06-20 13:28:35.473 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 13:30:32.907 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 153: training:  50%|█████     | 1/2 [03:27<03:27, 207.77s/it]             2026-06-20 13:37:31.695 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 154, train_steps: 6160
+Global Step 153: training: 100%|██████████| 2/2 [06:58<00:00, 209.39s/it]0, 10.31s/it]
+2026-06-20 13:37:32.335 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 154	train_steps 6160	{'step': '154/10000', 'learning_rate': '0.00001000', 'loss': '-8.941e-08', 'grad_norm': '0.01849215', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.33364868', 'grpo_loop_time': '418.78051758', 'ref_model_time': '113.38813782', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86436224', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10890596', 'token_credit_video_advantage_mean': '4.889e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.461e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-9.034e-08', 'kl_loss': '0.00795973', 'kl_moving': '0.00795973', 'kl_stepwise': '-2.048e-08', 'gathered_avg_reward_mean': '-0.10890596', 'gathered_avg_reward_std': '0.10051517', 'gathered_vlm_logprob_reward_mean': '-0.10890596', 'gathered_vlm_logprob_reward_std': '0.10051516', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10890596', 'gathered_vlm_token_credit_reward_std': '0.10051516', 'gathered_vlm_yes_no_margin_reward_mean': '3.73046875', 'gathered_vlm_yes_no_margin_reward_std': '0.82486343', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.08472151', 'gathered_ori_avg_reward_mean': '-0.10890596', 'gathered_ori_avg_reward_std': '0.10051516'}
+2026-06-20 13:37:32.391 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 13:37:32.479 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 13:37:32.519 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:37:32.560 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 13:38:38.807 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000154/group_0/index_2876_seed_14120_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 13:38:42.651 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:39:00.352 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:39:00.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:39:00.362 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.09s/it][01:01<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.09s/it]
+2026-06-20 13:40:09.565 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000154/group_0/index_2876_seed_14121_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 13:40:14.834 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:40:33.259 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:40:33.788 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 13:40:33.891 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 13:40:34.716 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.90s/it]
+2026-06-20 13:42:29.329 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.47s (1.91min)
+2026-06-20 13:42:30.062 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 13:44:27.163 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 154: training:  50%|█████     | 1/2 [03:27<03:27, 207.04s/it]             2026-06-20 13:51:24.977 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 155, train_steps: 6200
+Global Step 154: training: 100%|██████████| 2/2 [06:57<00:00, 208.91s/it]0, 10.31s/it]
+2026-06-20 13:51:25.640 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 155	train_steps 6200	{'step': '155/10000', 'learning_rate': '0.00001000', 'loss': '2.235e-08', 'grad_norm': '0.00763913', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.62402344', 'grpo_loop_time': '417.81201172', 'ref_model_time': '114.46939850', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85608476', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09163478', 'token_credit_video_advantage_mean': '-1.327e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.434e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.235e-08', 'kl_loss': '0.00854032', 'kl_moving': '0.00854032', 'kl_stepwise': '-1.884e-08', 'gathered_avg_reward_mean': '-0.09163478', 'gathered_avg_reward_std': '0.08706207', 'gathered_vlm_logprob_reward_mean': '-0.09163478', 'gathered_vlm_logprob_reward_std': '0.08706207', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09163478', 'gathered_vlm_token_credit_reward_std': '0.08706207', 'gathered_vlm_yes_no_margin_reward_mean': '3.71914077', 'gathered_vlm_yes_no_margin_reward_std': '0.84155667', 'gathered_vlm_yes_ratio_reward_mean': '0.96562499', 'gathered_vlm_yes_ratio_reward_std': '0.07545436', 'gathered_ori_avg_reward_mean': '-0.09163478', 'gathered_ori_avg_reward_std': '0.08706207'}
+2026-06-20 13:51:25.699 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 13:51:25.791 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 13:51:25.838 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:51:25.883 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 13:52:32.177 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000155/group_0/index_8512_seed_14125_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 13:52:36.938 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:52:54.863 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:52:54.873 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 13:52:54.874 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.95s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.95s/it]
+2026-06-20 13:54:01.404 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000155/group_0/index_8512_seed_14126_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 13:54:05.235 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 13:54:23.343 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 13:54:24.446 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 13:54:24.520 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 13:54:25.403 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.39s/it]
+2026-06-20 13:56:19.128 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.63s (1.89min)
+2026-06-20 13:56:19.859 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 13:58:16.750 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 155: training:  50%|█████     | 1/2 [03:27<03:27, 207.44s/it]             2026-06-20 14:05:15.345 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 156, train_steps: 6240
+Global Step 155: training: 100%|██████████| 2/2 [06:58<00:00, 209.29s/it]0, 10.34s/it]
+2026-06-20 14:05:15.927 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 156	train_steps 6240	{'step': '156/10000', 'learning_rate': '0.00001000', 'loss': '2.980e-08', 'grad_norm': '0.00906376', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.11245728', 'grpo_loop_time': '418.59082031', 'ref_model_time': '113.62732697', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88073987', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05630403', 'token_credit_video_advantage_mean': '-1.118e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.415e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.980e-08', 'kl_loss': '0.00928130', 'kl_moving': '0.00928130', 'kl_stepwise': '-1.884e-08', 'gathered_avg_reward_mean': '-0.05630403', 'gathered_avg_reward_std': '0.06947832', 'gathered_vlm_logprob_reward_mean': '-0.05630403', 'gathered_vlm_logprob_reward_std': '0.06947832', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05630403', 'gathered_vlm_token_credit_reward_std': '0.06947832', 'gathered_vlm_yes_no_margin_reward_mean': '4.10156250', 'gathered_vlm_yes_no_margin_reward_std': '0.78156090', 'gathered_vlm_yes_ratio_reward_mean': '0.98437500', 'gathered_vlm_yes_ratio_reward_std': '0.05367363', 'gathered_ori_avg_reward_mean': '-0.05630403', 'gathered_ori_avg_reward_std': '0.06947832'}
+2026-06-20 14:05:16.032 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 14:05:16.112 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 14:05:16.170 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:05:16.219 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.92s/it][00:58<00:00,  2.91s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.92s/it]
+2026-06-20 14:06:22.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000156/group_0/index_211_seed_8980_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 14:06:27.770 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:06:45.149 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:06:45.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:06:45.159 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.97s/it][00:59<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.97s/it]
+2026-06-20 14:07:51.941 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000156/group_0/index_211_seed_8981_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 14:07:55.686 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:08:13.152 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:08:15.931 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 14:08:16.043 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 14:08:16.846 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.49s/it]
+2026-06-20 14:10:11.721 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.74s (1.91min)
+2026-06-20 14:10:12.457 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 14:12:11.104 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 156: training:  50%|█████     | 1/2 [03:29<03:29, 209.97s/it]             2026-06-20 14:19:12.233 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 157, train_steps: 6280
+Global Step 156: training: 100%|██████████| 2/2 [07:01<00:00, 210.56s/it]0, 10.33s/it]
+2026-06-20 14:19:12.807 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 157	train_steps 6280	{'step': '157/10000', 'learning_rate': '0.00001000', 'loss': '2.765e-08', 'grad_norm': '0.00480652', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.37802124', 'grpo_loop_time': '421.12054443', 'ref_model_time': '114.74037170', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85859132', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05545114', 'token_credit_video_advantage_mean': '-1.118e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.393e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.672e-08', 'kl_loss': '0.00775559', 'kl_moving': '0.00775559', 'kl_stepwise': '-1.923e-08', 'gathered_avg_reward_mean': '-0.05545114', 'gathered_avg_reward_std': '0.07482380', 'gathered_vlm_logprob_reward_mean': '-0.05545114', 'gathered_vlm_logprob_reward_std': '0.07482380', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05545114', 'gathered_vlm_token_credit_reward_std': '0.07482380', 'gathered_vlm_yes_no_margin_reward_mean': '4.09414053', 'gathered_vlm_yes_no_margin_reward_std': '0.72451144', 'gathered_vlm_yes_ratio_reward_mean': '0.99374998', 'gathered_vlm_yes_ratio_reward_std': '0.03479853', 'gathered_ori_avg_reward_mean': '-0.05545114', 'gathered_ori_avg_reward_std': '0.07482380'}
+2026-06-20 14:19:12.922 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 14:19:13.001 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 14:19:13.045 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:19:13.092 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 14:20:19.419 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000157/group_0/index_9845_seed_20996_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 14:20:24.580 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:20:41.731 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:20:41.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:20:41.741 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-06-20 14:21:48.161 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000157/group_0/index_9845_seed_20997_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 14:21:52.895 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:22:10.241 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:22:12.398 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 14:22:12.454 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 14:22:13.413 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.40s/it]
+2026-06-20 14:24:08.967 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.22s (1.92min)
+2026-06-20 14:24:09.689 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 14:26:09.904 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 157: training:  50%|█████     | 1/2 [03:29<03:29, 209.77s/it]             2026-06-20 14:33:10.824 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 158, train_steps: 6320
+Global Step 157: training: 100%|██████████| 2/2 [07:00<00:00, 210.44s/it]0, 10.30s/it]
+2026-06-20 14:33:11.404 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 158	train_steps 6320	{'step': '158/10000', 'learning_rate': '0.00001000', 'loss': '8.568e-08', 'grad_norm': '0.00769754', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.71972656', 'grpo_loop_time': '420.88796997', 'ref_model_time': '115.21826935', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84135151', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08804785', 'token_credit_video_advantage_mean': '-5.169e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.455e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '8.382e-08', 'kl_loss': '0.00954848', 'kl_moving': '0.00954848', 'kl_stepwise': '-1.978e-08', 'gathered_avg_reward_mean': '-0.08804786', 'gathered_avg_reward_std': '0.10380937', 'gathered_vlm_logprob_reward_mean': '-0.08804786', 'gathered_vlm_logprob_reward_std': '0.10380937', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08804786', 'gathered_vlm_token_credit_reward_std': '0.10380937', 'gathered_vlm_yes_no_margin_reward_mean': '3.95117188', 'gathered_vlm_yes_no_margin_reward_std': '0.96467322', 'gathered_vlm_yes_ratio_reward_mean': '0.97812498', 'gathered_vlm_yes_ratio_reward_std': '0.06242183', 'gathered_ori_avg_reward_mean': '-0.08804786', 'gathered_ori_avg_reward_std': '0.10380937'}
+2026-06-20 14:33:11.516 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 14:33:11.596 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 14:33:11.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:33:11.685 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 14:34:17.823 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000158/group_0/index_6871_seed_32862_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 14:34:22.684 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:34:40.187 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:34:40.197 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:34:40.197 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.98s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.98s/it]
+2026-06-20 14:35:47.379 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000158/group_0/index_6871_seed_32863_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 14:35:52.148 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:36:09.871 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:36:10.935 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 14:36:10.973 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 14:36:11.941 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-20 14:38:07.056 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.88s (1.91min)
+2026-06-20 14:38:07.784 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 14:40:05.257 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 158: training:  50%|█████     | 1/2 [03:28<03:28, 208.18s/it]             2026-06-20 14:47:04.576 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 159, train_steps: 6360
+Global Step 158: training: 100%|██████████| 2/2 [06:59<00:00, 209.64s/it]0, 10.32s/it]
+2026-06-20 14:47:05.238 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 159	train_steps 6360	{'step': '159/10000', 'learning_rate': '0.00001000', 'loss': '1.062e-07', 'grad_norm': '0.00651172', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.22113037', 'grpo_loop_time': '419.29003906', 'ref_model_time': '114.88168335', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87004620', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10413375', 'token_credit_video_advantage_mean': '-6.054e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.479e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.062e-07', 'kl_loss': '0.00887895', 'kl_moving': '0.00887895', 'kl_stepwise': '-1.950e-08', 'gathered_avg_reward_mean': '-0.10413375', 'gathered_avg_reward_std': '0.11022316', 'gathered_vlm_logprob_reward_mean': '-0.10413375', 'gathered_vlm_logprob_reward_std': '0.11022316', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10413375', 'gathered_vlm_token_credit_reward_std': '0.11022316', 'gathered_vlm_yes_no_margin_reward_mean': '3.87617183', 'gathered_vlm_yes_no_margin_reward_std': '0.68109858', 'gathered_vlm_yes_ratio_reward_mean': '0.95312500', 'gathered_vlm_yes_ratio_reward_std': '0.09837548', 'gathered_ori_avg_reward_mean': '-0.10413375', 'gathered_ori_avg_reward_std': '0.11022316'}
+2026-06-20 14:47:05.290 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 14:47:05.379 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 14:47:05.423 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:47:05.485 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 14:48:11.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000159/group_0/index_118_seed_28482_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 14:48:16.309 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:48:34.028 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:48:34.039 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 14:48:34.040 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-20 14:49:40.425 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000159/group_0/index_118_seed_28483_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 14:49:44.090 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 14:50:01.990 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 14:50:04.048 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 14:50:04.171 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 14:50:05.285 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.20s/it]
+2026-06-20 14:51:59.192 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.86s (1.90min)
+2026-06-20 14:51:59.929 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 14:53:57.322 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 159: training:  50%|█████     | 1/2 [03:30<03:30, 210.57s/it]             2026-06-20 15:00:59.181 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 160, train_steps: 6400
+Global Step 159: training: 100%|██████████| 2/2 [07:01<00:00, 210.93s/it]0, 10.31s/it]
+2026-06-20 15:00:59.812 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 160	train_steps 6400	{'step': '160/10000', 'learning_rate': '0.00001000', 'loss': '9.406e-08', 'grad_norm': '0.00747066', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.59161377', 'grpo_loop_time': '421.85671997', 'ref_model_time': '113.86388397', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85957170', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.07732840', 'token_credit_video_advantage_mean': '-5.774e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.442e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '9.220e-08', 'kl_loss': '0.01005865', 'kl_moving': '0.01005866', 'kl_stepwise': '-1.954e-08', 'gathered_avg_reward_mean': '-0.07732839', 'gathered_avg_reward_std': '0.09708148', 'gathered_vlm_logprob_reward_mean': '-0.07732838', 'gathered_vlm_logprob_reward_std': '0.09708147', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.07732838', 'gathered_vlm_token_credit_reward_std': '0.09708147', 'gathered_vlm_yes_no_margin_reward_mean': '4.02031231', 'gathered_vlm_yes_no_margin_reward_std': '1.02470338', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829612', 'gathered_ori_avg_reward_mean': '-0.07732838', 'gathered_ori_avg_reward_std': '0.09708147'}
+2026-06-20 15:01:36.848 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=160 (missing=0, unexpected=0)
+2026-06-20 15:01:39.304 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 15:01:39.408 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 15:01:39.452 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:01:39.520 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.95s/it][00:59<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.95s/it]
+2026-06-20 15:02:47.005 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000160/group_0/index_4677_seed_31510_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 15:02:50.252 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:03:07.777 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:03:07.787 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:03:07.788 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.19s/it][01:03<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.19s/it]
+2026-06-20 15:04:19.202 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000160/group_0/index_4677_seed_31511_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 15:04:22.439 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:04:40.129 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:04:42.879 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 15:04:42.966 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 15:04:43.922 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.18s/it]
+2026-06-20 15:06:37.408 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.48s (1.89min)
+2026-06-20 15:06:38.136 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 15:08:38.304 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 160: training:  50%|█████     | 1/2 [03:28<03:28, 208.27s/it]             2026-06-20 15:15:37.527 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 161, train_steps: 6440
+Global Step 160: training: 100%|██████████| 2/2 [06:59<00:00, 209.61s/it]0, 10.30s/it]
+2026-06-20 15:15:38.092 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 161	train_steps 6440	{'step': '161/10000', 'learning_rate': '0.00001000', 'loss': '2.794e-09', 'grad_norm': '0.01297980', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.78604126', 'grpo_loop_time': '419.22485352', 'ref_model_time': '113.48242188', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86355388', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05287837', 'token_credit_video_advantage_mean': '2.328e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.451e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '2.794e-09', 'kl_loss': '0.00885924', 'kl_moving': '0.00885924', 'kl_stepwise': '-1.858e-08', 'gathered_avg_reward_mean': '-0.05287837', 'gathered_avg_reward_std': '0.07095449', 'gathered_vlm_logprob_reward_mean': '-0.05287837', 'gathered_vlm_logprob_reward_std': '0.07095449', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05287837', 'gathered_vlm_token_credit_reward_std': '0.07095449', 'gathered_vlm_yes_no_margin_reward_mean': '4.11171865', 'gathered_vlm_yes_no_margin_reward_std': '0.84339076', 'gathered_vlm_yes_ratio_reward_mean': '0.99062502', 'gathered_vlm_yes_ratio_reward_std': '0.04227422', 'gathered_ori_avg_reward_mean': '-0.05287837', 'gathered_ori_avg_reward_std': '0.07095449'}
+2026-06-20 15:15:38.205 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 15:15:38.287 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 15:15:38.326 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:15:38.373 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 15:16:44.858 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000161/group_0/index_8624_seed_17155_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 15:16:48.066 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:17:05.390 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:17:05.401 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:17:05.401 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:03,  3.19s/it][01:03<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:03<00:00,  3.19s/it]
+2026-06-20 15:18:16.833 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000161/group_0/index_8624_seed_17156_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 15:18:22.269 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:18:40.051 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:18:40.375 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 15:18:40.469 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 15:18:41.502 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.47s/it]
+2026-06-20 15:20:35.595 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.87s (1.90min)
+2026-06-20 15:20:36.332 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 15:22:36.148 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 161: training:  50%|█████     | 1/2 [03:29<03:29, 209.60s/it]             2026-06-20 15:29:36.904 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 162, train_steps: 6480
+Global Step 161: training: 100%|██████████| 2/2 [07:00<00:00, 210.37s/it]0, 10.32s/it]
+2026-06-20 15:29:37.455 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 162	train_steps 6480	{'step': '162/10000', 'learning_rate': '0.00001000', 'loss': '-8.894e-08', 'grad_norm': '0.00842721', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '298.07922363', 'grpo_loop_time': '420.73672485', 'ref_model_time': '113.87292480', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85623622', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.10246526', 'token_credit_video_advantage_mean': '6.519e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.484e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.894e-08', 'kl_loss': '0.00827775', 'kl_moving': '0.00827775', 'kl_stepwise': '-1.986e-08', 'gathered_avg_reward_mean': '-0.10246526', 'gathered_avg_reward_std': '0.13145308', 'gathered_vlm_logprob_reward_mean': '-0.10246526', 'gathered_vlm_logprob_reward_std': '0.13145308', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.10246526', 'gathered_vlm_token_credit_reward_std': '0.13145308', 'gathered_vlm_yes_no_margin_reward_mean': '3.71054697', 'gathered_vlm_yes_no_margin_reward_std': '0.79342765', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.08076780', 'gathered_ori_avg_reward_mean': '-0.10246526', 'gathered_ori_avg_reward_std': '0.13145308'}
+2026-06-20 15:29:37.567 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 15:29:37.650 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 15:29:37.681 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:29:37.724 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 15:30:44.170 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000162/group_0/index_3190_seed_19671_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 15:30:47.976 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:31:05.699 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:31:05.709 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:31:05.710 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.94s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.94s/it]
+2026-06-20 15:32:12.176 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000162/group_0/index_3190_seed_19672_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 15:32:15.528 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:32:33.333 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:32:37.443 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 15:32:37.457 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 15:32:38.486 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-06-20 15:34:33.099 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.48s (1.91min)
+2026-06-20 15:34:33.827 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 15:36:31.319 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 162: training:  50%|█████     | 1/2 [03:28<03:28, 208.07s/it]             2026-06-20 15:43:31.487 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 163, train_steps: 6520
+Global Step 162: training: 100%|██████████| 2/2 [07:00<00:00, 210.08s/it]0, 10.41s/it]
+2026-06-20 15:43:32.063 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 163	train_steps 6520	{'step': '163/10000', 'learning_rate': '0.00001000', 'loss': '-1.327e-07', 'grad_norm': '0.00800255', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.21337891', 'grpo_loop_time': '420.16412354', 'ref_model_time': '114.47763824', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87333959', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09629103', 'token_credit_video_advantage_mean': '7.823e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.446e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.327e-07', 'kl_loss': '0.00836776', 'kl_moving': '0.00836776', 'kl_stepwise': '-1.888e-08', 'gathered_avg_reward_mean': '-0.09629104', 'gathered_avg_reward_std': '0.08453672', 'gathered_vlm_logprob_reward_mean': '-0.09629104', 'gathered_vlm_logprob_reward_std': '0.08453672', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09629104', 'gathered_vlm_token_credit_reward_std': '0.08453672', 'gathered_vlm_yes_no_margin_reward_mean': '3.64453125', 'gathered_vlm_yes_no_margin_reward_std': '0.88998848', 'gathered_vlm_yes_ratio_reward_mean': '0.95624995', 'gathered_vlm_yes_ratio_reward_std': '0.08267973', 'gathered_ori_avg_reward_mean': '-0.09629104', 'gathered_ori_avg_reward_std': '0.08453672'}
+2026-06-20 15:43:32.169 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 15:43:32.253 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 15:43:32.278 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:43:32.325 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 15:44:38.851 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000163/group_0/index_1399_seed_15704_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 15:44:42.276 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:44:59.703 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:44:59.713 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:44:59.716 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.89s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 15:46:09.585 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000163/group_0/index_1399_seed_15705_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 15:46:12.835 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:46:30.442 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:46:33.676 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 15:46:33.698 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 15:46:34.739 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.21s/it]
+2026-06-20 15:48:29.208 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.47s (1.91min)
+2026-06-20 15:48:29.934 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 15:50:26.538 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 163: training:  50%|█████     | 1/2 [03:27<03:27, 207.13s/it]             2026-06-20 15:57:25.508 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 164, train_steps: 6560
+Global Step 163: training: 100%|██████████| 2/2 [06:58<00:00, 209.48s/it]0, 10.41s/it]
+2026-06-20 15:57:26.176 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 164	train_steps 6560	{'step': '164/10000', 'learning_rate': '0.00001000', 'loss': '1.080e-07', 'grad_norm': '0.00695196', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '297.71771240', 'grpo_loop_time': '418.95529175', 'ref_model_time': '114.46777344', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86329460', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.05412179', 'token_credit_video_advantage_mean': '-5.867e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.420e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.080e-07', 'kl_loss': '0.00868434', 'kl_moving': '0.00868434', 'kl_stepwise': '-1.883e-08', 'gathered_avg_reward_mean': '-0.05412179', 'gathered_avg_reward_std': '0.07474618', 'gathered_vlm_logprob_reward_mean': '-0.05412179', 'gathered_vlm_logprob_reward_std': '0.07474618', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.05412179', 'gathered_vlm_token_credit_reward_std': '0.07474618', 'gathered_vlm_yes_no_margin_reward_mean': '4.15859365', 'gathered_vlm_yes_no_margin_reward_std': '0.92542446', 'gathered_vlm_yes_ratio_reward_mean': '0.98750001', 'gathered_vlm_yes_ratio_reward_std': '0.04841230', 'gathered_ori_avg_reward_mean': '-0.05412179', 'gathered_ori_avg_reward_std': '0.07474618'}
+2026-06-20 15:57:26.227 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 15:57:26.314 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 15:57:26.348 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:57:26.393 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.89s/it][00:57<00:00,  2.88s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.89s/it]
+2026-06-20 15:58:32.693 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000164/group_0/index_2623_seed_17235_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 15:58:37.961 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 15:58:55.442 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 15:58:55.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 15:58:55.451 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.99s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.99s/it]
+2026-06-20 16:00:02.712 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000164/group_0/index_2623_seed_17236_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 16:00:06.517 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:00:24.076 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:00:26.401 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 16:00:26.489 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 16:00:27.454 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:37<00:00, 48.55s/it]
+2026-06-20 16:02:21.063 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.61s (1.89min)
+2026-06-20 16:02:21.793 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 16:04:18.345 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 164: training:  50%|█████     | 1/2 [03:27<03:27, 207.52s/it]             2026-06-20 16:11:18.370 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 165, train_steps: 6600
+Global Step 164: training: 100%|██████████| 2/2 [07:00<00:00, 210.01s/it]0, 10.44s/it]
+2026-06-20 16:11:19.030 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 165	train_steps 6600	{'step': '165/10000', 'learning_rate': '0.00001000', 'loss': '-6.706e-08', 'grad_norm': '0.00800876', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.51876831', 'grpo_loop_time': '420.02435303', 'ref_model_time': '113.60586548', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.84407270', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.09652632', 'token_credit_video_advantage_mean': '4.494e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.456e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-7.078e-08', 'kl_loss': '0.00805900', 'kl_moving': '0.00805900', 'kl_stepwise': '-1.968e-08', 'gathered_avg_reward_mean': '-0.09652631', 'gathered_avg_reward_std': '0.11709736', 'gathered_vlm_logprob_reward_mean': '-0.09652630', 'gathered_vlm_logprob_reward_std': '0.11709736', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.09652630', 'gathered_vlm_token_credit_reward_std': '0.11709736', 'gathered_vlm_yes_no_margin_reward_mean': '3.60390615', 'gathered_vlm_yes_no_margin_reward_std': '1.03562737', 'gathered_vlm_yes_ratio_reward_mean': '0.98124999', 'gathered_vlm_yes_ratio_reward_std': '0.05829611', 'gathered_ori_avg_reward_mean': '-0.09652630', 'gathered_ori_avg_reward_std': '0.11709736'}
+2026-06-20 16:11:19.084 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 16:11:19.182 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 16:11:19.222 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:11:19.266 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 16:12:27.054 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000165/group_0/index_5670_seed_16870_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 16:12:30.429 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:12:48.127 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:12:48.137 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:12:48.140 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  2.96s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  2.96s/it]
+2026-06-20 16:13:54.991 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000165/group_0/index_5670_seed_16871_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 16:14:00.299 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:14:19.094 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:14:19.105 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 16:14:19.117 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 16:14:20.389 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.15s/it]
+2026-06-20 16:16:14.144 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.75s (1.90min)
+2026-06-20 16:16:14.870 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 16:18:14.127 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 165: training:  50%|█████     | 1/2 [03:27<03:27, 207.63s/it]             2026-06-20 16:25:13.928 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 166, train_steps: 6640
+Global Step 165: training: 100%|██████████| 2/2 [06:59<00:00, 209.90s/it]0, 10.42s/it]
+2026-06-20 16:25:14.567 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 166	train_steps 6640	{'step': '166/10000', 'learning_rate': '0.00001000', 'loss': '9.313e-09', 'grad_norm': '0.01074710', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.73828125', 'grpo_loop_time': '419.80197144', 'ref_model_time': '113.75351715', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88183355', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08835872', 'token_credit_video_advantage_mean': '0.00000000', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.369e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.863e-09', 'kl_loss': '0.00853453', 'kl_moving': '0.00853453', 'kl_stepwise': '-1.847e-08', 'gathered_avg_reward_mean': '-0.08835872', 'gathered_avg_reward_std': '0.08393134', 'gathered_vlm_logprob_reward_mean': '-0.08835871', 'gathered_vlm_logprob_reward_std': '0.08393134', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08835871', 'gathered_vlm_token_credit_reward_std': '0.08393134', 'gathered_vlm_yes_no_margin_reward_mean': '3.71171880', 'gathered_vlm_yes_no_margin_reward_std': '0.95019495', 'gathered_vlm_yes_ratio_reward_mean': '0.97500002', 'gathered_vlm_yes_ratio_reward_std': '0.06614378', 'gathered_ori_avg_reward_mean': '-0.08835871', 'gathered_ori_avg_reward_std': '0.08393134'}
+2026-06-20 16:25:14.618 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 16:25:14.708 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 16:25:14.754 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:25:14.800 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 16:26:21.489 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000166/group_0/index_9254_seed_15485_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 16:26:25.090 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:26:42.676 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:26:42.687 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:26:42.687 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:00,  3.01s/it][01:00<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:00<00:00,  3.01s/it]
+2026-06-20 16:27:50.199 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000166/group_0/index_9254_seed_15486_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 16:27:53.511 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:28:11.344 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:28:13.831 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 16:28:13.891 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 16:28:15.002 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-06-20 16:30:08.844 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.78s (1.90min)
+2026-06-20 16:30:09.574 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 16:32:10.308 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 166: training:  50%|█████     | 1/2 [03:30<03:30, 210.25s/it]             2026-06-20 16:39:12.154 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 167, train_steps: 6680
+Global Step 166: training: 100%|██████████| 2/2 [07:01<00:00, 210.92s/it]0, 10.33s/it]
+2026-06-20 16:39:12.796 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 167	train_steps 6680	{'step': '167/10000', 'learning_rate': '0.00001000', 'loss': '-4.470e-08', 'grad_norm': '0.00960972', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '294.90963745', 'grpo_loop_time': '421.83789062', 'ref_model_time': '113.77954865', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.85634297', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.06212732', 'token_credit_video_advantage_mean': '1.770e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.470e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-4.470e-08', 'kl_loss': '0.00885386', 'kl_moving': '0.00885386', 'kl_stepwise': '-1.974e-08', 'gathered_avg_reward_mean': '-0.06212731', 'gathered_avg_reward_std': '0.07918267', 'gathered_vlm_logprob_reward_mean': '-0.06212732', 'gathered_vlm_logprob_reward_std': '0.07918267', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.06212732', 'gathered_vlm_token_credit_reward_std': '0.07918267', 'gathered_vlm_yes_no_margin_reward_mean': '4.03085899', 'gathered_vlm_yes_no_margin_reward_std': '0.95654345', 'gathered_vlm_yes_ratio_reward_mean': '0.99062502', 'gathered_vlm_yes_ratio_reward_std': '0.04227421', 'gathered_ori_avg_reward_mean': '-0.06212732', 'gathered_ori_avg_reward_std': '0.07918267'}
+2026-06-20 16:39:12.846 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 16:39:12.936 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 16:39:12.975 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:39:13.016 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 16:40:19.708 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000167/group_0/index_6713_seed_23219_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 16:40:24.950 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:40:42.679 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:40:42.689 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:40:42.689 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 16:41:48.333 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000167/group_0/index_6713_seed_23220_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 16:41:53.304 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:42:11.316 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:42:12.094 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 16:42:12.184 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 16:42:13.279 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.32s/it]
+2026-06-20 16:44:08.745 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.36s (1.92min)
+2026-06-20 16:44:09.477 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 16:46:10.020 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 167: training:  50%|█████     | 1/2 [03:30<03:30, 210.25s/it]             2026-06-20 16:53:11.378 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 168, train_steps: 6720
+Global Step 167: training: 100%|██████████| 2/2 [07:01<00:00, 210.67s/it]0, 10.32s/it]
+2026-06-20 16:53:12.037 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 168	train_steps 6720	{'step': '168/10000', 'learning_rate': '0.00001000', 'loss': '-8.941e-08', 'grad_norm': '0.01088963', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.58346558', 'grpo_loop_time': '421.34082031', 'ref_model_time': '115.36151123', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.88236266', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.08873732', 'token_credit_video_advantage_mean': '4.191e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.431e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-8.941e-08', 'kl_loss': '0.00916692', 'kl_moving': '0.00916692', 'kl_stepwise': '-1.986e-08', 'gathered_avg_reward_mean': '-0.08873732', 'gathered_avg_reward_std': '0.10235753', 'gathered_vlm_logprob_reward_mean': '-0.08873732', 'gathered_vlm_logprob_reward_std': '0.10235754', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.08873732', 'gathered_vlm_token_credit_reward_std': '0.10235754', 'gathered_vlm_yes_no_margin_reward_mean': '3.94921875', 'gathered_vlm_yes_no_margin_reward_std': '1.07166064', 'gathered_vlm_yes_ratio_reward_mean': '0.96875000', 'gathered_vlm_yes_ratio_reward_std': '0.07261845', 'gathered_ori_avg_reward_mean': '-0.08873732', 'gathered_ori_avg_reward_std': '0.10235754'}
+2026-06-20 16:53:12.088 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 16:53:12.177 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 16:53:12.227 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:53:12.274 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 16:54:18.715 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000168/group_0/index_6348_seed_27062_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 16:54:22.636 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:54:40.150 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:54:40.161 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 16:54:40.161 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:59,  3.00s/it][00:59<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:59<00:00,  3.00s/it]
+2026-06-20 16:55:47.775 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000168/group_0/index_6348_seed_27063_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 16:55:53.273 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 16:56:11.086 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 16:56:11.767 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 16:56:11.862 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 16:56:12.694 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.43s/it]
+2026-06-20 16:58:07.735 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 114.91s (1.92min)
+2026-06-20 16:58:08.464 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 17:00:07.580 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 168: training:  50%|█████     | 1/2 [03:29<03:29, 209.93s/it]             2026-06-20 17:07:09.182 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 169, train_steps: 6760
+Global Step 168: training: 100%|██████████| 2/2 [07:01<00:00, 210.80s/it]0, 10.34s/it]
+2026-06-20 17:07:09.824 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 169	train_steps 6760	{'step': '169/10000', 'learning_rate': '0.00001000', 'loss': '-2.049e-08', 'grad_norm': '0.01344820', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '296.32904053', 'grpo_loop_time': '421.59814453', 'ref_model_time': '114.90805054', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.87644929', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.04900989', 'token_credit_video_advantage_mean': '5.588e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.489e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-2.049e-08', 'kl_loss': '0.00979243', 'kl_moving': '0.00979243', 'kl_stepwise': '-1.999e-08', 'gathered_avg_reward_mean': '-0.04900989', 'gathered_avg_reward_std': '0.03358741', 'gathered_vlm_logprob_reward_mean': '-0.04900989', 'gathered_vlm_logprob_reward_std': '0.03358741', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.04900989', 'gathered_vlm_token_credit_reward_std': '0.03358741', 'gathered_vlm_yes_no_margin_reward_mean': '3.95429707', 'gathered_vlm_yes_no_margin_reward_std': '0.53539842', 'gathered_vlm_yes_ratio_reward_mean': '1.00000000', 'gathered_vlm_yes_ratio_reward_std': '0.00000000', 'gathered_ori_avg_reward_mean': '-0.04900989', 'gathered_ori_avg_reward_std': '0.03358741'}
+2026-06-20 17:07:09.876 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 17:07:09.965 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 17:07:10.040 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:07:10.147 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.90s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.90s/it]
+2026-06-20 17:08:16.680 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000169/group_0/index_2266_seed_11959_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 17:08:20.921 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:08:38.905 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:08:38.916 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:08:38.916 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:01,  3.08s/it][01:01<00:00,  2.90s/it]
+100%|██████████| 20/20 [01:01<00:00,  3.08s/it]
+2026-06-20 17:09:47.912 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000169/group_0/index_2266_seed_11960_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 17:09:53.322 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:10:11.893 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:10:11.903 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 17:10:11.915 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 17:10:12.884 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.36s/it]
+2026-06-20 17:12:08.254 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 115.20s (1.92min)
+2026-06-20 17:12:08.969 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 17:14:09.319 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 169: training:  50%|█████     | 1/2 [03:30<03:30, 210.36s/it]             2026-06-20 17:21:11.043 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 170, train_steps: 6800
+Global Step 169: training: 100%|██████████| 2/2 [07:01<00:00, 210.86s/it]0, 10.33s/it]
+2026-06-20 17:21:11.611 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 170	train_steps 6800	{'step': '170/10000', 'learning_rate': '0.00001000', 'loss': '1.157e-07', 'grad_norm': '0.00821551', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '299.04611206', 'grpo_loop_time': '421.72515869', 'ref_model_time': '115.20393372', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86705786', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.12237154', 'token_credit_video_advantage_mean': '-7.171e-08', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.418e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '1.157e-07', 'kl_loss': '0.00861739', 'kl_moving': '0.00861739', 'kl_stepwise': '-1.892e-08', 'gathered_avg_reward_mean': '-0.12237155', 'gathered_avg_reward_std': '0.10909487', 'gathered_vlm_logprob_reward_mean': '-0.12237154', 'gathered_vlm_logprob_reward_std': '0.10909487', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.12237154', 'gathered_vlm_token_credit_reward_std': '0.10909487', 'gathered_vlm_yes_no_margin_reward_mean': '3.50898433', 'gathered_vlm_yes_no_margin_reward_std': '0.83104295', 'gathered_vlm_yes_ratio_reward_mean': '0.94687498', 'gathered_vlm_yes_ratio_reward_std': '0.09514586', 'gathered_ori_avg_reward_mean': '-0.12237154', 'gathered_ori_avg_reward_std': '0.10909487'}
+2026-06-20 17:21:47.169 | INFO     | __main__:maybe_update_ref_model_for_kl:801 - [Moving KL] Updated ref_model at update_step=170 (missing=0, unexpected=0)
+2026-06-20 17:21:49.218 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 17:21:49.299 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 17:21:49.377 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:21:49.444 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.93s/it][00:58<00:00,  2.89s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.93s/it]
+2026-06-20 17:22:56.784 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000170/group_0/index_4261_seed_6135_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 17:23:01.582 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:23:20.328 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:23:20.337 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:23:20.338 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:57,  2.90s/it][00:57<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:57<00:00,  2.90s/it]
+2026-06-20 17:24:25.974 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000170/group_0/index_4261_seed_6136_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 17:24:30.804 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:24:49.915 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:24:49.925 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 17:24:49.937 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 17:24:50.838 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.42s/it]
+2026-06-20 17:26:44.023 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 113.05s (1.88min)
+2026-06-20 17:26:44.742 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
+2026-06-20 17:28:41.425 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2941 - [All Timesteps] Training on timesteps: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
+Global Step 170: training:  50%|█████     | 1/2 [03:26<03:26, 206.75s/it]             2026-06-20 17:35:39.729 | INFO     | hyvideo.utils.grpo_utils:train_one_step:3585 - Rank 0, sp_rank 0: update step: 171, train_steps: 6840
+Global Step 170: training: 100%|██████████| 2/2 [06:58<00:00, 209.16s/it]0, 10.32s/it]
+2026-06-20 17:35:40.302 | INFO     | __main__:_log_progress_step:2105 - Training Progress: update_steps 171	train_steps 6840	{'step': '171/10000', 'learning_rate': '0.00001000', 'loss': '-1.630e-08', 'grad_norm': '0.01023179', 'KL_weight': '1.000e-07', 'param_delta_mean': '0.00000000', 'param_delta_max': '0.00000000', 'rollout_time': '295.47760010', 'grpo_loop_time': '418.31820679', 'ref_model_time': '113.04618835', 'token_credit_ratio_mean': '1.00000000', 'token_credit_advantage_abs_mean': '0.86425239', 'token_credit_question_count': '5.00000000', 'token_credit_video_logprob_reward_mean': '-0.15452801', 'token_credit_video_advantage_mean': '-3.027e-09', 'token_credit_approx_kl': '0.00000000', 'approx_kl': '1.449e-15', 'clipfrac': '0.00000000', 'clipfrac_gt_one': '0.00000000', 'clipfrac_lt_one': '0.00000000', 'policy_loss': '-1.630e-08', 'kl_loss': '0.00783910', 'kl_moving': '0.00783911', 'kl_stepwise': '-1.884e-08', 'gathered_avg_reward_mean': '-0.15452799', 'gathered_avg_reward_std': '0.19760361', 'gathered_vlm_logprob_reward_mean': '-0.15452799', 'gathered_vlm_logprob_reward_std': '0.19760361', 'gathered_vlm_num_questions_reward_mean': '5.00000000', 'gathered_vlm_num_questions_reward_std': '0.00000000', 'gathered_vlm_token_credit_reward_mean': '-0.15452799', 'gathered_vlm_token_credit_reward_std': '0.19760361', 'gathered_vlm_yes_no_margin_reward_mean': '3.44570327', 'gathered_vlm_yes_no_margin_reward_std': '1.03211665', 'gathered_vlm_yes_ratio_reward_mean': '0.95000005', 'gathered_vlm_yes_ratio_reward_std': '0.09354143', 'gathered_ori_avg_reward_mean': '-0.15452799', 'gathered_ori_avg_reward_std': '0.19760361'}
+2026-06-20 17:35:40.429 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1261 - [ParallelGroups] Rank 0, dp_rank 0: video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, group_idx=0, rank_in_group=0
+2026-06-20 17:35:40.508 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model to cpu before rollout.
+2026-06-20 17:35:40.575 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 1/2 (samples 1-1/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:35:40.641 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [00:58,  2.91s/it][00:58<00:00,  2.90s/it]
+100%|██████████| 20/20 [00:58<00:00,  2.91s/it]
+2026-06-20 17:36:47.305 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000171/group_0/index_8454_seed_19743_dp_0_rank_0_sample_0_slot_0.mp4
+2026-06-20 17:36:52.160 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:37:09.602 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:37:09.614 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1399 - Rank 0 generating batch 2/2 (samples 2-2/2), eta: 0.5, batch_size: 1, 81x352x624, flow_shift: 5.0, infer_steps: 20
+2026-06-20 17:37:09.617 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1424 - Rank 0 using 'all' strategy (no mixgrpo): determistic=False for all timesteps
+20it [01:02,  3.12s/it][01:02<00:00,  2.88s/it]
+100%|██████████| 20/20 [01:02<00:00,  3.12s/it]
+2026-06-20 17:38:19.753 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1571 - Rank 0: Saved video 1/1 to ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/rl_samples/0000171/group_0/index_8454_seed_19744_dp_0_rank_0_sample_1_slot_1.mp4
+2026-06-20 17:38:24.700 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Loaded VLM reward model onto cuda:0 for reward scoring.
+2026-06-20 17:38:42.377 | INFO     | hyvideo.models.reward_models.rewards:_log:1195 - [RewardDebug] Offloaded VLM reward model back to cpu after reward scoring.
+2026-06-20 17:38:42.536 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1033 - [GatherRewards] Rank 0: Using local metric names without global sync: ['avg', 'vlm_logprob', 'vlm_num_questions', 'vlm_token_credit', 'vlm_yes_no_margin', 'vlm_yes_ratio']
+2026-06-20 17:38:42.577 | INFO     | hyvideo.utils.grpo_utils:gather_and_process_rewards:1101 - [GatherRewards] Rank 0 saved 4 entries for group 0
+2026-06-20 17:38:43.640 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1819 - Rank 0: Pre-computing Reference Model statistics (Batch-wise)...
+Processing reference model mini-batches: 100%|██████████| 2/2 [01:36<00:00, 48.38s/it]
+2026-06-20 17:40:36.661 | INFO     | hyvideo.utils.grpo_utils:prepare_samples_online:1962 - Rank 0: Reference stats computed (Batched). Shape: torch.Size([2, 20, 32, 21, 22, 39]), Time: 112.89s (1.88min)
+2026-06-20 17:40:37.378 | INFO     | hyvideo.utils.grpo_utils:train_one_step:2713 - Rank 0, sp_rank 0: token_credit GRPO active with 10 valid question slots; loss_mode=video_adv, ratio_mode=weighted_logprob, spatial_granularity=window, advantage_source=token, shuffle_weights=False, uniform_weights=False.
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..04ca5d9eccbb3a0bf826f018713f32b9425dea81
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,284 @@
+awscli==1.45.25
+boto3==1.43.25
+botocore==1.43.25
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.5.9
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.2
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.4
+aiohttp==3.14.1
+wandb==0.27.2
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.25.23
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.7.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.14
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.20.1
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.21.0
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+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.3
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
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+matplotlib==3.10.9
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5be69437f76e4a2e7d5af151efbb31d360286901
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,183 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-19T01:30:12.429129Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-9b-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "454212927488"
+    }
+  },
+  "memory": {
+    "total": "1204539260928"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a46a9236-2f10-8dc6-a65a-3acdc400ac53"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-35a5b590-e4bb-5a60-c86e-be2ca8e30206"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-4699434d-8ca7-e16d-2126-ceed42408c3f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-4be9caf6-8ba6-807b-758c-ba5e7a168c54"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-21bce20d-0690-445f-66e6-8f847e18c310"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f9535ed2-1580-393b-3675-70fdbea1e453"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-c87db964-ba6d-cfff-e0c6-aa375f8ba349"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-0f3ed4a8-a0d0-63f3-7235-7ae048428d18"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "40amcdecq7vryezfaa3ad7uw3lf5slgv"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..fb9e18172aeef7439e0c7013a9801303f3543a96
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug-internal.log
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+{"time":"2026-06-20T17:39:05.566670261Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:39:20.560097439Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:39:35.588096241Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:39:50.557843779Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:40:05.562379767Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:40:20.546205332Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-20T17:40:35.407314126Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":19280,"events_lines":2,"console_offset":4627,"console_lines":1}
+{"time":"2026-06-20T17:40:35.544637622Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-20T17:40:50.562061022Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..e57a93436f8ce1e8e59036d26572e4f595c63c19
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug.log
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+2026-06-19 01:30:12,451 INFO    MainThread:2055 [wandb_setup.py:_flush():81] Configure stats pid to 2055
+2026-06-19 01:30:12,451 INFO    MainThread:2055 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-19 01:30:12,451 INFO    MainThread:2055 [wandb_init.py:setup_run_log_directory():723] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug.log
+2026-06-19 01:30:12,452 INFO    MainThread:2055 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260619_013012-rgt7q8d2/logs/debug-internal.log
+2026-06-19 01:30:12,452 INFO    MainThread:2055 [wandb_init.py:init():766] calling init triggers
+2026-06-19 01:30:12,452 INFO    MainThread:2055 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-19 01:30:12,452 INFO    MainThread:2055 [wandb_init.py:init():814] starting backend
+2026-06-19 01:30:12,676 INFO    MainThread:2055 [wandb_init.py:init():829] sending inform_init request
+2026-06-19 01:30:12,932 INFO    MainThread:2055 [wandb_init.py:init():834] backend started and connected
+2026-06-19 01:30:12,935 INFO    MainThread:2055 [wandb_init.py:init():904] updated telemetry
+2026-06-19 01:30:12,966 INFO    MainThread:2055 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
+2026-06-19 01:30:13,420 INFO    MainThread:2055 [wandb_init.py:init():972] starting run threads in backend
+2026-06-19 01:30:13,612 INFO    MainThread:2055 [wandb_run.py:_console_start():2523] atexit reg
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+2026-06-19 01:30:13,612 INFO    MainThread:2055 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-19 01:30:13,614 INFO    MainThread:2055 [wandb_init.py:init():1010] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..ebf4c909036050f10d9cf9402f30ed6b8cc85ab1
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 01:30:10.649 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 01:30:10.649 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.650 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 01:30:10.650 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 01:30:10.651 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 01:30:10.651 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 01:30:10.651 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 01:30:10.652 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.652 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 01:30:10.653 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.664 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 01:30:10.664 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 01:30:10.665 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 01:30:10.665 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 01:30:10.665 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 01:30:10.666 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 01:30:10.666 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 01:30:10.667 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 01:30:10.667 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 01:30:10.668 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 01:30:10.668 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.668 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 01:30:10.669 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.669 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 01:30:10.670 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 01:30:10.670 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 01:30:10.670 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 01:30:10.671 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 01:30:10.671 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.672 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 01:30:10.672 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.672 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 01:30:10.673 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 01:30:10.673 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 01:30:10.674 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 01:30:10.674 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 01:30:10.674 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 01:30:10.675 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 01:30:10.675 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.675 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 01:30:10.676 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.676 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 01:30:10.677 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 01:30:10.677 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 01:30:10.677 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 01:30:10.678 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 01:30:10.678 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 01:30:10.679 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 01:30:10.679 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.679 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 01:30:10.680 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.680 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 01:30:10.681 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 01:30:10.681 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 01:30:10.681 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 01:30:10.682 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 01:30:10.682 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 01:30:10.683 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 01:30:10.683 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 01:30:10.683 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 01:30:10.684 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 01:30:10.684 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 01:30:10.684 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 01:30:10.685 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 01:30:10.685 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 01:30:10.686 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 01:30:10.686 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 01:30:10.686 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 01:30:10.687 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 01:30:10.687 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 01:30:10.688 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 01:30:10.688 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 01:30:10.688 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 01:30:10.689 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 01:30:10.689 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 01:30:10.690 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 01:30:10.690 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 01:30:10.690 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.691 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 01:30:10.691 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.691 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 01:30:10.692 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 01:30:10.692 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 01:30:10.693 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 01:30:10.693 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 01:30:10.694 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 01:30:10.694 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 01:30:10.694 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 01:30:10.695 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 01:30:10.695 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 01:30:10.695 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 01:30:10.696 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 01:30:10.696 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 01:30:10.697 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 01:30:10.697 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 01:30:10.697 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 01:30:10.698 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 01:30:10.698 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 01:30:10.699 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 01:30:10.699 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 01:30:10.700 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 01:30:10.700 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 01:30:10.701 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 01:30:10.701 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 01:30:10.701 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.702 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 01:30:10.702 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 01:30:10.703 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 01:30:10.703 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 01:30:10.703 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 01:30:10.704 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 01:30:10.704 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 01:30:10.705 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 01:30:10.705 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 01:30:10.705 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 01:30:10.706 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 01:30:10.706 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 01:30:10.707 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 01:30:10.707 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 01:30:10.707 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 01:30:10.708 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 01:30:10.708 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 01:30:10.709 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 01:30:11.375 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 01:30:11.376 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 01:30:11.377 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 01:30:11.377 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 01:30:11.378 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 01:30:11.378 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 01:30:12.274 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 01:30:12.405 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
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+typing-inspection==0.4.2
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+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
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+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
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+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c95dcc5a102ab9ddd5d052ac47e60623867d9f3b
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T01:30:09.016446Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619658489856"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
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+}
\ No newline at end of file
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_013009-rgt7q8d2/logs/debug.log
new file mode 100644
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+2026-06-29 02:00:13.304 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 02:00:13.304 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.305 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 02:00:13.305 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 02:00:13.306 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 02:00:13.306 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
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+2026-06-29 02:00:13.307 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 02:00:13.308 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.319 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 02:00:13.320 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 02:00:13.320 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 02:00:13.321 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 02:00:13.324 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
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+2026-06-29 02:00:13.325 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 02:00:13.326 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 02:00:13.326 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 02:00:13.327 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
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+2026-06-29 02:00:13.328 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 02:00:13.329 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.329 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 02:00:13.330 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 02:00:13.331 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
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+2026-06-29 02:00:13.332 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
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+2026-06-29 02:00:13.333 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 02:00:13.333 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.333 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 02:00:13.334 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 02:00:13.334 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
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+2026-06-29 02:00:13.337 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
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+2026-06-29 02:00:13.338 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 02:00:13.338 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 02:00:13.338 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
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+2026-06-29 02:00:13.341 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 02:00:13.341 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 02:00:13.342 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
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+2026-06-29 02:00:13.343 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 02:00:13.343 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 02:00:13.344 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 02:00:13.344 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 02:00:13.345 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 02:00:13.345 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 02:00:13.345 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 02:00:13.346 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 02:00:13.346 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 02:00:13.346 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 02:00:13.347 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 02:00:13.348 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 02:00:13.348 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 02:00:13.348 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 02:00:13.349 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 02:00:13.349 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.350 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 02:00:13.350 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.351 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 02:00:13.351 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 02:00:13.351 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 02:00:13.352 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 02:00:13.352 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 02:00:13.353 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 02:00:13.353 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 02:00:13.354 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 02:00:13.354 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 02:00:13.355 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 02:00:13.355 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 02:00:13.355 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 02:00:13.356 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 02:00:13.356 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 02:00:13.357 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 02:00:13.357 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 02:00:13.358 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 02:00:13.358 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 02:00:13.359 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 02:00:13.359 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 02:00:13.360 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 02:00:13.360 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 02:00:13.360 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 02:00:13.361 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 02:00:13.361 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.362 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 02:00:13.362 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 02:00:13.363 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:00:13.363 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:00:13.363 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 02:00:13.364 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 02:00:13.364 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 02:00:13.365 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 02:00:13.365 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 02:00:13.366 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 02:00:13.366 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 02:00:13.367 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 02:00:13.367 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 02:00:13.368 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 02:00:13.368 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 02:00:13.369 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:00:13.369 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 02:00:13.369 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 02:00:14.039 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 02:00:14.040 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 02:00:14.041 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 02:00:14.042 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 02:00:14.042 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 02:00:14.043 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 02:00:14.971 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 02:00:15.117 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
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+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bcdae462c6208df3f0907286885005c284c500b5
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T02:00:12.081548Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619660148736"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "8tsdd85v87gov2byexwfb4ogc8n07hdx"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..926a02943155fb3727abd97105ecceca756bfe41
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug-internal.log
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..0e72ec9c47a80dfa4130ea558b3bd63acc3a7fa0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug.log
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+2026-06-29 02:00:12,100 INFO    MainThread:3640 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 02:00:12,100 INFO    MainThread:3640 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug.log
+2026-06-29 02:00:12,101 INFO    MainThread:3640 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/logs/debug-internal.log
+2026-06-29 02:00:12,101 INFO    MainThread:3640 [wandb_init.py:init():768] calling init triggers
+2026-06-29 02:00:12,101 INFO    MainThread:3640 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_020012-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..15b6f8b8603791f828cd236ce41474934760198a
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@@ -0,0 +1,133 @@
+2026-06-29 02:27:20.882 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 02:27:20.883 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.883 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 02:27:20.884 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 02:27:20.884 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 02:27:20.885 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 02:27:20.885 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 02:27:20.886 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.886 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 02:27:20.887 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.898 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 02:27:20.899 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 02:27:20.899 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 02:27:20.899 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 02:27:20.900 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 02:27:20.900 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 02:27:20.901 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 02:27:20.901 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 02:27:20.901 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 02:27:20.902 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 02:27:20.902 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.903 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 02:27:20.903 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.904 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 02:27:20.904 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 02:27:20.905 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 02:27:20.905 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 02:27:20.905 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 02:27:20.906 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.906 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 02:27:20.907 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.907 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 02:27:20.908 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 02:27:20.908 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 02:27:20.908 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 02:27:20.909 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 02:27:20.909 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 02:27:20.909 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 02:27:20.910 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.910 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 02:27:20.911 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.911 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 02:27:20.912 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 02:27:20.912 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 02:27:20.912 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 02:27:20.913 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 02:27:20.913 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 02:27:20.914 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 02:27:20.914 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.915 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 02:27:20.915 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.915 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 02:27:20.916 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 02:27:20.916 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 02:27:20.916 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 02:27:20.917 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 02:27:20.917 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 02:27:20.918 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 02:27:20.918 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 02:27:20.919 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 02:27:20.919 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 02:27:20.920 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 02:27:20.920 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 02:27:20.920 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 02:27:20.921 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 02:27:20.921 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 02:27:20.922 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 02:27:20.922 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 02:27:20.922 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 02:27:20.923 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 02:27:20.923 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 02:27:20.924 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 02:27:20.924 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 02:27:20.924 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 02:27:20.925 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 02:27:20.925 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 02:27:20.926 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 02:27:20.926 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.926 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 02:27:20.927 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.927 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 02:27:20.928 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 02:27:20.928 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 02:27:20.928 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 02:27:20.929 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 02:27:20.929 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 02:27:20.930 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 02:27:20.930 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 02:27:20.931 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 02:27:20.931 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 02:27:20.931 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 02:27:20.932 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 02:27:20.932 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 02:27:20.933 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 02:27:20.933 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 02:27:20.933 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 02:27:20.934 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 02:27:20.934 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 02:27:20.935 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 02:27:20.935 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 02:27:20.935 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 02:27:20.936 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 02:27:20.936 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 02:27:20.937 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 02:27:20.937 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.937 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 02:27:20.938 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 02:27:20.938 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:27:20.938 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:27:20.939 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 02:27:20.939 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 02:27:20.940 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 02:27:20.941 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 02:27:20.941 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 02:27:20.941 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 02:27:20.942 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 02:27:20.942 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 02:27:20.943 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 02:27:20.943 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 02:27:20.944 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 02:27:20.944 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:27:20.944 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 02:27:20.945 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 02:27:21.616 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 02:27:21.617 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 02:27:21.617 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 02:27:21.618 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 02:27:21.618 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 02:27:21.619 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 02:27:22.593 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 02:27:22.736 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
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+absl-py==2.4.0
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+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
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+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
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+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
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+weasel==0.4.3
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+filelock==3.29.4
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1d0e238882e6b76305e1cbc97e510b455d701cf1
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T02:27:19.653235Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619661799424"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "0u4g8qsrfznxf8wb91bx1uod0bac83d8"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..ccd4c7a52a07f740985080c321faa8999b8bfcbb
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug-internal.log
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..f4c641c114cb3dd79c74e35103f5819575507282
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug.log
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+2026-06-29 02:27:19,673 INFO    MainThread:5672 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_022719-rgt7q8d2/logs/debug-internal.log
+2026-06-29 02:27:19,673 INFO    MainThread:5672 [wandb_init.py:init():768] calling init triggers
+2026-06-29 02:27:19,673 INFO    MainThread:5672 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 02:48:04.032 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 02:48:04.035 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.035 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 02:48:04.036 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 02:48:04.036 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 02:48:04.037 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 02:48:04.037 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 02:48:04.038 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.038 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 02:48:04.039 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.049 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 02:48:04.049 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 02:48:04.050 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 02:48:04.050 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 02:48:04.051 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 02:48:04.051 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 02:48:04.052 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 02:48:04.052 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 02:48:04.052 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 02:48:04.053 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 02:48:04.053 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.054 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 02:48:04.054 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.055 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 02:48:04.055 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 02:48:04.055 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 02:48:04.056 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 02:48:04.056 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 02:48:04.057 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.057 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 02:48:04.057 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.058 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 02:48:04.058 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 02:48:04.059 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 02:48:04.059 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 02:48:04.059 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 02:48:04.060 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 02:48:04.060 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 02:48:04.061 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.061 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 02:48:04.061 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.062 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 02:48:04.062 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 02:48:04.063 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 02:48:04.063 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 02:48:04.064 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 02:48:04.064 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 02:48:04.064 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 02:48:04.065 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.065 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 02:48:04.066 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.066 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 02:48:04.066 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 02:48:04.067 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 02:48:04.067 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 02:48:04.068 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 02:48:04.068 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 02:48:04.068 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 02:48:04.069 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 02:48:04.069 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 02:48:04.070 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 02:48:04.070 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 02:48:04.070 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 02:48:04.071 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 02:48:04.071 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 02:48:04.071 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 02:48:04.072 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 02:48:04.072 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 02:48:04.073 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 02:48:04.073 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 02:48:04.073 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 02:48:04.074 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 02:48:04.074 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 02:48:04.075 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 02:48:04.075 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 02:48:04.075 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 02:48:04.076 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 02:48:04.076 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.077 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 02:48:04.077 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.077 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 02:48:04.078 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 02:48:04.078 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 02:48:04.078 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 02:48:04.079 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 02:48:04.079 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 02:48:04.079 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 02:48:04.080 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 02:48:04.080 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 02:48:04.081 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 02:48:04.081 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 02:48:04.081 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 02:48:04.082 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 02:48:04.082 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 02:48:04.083 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 02:48:04.083 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 02:48:04.083 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 02:48:04.084 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 02:48:04.084 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 02:48:04.085 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 02:48:04.085 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 02:48:04.085 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 02:48:04.086 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 02:48:04.086 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 02:48:04.087 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.087 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 02:48:04.087 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 02:48:04.088 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:48:04.088 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:48:04.089 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 02:48:04.089 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 02:48:04.089 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 02:48:04.090 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 02:48:04.090 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 02:48:04.091 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 02:48:04.091 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 02:48:04.092 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 02:48:04.092 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 02:48:04.093 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 02:48:04.093 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 02:48:04.094 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 02:48:04.094 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 02:48:04.095 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 02:48:04.758 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 02:48:04.759 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 02:48:04.759 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 02:48:04.760 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 02:48:04.760 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 02:48:04.761 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 02:48:05.681 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 02:48:05.827 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
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+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
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+rsa==4.7.2
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+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
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+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
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+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
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+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
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+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
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+docstring_parser==0.18.0
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+cuda-bindings==13.0.3
+cattrs==26.1.0
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+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
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+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+dataset==2.0.0
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+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
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+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
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+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+fire==0.7.0
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+trl==0.8.6
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+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3871e7da5e3aec45d1be3b0bbd22864c41afbf7
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T02:48:02.600291Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619662102528"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "r67343ly7cdn89a96rq36ht8y9oi83kq"
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..a29f6ddbf1dd9ba370982c23aa569d4ba1c6fbd1
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+2026-06-29 02:48:02,621 INFO    MainThread:7550 [wandb_init.py:init():768] calling init triggers
+2026-06-29 02:48:02,622 INFO    MainThread:7550 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_024802-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..fb7d02c5622c5346b240a924faba6f7c4b6547f2
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@@ -0,0 +1,133 @@
+2026-06-29 03:09:15.389 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 03:09:15.389 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.390 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 03:09:15.390 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 03:09:15.391 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 03:09:15.391 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 03:09:15.392 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 03:09:15.392 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.393 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 03:09:15.393 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.404 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 03:09:15.405 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 03:09:15.405 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 03:09:15.406 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 03:09:15.406 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 03:09:15.407 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 03:09:15.407 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 03:09:15.407 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 03:09:15.408 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 03:09:15.408 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 03:09:15.409 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.409 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 03:09:15.410 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.410 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 03:09:15.410 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 03:09:15.411 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 03:09:15.411 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 03:09:15.412 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 03:09:15.412 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.412 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 03:09:15.413 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.413 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 03:09:15.413 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 03:09:15.414 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 03:09:15.414 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 03:09:15.415 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 03:09:15.415 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 03:09:15.415 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 03:09:15.416 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.416 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 03:09:15.417 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.417 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 03:09:15.418 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 03:09:15.418 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 03:09:15.418 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 03:09:15.419 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 03:09:15.419 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 03:09:15.419 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 03:09:15.420 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.420 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 03:09:15.421 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.421 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 03:09:15.421 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 03:09:15.422 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 03:09:15.422 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 03:09:15.423 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 03:09:15.423 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 03:09:15.423 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 03:09:15.424 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 03:09:15.424 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 03:09:15.425 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 03:09:15.425 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 03:09:15.425 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 03:09:15.426 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 03:09:15.426 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 03:09:15.427 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 03:09:15.427 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 03:09:15.427 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 03:09:15.428 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 03:09:15.428 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 03:09:15.429 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 03:09:15.429 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 03:09:15.429 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 03:09:15.430 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 03:09:15.430 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 03:09:15.430 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 03:09:15.431 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 03:09:15.431 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.432 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 03:09:15.432 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.432 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 03:09:15.433 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 03:09:15.433 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 03:09:15.434 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 03:09:15.434 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 03:09:15.434 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 03:09:15.435 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 03:09:15.435 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 03:09:15.435 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 03:09:15.436 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 03:09:15.436 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 03:09:15.437 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 03:09:15.437 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 03:09:15.438 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 03:09:15.438 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 03:09:15.438 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 03:09:15.439 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 03:09:15.439 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 03:09:15.440 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 03:09:15.440 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 03:09:15.440 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 03:09:15.441 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 03:09:15.441 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 03:09:15.441 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 03:09:15.442 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.442 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 03:09:15.443 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 03:09:15.443 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:09:15.443 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:09:15.444 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 03:09:15.444 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 03:09:15.445 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 03:09:15.445 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 03:09:15.445 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 03:09:15.446 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 03:09:15.446 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 03:09:15.447 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 03:09:15.447 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 03:09:15.448 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 03:09:15.448 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 03:09:15.449 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:09:15.449 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 03:09:15.449 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 03:09:16.099 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 03:09:16.100 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 03:09:16.100 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 03:09:16.101 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 03:09:16.101 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 03:09:16.102 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 03:09:16.952 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 03:09:17.081 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
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+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
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+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
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+wandb==0.28.0
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+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
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+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
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+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
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+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
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+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
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+decorator==5.3.1
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+h5py==3.16.0
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+intel-openmp==2026.0.0
+ipykernel==7.3.0
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+mkl==2026.0.0
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+mpi4py==4.1.2
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+onemkl-license==2026.0.0
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+tbb==2023.0.0
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+traitlets==5.15.1
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ac2579d21c9632421cdaf6169aa8eaeed9d1bc2
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T03:09:14.100599Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619664207872"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "16wzahfmyr6npkufv9suqg37clvgtzox"
+}
\ No newline at end of file
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new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..db8be06c30239b54d23510dd655c21bf0905562f
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/run-rgt7q8d2.wandb
new file mode 100644
index 0000000000000000000000000000000000000000..4b823ab8acfb7c31d06065559e7d09f97b6753da
Binary files /dev/null and b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_030914-rgt7q8d2/run-rgt7q8d2.wandb differ
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..24ade25b25c44d7ed7c9da9d455ccf3b273e593b
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 03:38:11.198 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 03:38:11.199 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.199 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 03:38:11.200 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 03:38:11.200 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 03:38:11.201 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 03:38:11.201 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 03:38:11.201 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.202 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 03:38:11.202 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.214 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 03:38:11.214 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 03:38:11.215 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 03:38:11.215 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 03:38:11.215 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 03:38:11.216 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 03:38:11.216 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 03:38:11.217 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 03:38:11.217 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 03:38:11.218 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 03:38:11.218 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.219 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 03:38:11.219 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.220 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 03:38:11.220 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 03:38:11.221 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 03:38:11.221 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 03:38:11.221 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 03:38:11.222 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.222 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 03:38:11.223 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.223 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 03:38:11.223 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 03:38:11.224 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 03:38:11.224 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 03:38:11.225 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 03:38:11.225 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 03:38:11.225 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 03:38:11.226 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.226 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 03:38:11.227 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.227 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 03:38:11.227 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 03:38:11.228 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 03:38:11.228 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 03:38:11.229 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 03:38:11.229 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 03:38:11.229 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 03:38:11.230 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.230 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 03:38:11.230 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.231 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 03:38:11.231 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 03:38:11.232 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 03:38:11.232 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 03:38:11.232 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 03:38:11.233 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 03:38:11.233 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 03:38:11.234 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 03:38:11.234 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 03:38:11.234 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 03:38:11.235 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 03:38:11.235 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 03:38:11.236 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 03:38:11.236 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 03:38:11.236 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 03:38:11.237 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 03:38:11.237 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 03:38:11.238 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 03:38:11.238 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 03:38:11.238 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 03:38:11.239 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 03:38:11.239 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 03:38:11.239 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 03:38:11.240 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 03:38:11.240 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 03:38:11.241 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 03:38:11.241 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.241 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 03:38:11.242 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.242 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 03:38:11.242 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 03:38:11.243 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 03:38:11.243 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 03:38:11.244 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 03:38:11.244 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 03:38:11.244 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 03:38:11.245 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 03:38:11.245 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 03:38:11.245 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 03:38:11.246 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 03:38:11.246 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 03:38:11.246 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 03:38:11.247 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 03:38:11.247 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 03:38:11.247 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 03:38:11.247 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 03:38:11.248 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 03:38:11.248 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 03:38:11.249 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 03:38:11.250 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 03:38:11.250 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 03:38:11.250 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 03:38:11.251 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 03:38:11.251 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.251 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 03:38:11.252 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 03:38:11.252 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:38:11.253 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:38:11.253 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 03:38:11.254 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 03:38:11.254 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 03:38:11.255 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 03:38:11.255 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 03:38:11.255 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 03:38:11.256 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 03:38:11.256 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 03:38:11.257 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 03:38:11.257 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 03:38:11.257 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 03:38:11.258 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 03:38:11.258 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 03:38:11.259 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 03:38:11.927 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 03:38:11.928 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 03:38:11.929 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 03:38:11.929 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 03:38:11.930 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 03:38:11.930 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 03:38:12.829 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 03:38:12.968 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
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+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b8e43f5ef0ba354ade8a98a194c84af085a0731
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T03:38:09.984689Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619665272832"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "dlt04glepqwfbkknd3tz6wwrik6mxp1x"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..e8082d3bfc0edcd066dd010d6da416ac0d914533
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,11 @@
+{"time":"2026-06-29T03:38:10.234216477Z","level":"INFO","msg":"wandb-core"}
+{"time":"2026-06-29T03:38:10.235553516Z","level":"INFO","msg":"stream: starting","core version":"0.28.0"}
+{"time":"2026-06-29T03:38:10.621265925Z","level":"INFO","msg":"stream: created new stream","id":"rgt7q8d2"}
+{"time":"2026-06-29T03:38:10.621362184Z","level":"INFO","msg":"handler: started"}
+{"time":"2026-06-29T03:38:10.625022843Z","level":"INFO","msg":"stream: started"}
+{"time":"2026-06-29T03:38:10.625051177Z","level":"INFO","msg":"writer: started","stream_id":"rgt7q8d2"}
+{"time":"2026-06-29T03:38:10.625078885Z","level":"INFO","msg":"sender: started"}
+{"time":"2026-06-29T03:38:11.199728402Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":665,"console_lines":1}
+{"time":"2026-06-29T03:38:11.42280913Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T03:38:26.201049848Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":44,"events_lines":2,"console_offset":666,"console_lines":132,"uploaded_len":2}
+{"time":"2026-06-29T03:38:26.425015639Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..067f7d6b8e1509ffc7809d191eb04a94f1018ed4
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_setup.py:_flush():81] Configure stats pid to 11319
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug.log
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/logs/debug-internal.log
+2026-06-29 03:38:10,001 INFO    MainThread:11319 [wandb_init.py:init():768] calling init triggers
+2026-06-29 03:38:10,002 INFO    MainThread:11319 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 03:38:10,002 INFO    MainThread:11319 [wandb_init.py:init():816] starting backend
+2026-06-29 03:38:10,224 INFO    MainThread:11319 [wandb_init.py:init():831] sending inform_init request
+2026-06-29 03:38:10,626 INFO    MainThread:11319 [wandb_init.py:init():836] backend started and connected
+2026-06-29 03:38:10,629 INFO    MainThread:11319 [wandb_init.py:init():906] updated telemetry
+2026-06-29 03:38:10,661 INFO    MainThread:11319 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 03:38:10,998 INFO    MainThread:11319 [wandb_init.py:init():969] run resumed
+2026-06-29 03:38:11,000 INFO    MainThread:11319 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 03:38:11,196 INFO    MainThread:11319 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 03:38:11,196 INFO    MainThread:11319 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 03:38:11,196 INFO    MainThread:11319 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 03:38:11,196 INFO    MainThread:11319 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 03:38:11,198 INFO    MainThread:11319 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_033809-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 04:00:50.777 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 04:00:50.780 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.780 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 04:00:50.781 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 04:00:50.781 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 04:00:50.781 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 04:00:50.782 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 04:00:50.782 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.783 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 04:00:50.783 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.794 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 04:00:50.794 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 04:00:50.794 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 04:00:50.795 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 04:00:50.795 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 04:00:50.796 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 04:00:50.796 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 04:00:50.797 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 04:00:50.797 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 04:00:50.797 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 04:00:50.798 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.798 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 04:00:50.799 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.799 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 04:00:50.799 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 04:00:50.800 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 04:00:50.800 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 04:00:50.801 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 04:00:50.801 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.802 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 04:00:50.802 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.802 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 04:00:50.803 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 04:00:50.803 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 04:00:50.804 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 04:00:50.804 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 04:00:50.804 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 04:00:50.805 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 04:00:50.805 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.806 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 04:00:50.806 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.806 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 04:00:50.807 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 04:00:50.807 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 04:00:50.808 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 04:00:50.808 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 04:00:50.808 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 04:00:50.809 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 04:00:50.809 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.810 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 04:00:50.810 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.810 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 04:00:50.811 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 04:00:50.811 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 04:00:50.812 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 04:00:50.812 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 04:00:50.812 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 04:00:50.813 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 04:00:50.813 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 04:00:50.814 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 04:00:50.814 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 04:00:50.814 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 04:00:50.815 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 04:00:50.815 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 04:00:50.816 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 04:00:50.816 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 04:00:50.816 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 04:00:50.817 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 04:00:50.817 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 04:00:50.818 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 04:00:50.818 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 04:00:50.818 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 04:00:50.818 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 04:00:50.819 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 04:00:50.819 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 04:00:50.820 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 04:00:50.820 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 04:00:50.821 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.821 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 04:00:50.821 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.822 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 04:00:50.822 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 04:00:50.822 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 04:00:50.823 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 04:00:50.823 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 04:00:50.824 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 04:00:50.824 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 04:00:50.824 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 04:00:50.825 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 04:00:50.825 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 04:00:50.826 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 04:00:50.826 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 04:00:50.826 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 04:00:50.827 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 04:00:50.827 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 04:00:50.828 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 04:00:50.828 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 04:00:50.829 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 04:00:50.829 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 04:00:50.829 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 04:00:50.830 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 04:00:50.830 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 04:00:50.830 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 04:00:50.831 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 04:00:50.831 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.832 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 04:00:50.832 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 04:00:50.832 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:00:50.833 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:00:50.833 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 04:00:50.833 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 04:00:50.834 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 04:00:50.834 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 04:00:50.835 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 04:00:50.835 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 04:00:50.835 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 04:00:50.836 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 04:00:50.836 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 04:00:50.837 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 04:00:50.837 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 04:00:50.838 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:00:50.838 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 04:00:50.838 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 04:00:51.507 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 04:00:51.510 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 04:00:51.510 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 04:00:51.511 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 04:00:51.511 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 04:00:51.512 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 04:00:52.512 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 04:00:52.658 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..92d7de16644f01fc1289ff1a182c3e9bd0d4b363
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T04:00:49.664544Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619656531968"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "zksbqsabsma070aw58uq3p0wj0zdju01"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..6d89c8dbcd489ff8f813cd94e32f31075956bce2
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,29 @@
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+{"time":"2026-06-29T04:00:50.188901744Z","level":"INFO","msg":"sender: started"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..0606ea8a55a5fba52043aec6cd27551f443508b9
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/logs/debug.log
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+2026-06-29 04:00:49,680 INFO    MainThread:13326 [wandb_init.py:init():768] calling init triggers
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 04:00:49,681 INFO    MainThread:13326 [wandb_init.py:init():816] starting backend
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_040049-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 04:28:57.531 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 04:28:57.533 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.533 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 04:28:57.534 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 04:28:57.534 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 04:28:57.535 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 04:28:57.535 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 04:28:57.536 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.536 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 04:28:57.537 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.548 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 04:28:57.548 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 04:28:57.549 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 04:28:57.549 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 04:28:57.549 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 04:28:57.550 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 04:28:57.550 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 04:28:57.551 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 04:28:57.551 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 04:28:57.552 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 04:28:57.552 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.555 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 04:28:57.557 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.557 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 04:28:57.558 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 04:28:57.558 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 04:28:57.558 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 04:28:57.559 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 04:28:57.559 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.560 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 04:28:57.560 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.561 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 04:28:57.561 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 04:28:57.562 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 04:28:57.562 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 04:28:57.562 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 04:28:57.563 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 04:28:57.563 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 04:28:57.564 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.564 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 04:28:57.564 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.565 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 04:28:57.565 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 04:28:57.566 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 04:28:57.566 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 04:28:57.567 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 04:28:57.567 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 04:28:57.567 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 04:28:57.568 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.568 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 04:28:57.569 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.569 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 04:28:57.569 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 04:28:57.570 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 04:28:57.570 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 04:28:57.570 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 04:28:57.571 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 04:28:57.571 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 04:28:57.572 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 04:28:57.572 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 04:28:57.572 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 04:28:57.573 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 04:28:57.573 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 04:28:57.574 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 04:28:57.574 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 04:28:57.575 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 04:28:57.575 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 04:28:57.575 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 04:28:57.576 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 04:28:57.576 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 04:28:57.577 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 04:28:57.577 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 04:28:57.577 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 04:28:57.578 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 04:28:57.578 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 04:28:57.579 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 04:28:57.579 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 04:28:57.579 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.580 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 04:28:57.580 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.581 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 04:28:57.581 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 04:28:57.581 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 04:28:57.582 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 04:28:57.582 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 04:28:57.583 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 04:28:57.583 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 04:28:57.583 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 04:28:57.584 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 04:28:57.584 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 04:28:57.585 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 04:28:57.585 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 04:28:57.585 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 04:28:57.586 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 04:28:57.586 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 04:28:57.587 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 04:28:57.587 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 04:28:57.587 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 04:28:57.588 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 04:28:57.588 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 04:28:57.589 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 04:28:57.589 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 04:28:57.589 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 04:28:57.589 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 04:28:57.590 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.590 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 04:28:57.591 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 04:28:57.591 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:28:57.591 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:28:57.592 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 04:28:57.592 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 04:28:57.593 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 04:28:57.593 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 04:28:57.594 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 04:28:57.594 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 04:28:57.595 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 04:28:57.595 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 04:28:57.596 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 04:28:57.596 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 04:28:57.596 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 04:28:57.597 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:28:57.597 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 04:28:57.598 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 04:28:58.267 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 04:28:58.270 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 04:28:58.270 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 04:28:58.271 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 04:28:58.271 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 04:28:58.272 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 04:28:59.176 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 04:28:59.318 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
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+truststore==0.10.4
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+asttokens==3.0.1
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+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
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+jupyter_client==8.9.1
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+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
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+nest-asyncio2==1.7.2
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+onemkl-license==2026.0.0
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+packaging==26.2
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+pure_eval==0.2.3
+pybind11==3.0.4
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+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
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+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bfc96eabe6ae8aba1e13f13161b35593de8b39e9
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_042856-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T04:28:56.419804Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619658481664"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
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+  "writerId": "w6ulv21m33k83qil7lb4c3iz9vxxzfrz"
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/output.log
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+2026-06-29 04:56:40.186 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 04:56:40.187 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.187 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 04:56:40.187 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 04:56:40.188 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 04:56:40.188 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
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+2026-06-29 04:56:40.190 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
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+2026-06-29 04:56:40.202 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 04:56:40.203 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 04:56:40.203 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 04:56:40.204 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 04:56:40.205 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
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+2026-06-29 04:56:40.207 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.207 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
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+2026-06-29 04:56:40.208 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 04:56:40.210 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 04:56:40.211 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.211 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 04:56:40.212 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
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+2026-06-29 04:56:40.213 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
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+2026-06-29 04:56:40.214 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.214 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 04:56:40.214 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.215 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 04:56:40.215 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
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+2026-06-29 04:56:40.218 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
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+2026-06-29 04:56:40.219 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 04:56:40.219 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 04:56:40.220 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
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+2026-06-29 04:56:40.221 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 04:56:40.222 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 04:56:40.222 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 04:56:40.222 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 04:56:40.223 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 04:56:40.223 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 04:56:40.224 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 04:56:40.224 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 04:56:40.224 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 04:56:40.225 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 04:56:40.225 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 04:56:40.226 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 04:56:40.226 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 04:56:40.227 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 04:56:40.227 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 04:56:40.227 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 04:56:40.228 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 04:56:40.228 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 04:56:40.229 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 04:56:40.229 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.229 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 04:56:40.230 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.230 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 04:56:40.230 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 04:56:40.231 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 04:56:40.231 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 04:56:40.231 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 04:56:40.232 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 04:56:40.232 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 04:56:40.233 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 04:56:40.233 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 04:56:40.233 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 04:56:40.234 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 04:56:40.234 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 04:56:40.234 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 04:56:40.235 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 04:56:40.235 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 04:56:40.236 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 04:56:40.236 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 04:56:40.237 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 04:56:40.237 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 04:56:40.237 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 04:56:40.238 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 04:56:40.238 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 04:56:40.239 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 04:56:40.239 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 04:56:40.239 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.240 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 04:56:40.240 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 04:56:40.240 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:56:40.241 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:56:40.241 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 04:56:40.242 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 04:56:40.242 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 04:56:40.242 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 04:56:40.243 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 04:56:40.243 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 04:56:40.244 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 04:56:40.244 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 04:56:40.244 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 04:56:40.245 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 04:56:40.245 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 04:56:40.246 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 04:56:40.246 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 04:56:40.246 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 04:56:40.914 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 04:56:40.915 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 04:56:40.916 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 04:56:40.916 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 04:56:40.917 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 04:56:40.917 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 04:56:41.786 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 04:56:41.921 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4df90f77e608c77491ac7f03b7d5e6e3d1bce13
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T04:56:39.056717Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619641126912"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "5qvhnflsx9teoz2rf8d0uv68gkqm45ox"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..bb16d81af58f3e3579a484979ed8de0d00fc18c4
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug-internal.log
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..41ec230784baa09da11c7d5d486ddd1143ec0c16
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug.log
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+2026-06-29 04:56:39,076 INFO    MainThread:17643 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug.log
+2026-06-29 04:56:39,076 INFO    MainThread:17643 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_045639-rgt7q8d2/logs/debug-internal.log
+2026-06-29 04:56:39,076 INFO    MainThread:17643 [wandb_init.py:init():768] calling init triggers
+2026-06-29 04:56:39,076 INFO    MainThread:17643 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..32320a01cf2075fb2dce3aa5e061aa3daf12822b
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@@ -0,0 +1,133 @@
+2026-06-29 05:18:39.989 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 05:18:39.990 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 05:18:39.990 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 05:18:39.991 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 05:18:39.991 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 05:18:39.992 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 05:18:39.992 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 05:18:39.993 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 05:18:39.993 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 05:18:39.993 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.004 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 05:18:40.005 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 05:18:40.005 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 05:18:40.006 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 05:18:40.006 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 05:18:40.006 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 05:18:40.007 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 05:18:40.007 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 05:18:40.008 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 05:18:40.008 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 05:18:40.008 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.009 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 05:18:40.009 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.010 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 05:18:40.010 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 05:18:40.010 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 05:18:40.011 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 05:18:40.011 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 05:18:40.012 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.012 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 05:18:40.012 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.013 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 05:18:40.013 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 05:18:40.013 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 05:18:40.014 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 05:18:40.014 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 05:18:40.015 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 05:18:40.015 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 05:18:40.016 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.016 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 05:18:40.016 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.017 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 05:18:40.017 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 05:18:40.018 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 05:18:40.018 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 05:18:40.018 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 05:18:40.019 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 05:18:40.019 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 05:18:40.019 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.020 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 05:18:40.020 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.021 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 05:18:40.021 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 05:18:40.021 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 05:18:40.022 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 05:18:40.022 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 05:18:40.022 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 05:18:40.023 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 05:18:40.023 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 05:18:40.024 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 05:18:40.024 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 05:18:40.024 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 05:18:40.025 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 05:18:40.025 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 05:18:40.026 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 05:18:40.026 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 05:18:40.026 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 05:18:40.027 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 05:18:40.027 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 05:18:40.027 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 05:18:40.028 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 05:18:40.028 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 05:18:40.029 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 05:18:40.029 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 05:18:40.029 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 05:18:40.030 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 05:18:40.030 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 05:18:40.031 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.031 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 05:18:40.031 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.032 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 05:18:40.032 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 05:18:40.032 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 05:18:40.033 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 05:18:40.033 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 05:18:40.034 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 05:18:40.034 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 05:18:40.034 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 05:18:40.035 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 05:18:40.035 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 05:18:40.035 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 05:18:40.036 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 05:18:40.036 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 05:18:40.037 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 05:18:40.037 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 05:18:40.038 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 05:18:40.038 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 05:18:40.038 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 05:18:40.039 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 05:18:40.039 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 05:18:40.039 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 05:18:40.040 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 05:18:40.040 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 05:18:40.041 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 05:18:40.041 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.041 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 05:18:40.042 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 05:18:40.042 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:18:40.042 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:18:40.043 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 05:18:40.044 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 05:18:40.044 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 05:18:40.045 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 05:18:40.045 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 05:18:40.045 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 05:18:40.046 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 05:18:40.046 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 05:18:40.047 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 05:18:40.047 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 05:18:40.047 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 05:18:40.048 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:18:40.048 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 05:18:40.049 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 05:18:40.719 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 05:18:40.720 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 05:18:40.721 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 05:18:40.721 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 05:18:40.722 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 05:18:40.722 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 05:18:41.577 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 05:18:41.700 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
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+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
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+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
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+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
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+weasel==0.4.3
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+comm==0.2.3
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+debugpy==1.8.21
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+filelock==3.29.4
+h5py==3.16.0
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+mkl==2026.0.0
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+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..24ea43af919d5cd216fd7f2f971686f1506560a1
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T05:18:38.851235Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619652050944"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "0lyblc868dihdug27pyaqtdzddwm8jey"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..394f17fac184f73adcf7a82127643b52b5e4037f
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug-internal.log
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..4f4c4bd89c606dad7eddb033d270493c767fedaf
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug.log
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+2026-06-29 05:18:38,868 INFO    MainThread:19511 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/logs/debug-internal.log
+2026-06-29 05:18:38,868 INFO    MainThread:19511 [wandb_init.py:init():768] calling init triggers
+2026-06-29 05:18:38,868 INFO    MainThread:19511 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_051838-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/output.log
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index 0000000000000000000000000000000000000000..1e4e35b2971c94c9106741e8bd5a3efe5bcf329b
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@@ -0,0 +1,133 @@
+2026-06-29 05:41:16.046 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 05:41:16.047 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.047 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 05:41:16.048 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 05:41:16.048 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 05:41:16.049 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 05:41:16.049 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 05:41:16.050 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.050 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 05:41:16.051 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.062 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 05:41:16.063 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 05:41:16.063 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 05:41:16.064 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 05:41:16.064 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 05:41:16.065 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 05:41:16.065 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 05:41:16.065 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 05:41:16.066 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 05:41:16.066 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 05:41:16.066 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.067 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 05:41:16.067 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.068 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 05:41:16.068 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 05:41:16.068 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 05:41:16.069 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 05:41:16.069 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
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+2026-06-29 05:41:16.070 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
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+2026-06-29 05:41:16.071 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 05:41:16.071 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 05:41:16.072 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 05:41:16.072 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 05:41:16.073 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 05:41:16.073 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 05:41:16.073 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 05:41:16.074 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.074 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 05:41:16.075 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.075 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 05:41:16.075 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 05:41:16.076 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 05:41:16.076 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 05:41:16.077 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 05:41:16.077 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 05:41:16.077 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 05:41:16.078 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.078 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 05:41:16.079 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.079 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 05:41:16.079 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 05:41:16.080 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 05:41:16.080 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 05:41:16.081 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 05:41:16.081 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 05:41:16.081 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 05:41:16.082 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 05:41:16.082 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 05:41:16.082 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 05:41:16.083 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 05:41:16.083 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 05:41:16.084 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 05:41:16.084 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 05:41:16.085 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 05:41:16.085 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 05:41:16.085 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 05:41:16.086 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 05:41:16.086 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 05:41:16.087 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 05:41:16.087 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 05:41:16.087 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 05:41:16.088 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 05:41:16.088 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 05:41:16.089 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 05:41:16.089 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 05:41:16.089 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.090 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 05:41:16.090 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.091 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 05:41:16.091 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 05:41:16.091 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 05:41:16.092 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 05:41:16.092 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 05:41:16.093 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 05:41:16.093 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 05:41:16.093 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 05:41:16.094 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 05:41:16.094 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 05:41:16.095 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 05:41:16.095 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 05:41:16.095 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 05:41:16.096 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 05:41:16.096 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 05:41:16.097 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 05:41:16.097 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 05:41:16.098 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 05:41:16.098 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 05:41:16.098 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 05:41:16.099 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 05:41:16.099 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 05:41:16.100 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 05:41:16.100 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 05:41:16.100 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.101 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 05:41:16.101 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 05:41:16.102 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:41:16.102 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:41:16.102 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 05:41:16.103 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 05:41:16.103 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 05:41:16.104 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 05:41:16.104 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 05:41:16.104 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 05:41:16.105 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 05:41:16.105 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 05:41:16.106 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 05:41:16.106 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 05:41:16.106 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 05:41:16.107 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 05:41:16.107 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 05:41:16.108 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 05:41:16.786 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 05:41:16.787 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 05:41:16.788 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 05:41:16.788 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 05:41:16.789 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 05:41:16.789 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 05:41:17.792 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 05:41:17.936 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
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+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
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+urllib3==2.7.0
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+easydict==1.13
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+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
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+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
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+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
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+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
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+ftfy==6.3.1
+frozenlist==1.8.0
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+docstring_parser==0.18.0
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+cattrs==26.1.0
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+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
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+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
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+timm==1.0.27
+pytorch-lightning==2.6.5
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+xxhash==3.8.0
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+fire==0.7.0
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+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
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+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5cbf9b101c9a9bced168acdf85059e05c7c3a4de
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T05:41:15.065857Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619653971968"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "k6j743xsrh98q71k3wgvqqowl3itmt2m"
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..d350883ee8f5b1661b720d31e01601c50917ae71
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+2026-06-29 05:41:15,082 INFO    MainThread:21459 [wandb_init.py:init():768] calling init triggers
+2026-06-29 05:41:15,082 INFO    MainThread:21459 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_054115-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 06:04:35.769 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 06:04:35.772 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.772 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 06:04:35.773 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 06:04:35.773 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 06:04:35.774 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 06:04:35.774 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 06:04:35.774 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.775 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 06:04:35.775 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.789 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 06:04:35.789 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 06:04:35.790 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 06:04:35.790 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 06:04:35.791 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 06:04:35.791 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 06:04:35.792 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 06:04:35.792 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 06:04:35.793 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 06:04:35.793 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 06:04:35.793 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.794 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 06:04:35.794 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.794 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 06:04:35.795 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 06:04:35.795 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 06:04:35.796 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 06:04:35.796 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 06:04:35.796 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.797 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 06:04:35.797 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.798 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 06:04:35.798 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 06:04:35.798 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 06:04:35.799 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 06:04:35.799 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 06:04:35.800 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 06:04:35.800 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 06:04:35.800 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.801 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 06:04:35.801 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.801 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 06:04:35.802 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 06:04:35.802 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 06:04:35.803 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 06:04:35.803 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 06:04:35.803 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 06:04:35.804 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 06:04:35.804 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.805 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 06:04:35.805 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.805 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 06:04:35.806 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 06:04:35.806 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 06:04:35.807 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 06:04:35.807 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 06:04:35.807 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 06:04:35.808 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 06:04:35.808 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 06:04:35.809 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 06:04:35.809 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 06:04:35.809 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 06:04:35.810 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 06:04:35.810 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 06:04:35.811 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 06:04:35.811 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 06:04:35.811 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 06:04:35.812 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 06:04:35.812 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 06:04:35.813 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 06:04:35.813 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 06:04:35.813 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 06:04:35.814 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 06:04:35.814 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 06:04:35.814 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 06:04:35.815 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 06:04:35.815 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 06:04:35.816 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.816 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 06:04:35.816 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.817 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 06:04:35.817 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 06:04:35.817 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 06:04:35.818 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 06:04:35.818 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 06:04:35.819 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 06:04:35.819 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 06:04:35.820 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 06:04:35.820 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 06:04:35.821 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 06:04:35.821 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 06:04:35.821 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 06:04:35.822 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 06:04:35.822 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 06:04:35.823 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 06:04:35.823 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 06:04:35.823 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 06:04:35.824 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 06:04:35.824 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 06:04:35.825 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 06:04:35.825 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 06:04:35.825 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 06:04:35.826 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 06:04:35.826 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 06:04:35.827 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.827 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 06:04:35.828 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 06:04:35.828 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:04:35.829 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:04:35.829 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 06:04:35.829 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 06:04:35.830 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 06:04:35.830 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 06:04:35.831 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 06:04:35.831 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 06:04:35.832 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 06:04:35.832 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 06:04:35.833 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 06:04:35.833 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 06:04:35.833 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 06:04:35.834 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:04:35.834 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 06:04:35.835 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 06:04:36.502 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 06:04:36.503 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 06:04:36.504 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 06:04:36.505 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 06:04:36.505 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 06:04:36.506 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 06:04:37.352 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 06:04:37.478 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
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+docstring_parser==0.18.0
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+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
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+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
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+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
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+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
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+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
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+intel-openmp==2026.0.0
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+MarkupSafe==3.0.3
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fa60c0b082980dd2ad4e1a5329f6cef072be859
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T06:04:34.722611Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619653234688"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "p2u7kxacmm0guiads6wq13sqyotfd0tk"
+}
\ No newline at end of file
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new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..82f321f668110da2c5848621e14ab5a6f621e267
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+2026-06-29 06:04:34,740 INFO    MainThread:23404 [wandb_init.py:init():768] calling init triggers
+2026-06-29 06:04:34,740 INFO    MainThread:23404 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_060434-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..ba0e0de950d38854f74160b0b5e6fa07dd65721e
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 06:51:39.946 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 06:51:39.948 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.949 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 06:51:39.949 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 06:51:39.950 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 06:51:39.950 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 06:51:39.951 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 06:51:39.951 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.952 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 06:51:39.952 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.962 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 06:51:39.963 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 06:51:39.963 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 06:51:39.964 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 06:51:39.964 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 06:51:39.965 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 06:51:39.965 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 06:51:39.966 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 06:51:39.966 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 06:51:39.967 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 06:51:39.967 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.967 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 06:51:39.968 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.968 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 06:51:39.969 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 06:51:39.969 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 06:51:39.970 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 06:51:39.970 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 06:51:39.971 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.971 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 06:51:39.972 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.972 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 06:51:39.973 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 06:51:39.973 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 06:51:39.973 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 06:51:39.974 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 06:51:39.974 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 06:51:39.974 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 06:51:39.975 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.975 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 06:51:39.976 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.976 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 06:51:39.977 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 06:51:39.977 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 06:51:39.978 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 06:51:39.978 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 06:51:39.978 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 06:51:39.979 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 06:51:39.979 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.979 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 06:51:39.980 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.980 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 06:51:39.981 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 06:51:39.981 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 06:51:39.982 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 06:51:39.982 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 06:51:39.982 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 06:51:39.983 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 06:51:39.983 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 06:51:39.984 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 06:51:39.984 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 06:51:39.984 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 06:51:39.985 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 06:51:39.985 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 06:51:39.986 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 06:51:39.986 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 06:51:39.986 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 06:51:39.987 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 06:51:39.987 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 06:51:39.988 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 06:51:39.988 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 06:51:39.988 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 06:51:39.989 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 06:51:39.989 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 06:51:39.990 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 06:51:39.990 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 06:51:39.991 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 06:51:39.991 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.991 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 06:51:39.992 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 06:51:39.992 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 06:51:39.993 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 06:51:39.993 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 06:51:39.993 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 06:51:39.994 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 06:51:39.994 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 06:51:39.995 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 06:51:39.995 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 06:51:39.996 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 06:51:39.996 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 06:51:39.997 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 06:51:39.997 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 06:51:39.997 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 06:51:39.998 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 06:51:39.998 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 06:51:39.998 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 06:51:39.999 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 06:51:39.999 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 06:51:40.000 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 06:51:40.000 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 06:51:40.001 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 06:51:40.001 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 06:51:40.002 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 06:51:40.002 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 06:51:40.002 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 06:51:40.003 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 06:51:40.003 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 06:51:40.004 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:51:40.004 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:51:40.005 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 06:51:40.005 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 06:51:40.005 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 06:51:40.006 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 06:51:40.007 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 06:51:40.007 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 06:51:40.008 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 06:51:40.008 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 06:51:40.008 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 06:51:40.009 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 06:51:40.009 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 06:51:40.009 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:51:40.010 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 06:51:40.010 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 06:51:40.653 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 06:51:40.654 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 06:51:40.655 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 06:51:40.655 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 06:51:40.656 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 06:51:40.656 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 06:51:41.457 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 06:51:41.576 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
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+tiktoken==0.13.0
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+huggingface_hub==1.21.0
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+black==26.5.1
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+beartype==0.22.9
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+cymem==2.0.13
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+fastcore==1.13.6
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+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
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+asttokens==3.0.1
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+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
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+MarkupSafe==3.0.3
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+mkl==2026.0.0
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+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
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+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..67bdbd4aefec58e59f809dc7b9da90a1588e5ddf
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T06:51:38.702677Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619657060352"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "yly3mbj4ao9mlwivqdok6ukqwbvnyl58"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..9f97064d3d537a513217464167c30a94bcb13db1
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,11 @@
+{"time":"2026-06-29T06:51:38.953082389Z","level":"INFO","msg":"wandb-core"}
+{"time":"2026-06-29T06:51:38.954450188Z","level":"INFO","msg":"stream: starting","core version":"0.28.0"}
+{"time":"2026-06-29T06:51:39.265088338Z","level":"INFO","msg":"stream: created new stream","id":"rgt7q8d2"}
+{"time":"2026-06-29T06:51:39.265168152Z","level":"INFO","msg":"handler: started"}
+{"time":"2026-06-29T06:51:39.268211858Z","level":"INFO","msg":"stream: started"}
+{"time":"2026-06-29T06:51:39.268238142Z","level":"INFO","msg":"writer: started","stream_id":"rgt7q8d2"}
+{"time":"2026-06-29T06:51:39.268285857Z","level":"INFO","msg":"sender: started"}
+{"time":"2026-06-29T06:51:39.94896893Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":1729,"console_lines":1}
+{"time":"2026-06-29T06:51:40.313841183Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T06:51:54.950137358Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":104,"events_lines":2,"console_offset":1730,"console_lines":132,"uploaded_len":2}
+{"time":"2026-06-29T06:51:55.231797999Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..86aa08035124ea8696c8ca34e5269f23d95a93ba
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
+2026-06-29 06:51:38,720 INFO    MainThread:27322 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_setup.py:_flush():81] Configure stats pid to 27322
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug.log
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/logs/debug-internal.log
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_init.py:init():768] calling init triggers
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 06:51:38,721 INFO    MainThread:27322 [wandb_init.py:init():816] starting backend
+2026-06-29 06:51:38,943 INFO    MainThread:27322 [wandb_init.py:init():831] sending inform_init request
+2026-06-29 06:51:39,268 INFO    MainThread:27322 [wandb_init.py:init():836] backend started and connected
+2026-06-29 06:51:39,271 INFO    MainThread:27322 [wandb_init.py:init():906] updated telemetry
+2026-06-29 06:51:39,302 INFO    MainThread:27322 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 06:51:39,745 INFO    MainThread:27322 [wandb_init.py:init():969] run resumed
+2026-06-29 06:51:39,746 INFO    MainThread:27322 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 06:51:39,943 INFO    MainThread:27322 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 06:51:39,944 INFO    MainThread:27322 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 06:51:39,944 INFO    MainThread:27322 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 06:51:39,944 INFO    MainThread:27322 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 06:51:39,945 INFO    MainThread:27322 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_065138-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 07:13:55.621 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 07:13:55.624 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.625 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 07:13:55.625 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 07:13:55.625 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 07:13:55.626 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 07:13:55.627 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 07:13:55.627 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.627 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 07:13:55.628 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.639 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 07:13:55.639 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 07:13:55.640 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 07:13:55.640 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 07:13:55.641 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 07:13:55.641 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 07:13:55.641 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 07:13:55.642 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 07:13:55.642 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 07:13:55.643 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 07:13:55.643 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.643 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 07:13:55.644 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.644 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 07:13:55.645 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 07:13:55.645 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 07:13:55.645 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 07:13:55.646 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 07:13:55.646 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.647 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 07:13:55.647 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.647 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 07:13:55.648 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 07:13:55.648 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 07:13:55.649 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 07:13:55.649 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 07:13:55.649 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 07:13:55.650 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 07:13:55.650 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.651 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 07:13:55.651 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.652 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 07:13:55.652 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 07:13:55.653 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 07:13:55.653 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 07:13:55.653 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 07:13:55.654 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 07:13:55.654 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 07:13:55.655 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.655 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 07:13:55.655 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.656 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 07:13:55.656 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 07:13:55.657 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 07:13:55.657 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 07:13:55.658 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 07:13:55.658 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 07:13:55.658 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 07:13:55.659 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 07:13:55.659 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 07:13:55.660 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 07:13:55.660 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 07:13:55.660 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 07:13:55.661 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 07:13:55.661 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 07:13:55.661 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 07:13:55.662 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 07:13:55.662 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 07:13:55.663 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 07:13:55.663 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 07:13:55.663 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 07:13:55.664 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 07:13:55.664 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 07:13:55.665 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 07:13:55.665 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 07:13:55.665 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 07:13:55.666 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 07:13:55.666 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.667 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 07:13:55.667 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.667 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 07:13:55.668 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 07:13:55.668 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 07:13:55.669 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 07:13:55.669 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 07:13:55.670 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 07:13:55.670 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 07:13:55.671 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 07:13:55.671 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 07:13:55.672 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 07:13:55.672 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 07:13:55.673 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 07:13:55.673 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 07:13:55.674 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 07:13:55.674 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 07:13:55.675 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 07:13:55.675 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 07:13:55.676 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 07:13:55.676 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 07:13:55.677 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 07:13:55.678 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 07:13:55.678 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 07:13:55.679 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 07:13:55.679 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 07:13:55.680 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.680 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 07:13:55.681 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 07:13:55.681 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:13:55.682 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:13:55.683 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 07:13:55.683 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 07:13:55.684 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 07:13:55.685 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 07:13:55.685 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 07:13:55.686 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 07:13:55.686 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 07:13:55.687 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 07:13:55.688 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 07:13:55.688 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 07:13:55.689 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 07:13:55.689 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:13:55.690 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 07:13:55.691 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 07:13:56.424 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 07:13:56.425 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 07:13:56.425 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 07:13:56.426 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 07:13:56.426 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 07:13:56.427 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 07:13:57.305 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 07:13:57.438 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e916913813dcd1e4c20db7b22a342a065b2aa199
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T07:13:54.575280Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619649789952"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "1f94vp85vcyb83jmi8kgktxq1yicuw35"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..c567b54666fb299dfb5ecb1f11624cdc8b3b12c0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,21 @@
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+{"time":"2026-06-29T07:13:55.624824457Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":1862,"console_lines":1}
+{"time":"2026-06-29T07:13:55.881138444Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T07:14:25.855740125Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T07:14:40.803674702Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T07:14:55.800694613Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T07:15:10.625267707Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":114,"events_lines":2}
+{"time":"2026-06-29T07:15:10.859078116Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-06-29T07:15:25.625520136Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":116,"events_lines":2}
+{"time":"2026-06-29T07:15:25.812699952Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..22878a3950a5e1cd3a35daf3cfd07714e09aaae0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_071354-rgt7q8d2/logs/debug.log
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 07:43:27.916 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 07:43:27.917 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.917 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 07:43:27.918 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 07:43:27.918 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 07:43:27.918 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 07:43:27.919 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 07:43:27.919 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.920 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 07:43:27.920 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.932 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 07:43:27.932 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 07:43:27.932 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 07:43:27.933 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 07:43:27.933 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 07:43:27.934 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 07:43:27.934 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 07:43:27.935 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 07:43:27.935 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 07:43:27.935 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 07:43:27.936 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.936 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 07:43:27.937 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.937 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 07:43:27.938 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 07:43:27.938 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 07:43:27.938 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 07:43:27.939 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 07:43:27.939 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.939 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 07:43:27.940 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.940 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 07:43:27.941 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 07:43:27.941 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 07:43:27.942 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 07:43:27.942 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 07:43:27.942 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 07:43:27.943 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 07:43:27.943 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.944 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 07:43:27.944 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.944 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 07:43:27.945 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 07:43:27.945 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 07:43:27.946 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 07:43:27.946 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 07:43:27.946 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 07:43:27.947 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 07:43:27.947 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.947 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 07:43:27.948 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.948 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 07:43:27.949 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 07:43:27.949 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 07:43:27.949 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 07:43:27.950 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 07:43:27.950 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 07:43:27.951 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 07:43:27.951 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 07:43:27.951 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 07:43:27.952 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 07:43:27.952 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 07:43:27.952 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 07:43:27.953 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 07:43:27.953 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 07:43:27.954 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 07:43:27.954 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 07:43:27.954 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 07:43:27.955 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 07:43:27.955 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 07:43:27.955 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 07:43:27.956 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 07:43:27.956 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 07:43:27.957 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 07:43:27.957 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 07:43:27.958 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 07:43:27.958 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 07:43:27.958 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.959 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 07:43:27.959 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.960 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 07:43:27.960 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 07:43:27.960 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 07:43:27.961 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 07:43:27.961 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 07:43:27.961 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 07:43:27.962 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 07:43:27.962 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 07:43:27.963 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 07:43:27.963 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 07:43:27.963 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 07:43:27.964 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 07:43:27.964 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 07:43:27.965 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 07:43:27.965 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 07:43:27.965 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 07:43:27.966 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 07:43:27.966 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 07:43:27.966 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 07:43:27.967 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 07:43:27.967 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 07:43:27.968 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 07:43:27.968 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 07:43:27.968 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 07:43:27.969 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.969 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 07:43:27.970 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 07:43:27.970 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:43:27.970 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:43:27.971 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 07:43:27.971 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 07:43:27.972 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 07:43:27.972 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 07:43:27.972 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 07:43:27.973 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 07:43:27.973 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 07:43:27.974 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 07:43:27.974 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 07:43:27.975 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 07:43:27.975 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 07:43:27.975 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 07:43:27.976 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 07:43:27.976 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 07:43:28.631 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 07:43:28.632 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 07:43:28.632 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 07:43:28.633 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 07:43:28.633 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 07:43:28.634 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 07:43:29.471 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 07:43:29.602 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
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+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
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+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
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+h5py==3.16.0
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+intel-openmp==2026.0.0
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+MarkupSafe==3.0.3
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+mkl==2026.0.0
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+pybind11==3.0.4
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+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8bed01af4a89671037a4d23cf1e71966a44ee4d5
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T07:43:26.636371Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619653443584"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
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+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "kf52d6qlkx7c027t0ftb6fu7zftaeml9"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..dc29662c2835c1fb07c29bfc447d83ad15a9384c
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3a9c6c64caee856acf86e1245384ad36637056d8
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_074326-rgt7q8d2/logs/debug.log
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/output.log
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+2026-06-29 08:08:34.074 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 08:08:34.075 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.075 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 08:08:34.076 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 08:08:34.076 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 08:08:34.077 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 08:08:34.077 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 08:08:34.078 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.078 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 08:08:34.079 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.090 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 08:08:34.091 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 08:08:34.091 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 08:08:34.092 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 08:08:34.092 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 08:08:34.093 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 08:08:34.093 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 08:08:34.093 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 08:08:34.094 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 08:08:34.094 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 08:08:34.095 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.095 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 08:08:34.095 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.096 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 08:08:34.096 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 08:08:34.097 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 08:08:34.097 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 08:08:34.097 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 08:08:34.098 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.098 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 08:08:34.099 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.099 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 08:08:34.099 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 08:08:34.100 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 08:08:34.100 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 08:08:34.100 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 08:08:34.101 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 08:08:34.101 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 08:08:34.102 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.102 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 08:08:34.102 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.103 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 08:08:34.103 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 08:08:34.104 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 08:08:34.104 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 08:08:34.104 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 08:08:34.105 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 08:08:34.105 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 08:08:34.106 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.106 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 08:08:34.106 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.107 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 08:08:34.107 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 08:08:34.107 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 08:08:34.108 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 08:08:34.108 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 08:08:34.109 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 08:08:34.109 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 08:08:34.109 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 08:08:34.110 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 08:08:34.110 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 08:08:34.111 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 08:08:34.111 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 08:08:34.111 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 08:08:34.112 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 08:08:34.112 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 08:08:34.113 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 08:08:34.113 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 08:08:34.113 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 08:08:34.114 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 08:08:34.114 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 08:08:34.114 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 08:08:34.115 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 08:08:34.115 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 08:08:34.116 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 08:08:34.116 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 08:08:34.116 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 08:08:34.117 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.117 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 08:08:34.118 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.118 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 08:08:34.118 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 08:08:34.119 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 08:08:34.119 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 08:08:34.120 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 08:08:34.120 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 08:08:34.120 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 08:08:34.121 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 08:08:34.121 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 08:08:34.122 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 08:08:34.122 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 08:08:34.123 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 08:08:34.123 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 08:08:34.124 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 08:08:34.124 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 08:08:34.124 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 08:08:34.125 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 08:08:34.125 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 08:08:34.126 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 08:08:34.126 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 08:08:34.126 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 08:08:34.127 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 08:08:34.127 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 08:08:34.128 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 08:08:34.128 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.128 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 08:08:34.129 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 08:08:34.129 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:08:34.129 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:08:34.130 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 08:08:34.130 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 08:08:34.131 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 08:08:34.131 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 08:08:34.131 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 08:08:34.132 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 08:08:34.132 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 08:08:34.133 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 08:08:34.133 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 08:08:34.134 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 08:08:34.134 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 08:08:34.134 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:08:34.135 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 08:08:34.135 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 08:08:34.797 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 08:08:34.798 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 08:08:34.799 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 08:08:34.799 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 08:08:34.800 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 08:08:34.800 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 08:08:35.655 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 08:08:35.788 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9dd96d0af64791f30bd812f41ac06d0ea60daa34
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_080832-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T08:08:32.951420Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
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+}
\ No newline at end of file
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new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/output.log
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+2026-06-29 08:31:45.966 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 08:31:45.968 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 08:31:45.969 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 08:31:45.969 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
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+2026-06-29 08:31:45.970 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
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+2026-06-29 08:31:45.985 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
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+2026-06-29 08:31:45.986 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 08:31:45.986 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 08:31:45.991 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 08:31:45.993 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
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+2026-06-29 08:31:45.994 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 08:31:45.997 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 08:31:45.998 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 08:31:45.998 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 08:31:45.999 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
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+2026-06-29 08:31:46.001 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
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+2026-06-29 08:31:46.002 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
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+2026-06-29 08:31:46.003 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
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+2026-06-29 08:31:46.005 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 08:31:46.005 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 08:31:46.006 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 08:31:46.006 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 08:31:46.006 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 08:31:46.007 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 08:31:46.007 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 08:31:46.008 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 08:31:46.008 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 08:31:46.008 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 08:31:46.009 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 08:31:46.009 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 08:31:46.010 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 08:31:46.010 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 08:31:46.010 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 08:31:46.011 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 08:31:46.011 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 08:31:46.011 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 08:31:46.012 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 08:31:46.012 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 08:31:46.013 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 08:31:46.013 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 08:31:46.013 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 08:31:46.014 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 08:31:46.014 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 08:31:46.015 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 08:31:46.015 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 08:31:46.015 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 08:31:46.016 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 08:31:46.016 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 08:31:46.017 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 08:31:46.017 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 08:31:46.017 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 08:31:46.018 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 08:31:46.018 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 08:31:46.019 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 08:31:46.019 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 08:31:46.019 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 08:31:46.020 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 08:31:46.020 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 08:31:46.021 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 08:31:46.021 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 08:31:46.021 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 08:31:46.022 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 08:31:46.022 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 08:31:46.022 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 08:31:46.023 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 08:31:46.023 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 08:31:46.024 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 08:31:46.024 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:31:46.024 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:31:46.025 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 08:31:46.025 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 08:31:46.025 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 08:31:46.026 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 08:31:46.028 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 08:31:46.029 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 08:31:46.029 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 08:31:46.030 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 08:31:46.030 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 08:31:46.031 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 08:31:46.031 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 08:31:46.032 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 08:31:46.032 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 08:31:46.032 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 08:31:46.714 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 08:31:46.716 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 08:31:46.716 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 08:31:46.717 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 08:31:46.717 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 08:31:46.718 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 08:31:47.601 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 08:31:47.740 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0459d02a54c981d6d182ed82071ab3244f225101
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_083144-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T08:31:44.197875Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
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+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
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+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
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+  "gpu_nvidia": [
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+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
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+    {
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+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
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+  "cudaVersion": "13.0",
+  "writerId": "4vf8o7cohfwyex8a7zw65mato5x9kufn"
+}
\ No newline at end of file
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new file mode 100644
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@@ -0,0 +1,133 @@
+2026-06-29 09:01:12.954 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 09:01:12.955 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.956 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 09:01:12.956 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 09:01:12.956 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 09:01:12.957 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 09:01:12.958 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 09:01:12.958 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.958 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 09:01:12.959 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.969 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 09:01:12.970 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 09:01:12.970 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 09:01:12.971 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 09:01:12.971 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 09:01:12.972 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 09:01:12.972 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 09:01:12.973 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 09:01:12.973 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 09:01:12.974 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 09:01:12.974 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.975 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 09:01:12.975 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.976 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 09:01:12.976 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 09:01:12.976 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 09:01:12.977 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 09:01:12.977 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 09:01:12.978 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.978 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 09:01:12.978 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.979 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 09:01:12.979 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 09:01:12.980 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 09:01:12.980 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 09:01:12.980 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 09:01:12.981 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 09:01:12.981 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 09:01:12.982 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.982 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 09:01:12.982 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.983 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 09:01:12.983 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 09:01:12.984 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 09:01:12.984 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 09:01:12.984 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 09:01:12.985 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 09:01:12.985 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 09:01:12.986 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.986 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 09:01:12.986 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.987 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 09:01:12.987 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 09:01:12.988 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 09:01:12.988 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 09:01:12.988 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 09:01:12.989 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 09:01:12.989 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 09:01:12.990 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 09:01:12.990 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 09:01:12.990 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 09:01:12.991 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 09:01:12.991 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 09:01:12.991 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 09:01:12.992 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 09:01:12.992 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 09:01:12.993 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 09:01:12.993 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 09:01:12.993 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 09:01:12.994 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 09:01:12.994 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 09:01:12.994 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 09:01:12.995 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 09:01:12.995 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 09:01:12.996 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 09:01:12.996 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 09:01:12.997 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 09:01:12.997 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.997 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 09:01:12.998 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 09:01:12.998 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 09:01:12.998 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 09:01:12.999 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 09:01:12.999 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 09:01:13.000 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 09:01:13.000 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 09:01:13.000 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 09:01:13.001 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 09:01:13.001 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 09:01:13.002 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 09:01:13.002 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 09:01:13.002 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 09:01:13.003 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 09:01:13.003 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 09:01:13.004 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 09:01:13.004 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 09:01:13.005 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 09:01:13.005 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 09:01:13.005 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 09:01:13.006 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 09:01:13.006 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 09:01:13.006 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 09:01:13.007 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 09:01:13.007 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 09:01:13.008 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 09:01:13.008 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 09:01:13.009 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 09:01:13.009 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:01:13.009 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:01:13.010 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 09:01:13.010 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 09:01:13.011 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 09:01:13.011 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 09:01:13.011 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 09:01:13.012 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 09:01:13.013 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 09:01:13.013 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 09:01:13.013 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 09:01:13.014 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 09:01:13.014 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 09:01:13.015 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:01:13.015 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 09:01:13.015 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 09:01:13.664 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 09:01:13.665 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 09:01:13.665 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 09:01:13.666 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 09:01:13.666 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 09:01:13.666 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 09:01:14.482 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 09:01:14.610 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
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+annotated-types==0.7.0
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+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
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+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
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+spacy==3.8.7
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+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
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+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
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+typing-inspection==0.4.2
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+uvloop==0.22.1
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+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..94c35fece0cd75e0876d96ff77a840843a4a90bd
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T09:01:11.231529Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619646357504"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "60llgpbtr2s086nu7d1nexkqdv5wfmpz"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/run-rgt7q8d2.wandb
new file mode 100644
index 0000000000000000000000000000000000000000..caee813177a384129c89156862ffe85349480eeb
Binary files /dev/null and b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/run-rgt7q8d2.wandb differ
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..87b3be340065c0a9bb9506ac748e8e2ffb93b599
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 09:24:44.137 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 09:24:44.140 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.141 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 09:24:44.141 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 09:24:44.142 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 09:24:44.142 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 09:24:44.143 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 09:24:44.145 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.147 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 09:24:44.148 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.157 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 09:24:44.158 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 09:24:44.158 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 09:24:44.159 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 09:24:44.159 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 09:24:44.160 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 09:24:44.160 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 09:24:44.160 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 09:24:44.161 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 09:24:44.161 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 09:24:44.162 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.162 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 09:24:44.162 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.163 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 09:24:44.164 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 09:24:44.164 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 09:24:44.164 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 09:24:44.165 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 09:24:44.165 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.166 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 09:24:44.166 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.167 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 09:24:44.167 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 09:24:44.167 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 09:24:44.168 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 09:24:44.168 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 09:24:44.169 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 09:24:44.169 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 09:24:44.169 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.170 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 09:24:44.170 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.171 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 09:24:44.171 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 09:24:44.171 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 09:24:44.172 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 09:24:44.172 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 09:24:44.172 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 09:24:44.173 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 09:24:44.173 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.174 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 09:24:44.174 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.174 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 09:24:44.175 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 09:24:44.175 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 09:24:44.175 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 09:24:44.176 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 09:24:44.176 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 09:24:44.177 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 09:24:44.177 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 09:24:44.178 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 09:24:44.178 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 09:24:44.178 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 09:24:44.179 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 09:24:44.179 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 09:24:44.180 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 09:24:44.180 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 09:24:44.180 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 09:24:44.181 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 09:24:44.181 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 09:24:44.181 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 09:24:44.182 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 09:24:44.182 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 09:24:44.182 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 09:24:44.183 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 09:24:44.183 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 09:24:44.184 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 09:24:44.184 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 09:24:44.185 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.185 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 09:24:44.185 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.186 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 09:24:44.186 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 09:24:44.187 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 09:24:44.187 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 09:24:44.187 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 09:24:44.188 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 09:24:44.188 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 09:24:44.189 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 09:24:44.189 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 09:24:44.190 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 09:24:44.190 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 09:24:44.190 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 09:24:44.191 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 09:24:44.191 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 09:24:44.191 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 09:24:44.192 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 09:24:44.192 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 09:24:44.193 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 09:24:44.193 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 09:24:44.194 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 09:24:44.194 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 09:24:44.194 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 09:24:44.195 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 09:24:44.195 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 09:24:44.195 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.196 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 09:24:44.196 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 09:24:44.197 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:24:44.197 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:24:44.198 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 09:24:44.198 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 09:24:44.199 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 09:24:44.199 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 09:24:44.199 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 09:24:44.200 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 09:24:44.200 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 09:24:44.201 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 09:24:44.201 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 09:24:44.201 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 09:24:44.202 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 09:24:44.202 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:24:44.203 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 09:24:44.203 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 09:24:44.851 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 09:24:44.852 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 09:24:44.853 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 09:24:44.853 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 09:24:44.854 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 09:24:44.854 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 09:24:45.797 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 09:24:45.943 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a70f7e49baf638c245f5f92962e0b06bb41785a3
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T09:24:42.495161Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619647922176"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "w48u58jao4mbjqymrnc7coajcqnbweum"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/logs/debug-internal.log
new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..c852937f57f8cab50d54f04ca5c7f7ce540e8b1c
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+2026-06-29 09:24:42,515 INFO    MainThread:39174 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_092442-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/output.log
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index 0000000000000000000000000000000000000000..b0a7a7cf9d485d67180bce61d1e8870ce8f4c4aa
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@@ -0,0 +1,133 @@
+2026-06-29 09:49:43.642 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 09:49:43.644 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.645 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 09:49:43.645 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 09:49:43.646 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 09:49:43.646 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 09:49:43.646 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 09:49:43.647 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.647 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 09:49:43.647 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.657 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 09:49:43.658 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 09:49:43.658 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 09:49:43.659 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 09:49:43.659 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 09:49:43.660 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 09:49:43.660 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 09:49:43.661 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 09:49:43.661 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
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+2026-06-29 09:49:43.662 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.662 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 09:49:43.663 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.663 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 09:49:43.663 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 09:49:43.664 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 09:49:43.664 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 09:49:43.665 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 09:49:43.665 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.665 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 09:49:43.666 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.666 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 09:49:43.667 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 09:49:43.667 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 09:49:43.668 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 09:49:43.669 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 09:49:43.669 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 09:49:43.670 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.670 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 09:49:43.671 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.671 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 09:49:43.672 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 09:49:43.672 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 09:49:43.672 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 09:49:43.673 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 09:49:43.673 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 09:49:43.674 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 09:49:43.674 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.675 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 09:49:43.675 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.676 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 09:49:43.676 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 09:49:43.677 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 09:49:43.677 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 09:49:43.677 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 09:49:43.678 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 09:49:43.678 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 09:49:43.679 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 09:49:43.679 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 09:49:43.680 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 09:49:43.680 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 09:49:43.680 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 09:49:43.681 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 09:49:43.681 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 09:49:43.682 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 09:49:43.682 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 09:49:43.682 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 09:49:43.683 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 09:49:43.683 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 09:49:43.684 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 09:49:43.684 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 09:49:43.684 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 09:49:43.685 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 09:49:43.685 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 09:49:43.686 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 09:49:43.686 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 09:49:43.687 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.687 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 09:49:43.687 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.688 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 09:49:43.688 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 09:49:43.689 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 09:49:43.689 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 09:49:43.690 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 09:49:43.690 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 09:49:43.690 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 09:49:43.691 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 09:49:43.691 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 09:49:43.692 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 09:49:43.692 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 09:49:43.693 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 09:49:43.693 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 09:49:43.693 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 09:49:43.694 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 09:49:43.694 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 09:49:43.695 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 09:49:43.695 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 09:49:43.696 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 09:49:43.696 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 09:49:43.696 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 09:49:43.697 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 09:49:43.697 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 09:49:43.698 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 09:49:43.698 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.699 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 09:49:43.699 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 09:49:43.700 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:49:43.700 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:49:43.701 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 09:49:43.701 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 09:49:43.701 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 09:49:43.702 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 09:49:43.702 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 09:49:43.703 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 09:49:43.703 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 09:49:43.704 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 09:49:43.704 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 09:49:43.705 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 09:49:43.705 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 09:49:43.705 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 09:49:43.706 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 09:49:43.706 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 09:49:44.359 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 09:49:44.362 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 09:49:44.362 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 09:49:44.363 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 09:49:44.363 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 09:49:44.364 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 09:49:45.238 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 09:49:45.437 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
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+idna==3.18
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+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
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+urllib3==2.7.0
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+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
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+tifffile==2026.6.1
+tenacity==9.1.4
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+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
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+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
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+multidict==6.7.1
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+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
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+docstring_parser==0.18.0
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+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
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+tokenizers==0.22.2
+termcolor==3.3.0
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+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
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+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+fire==0.7.0
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+trl==0.8.6
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+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb4de72fc6a623e130773285cee9f35352f2273e
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T09:49:42.047352Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619651211264"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "vl9lvtrg9x0cbe4a35lbvnkv9ocv888u"
+}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..95a7951dae073aae0d59919e2705639e8828086e
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/logs/debug-internal.log
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..b640e2963b267924c049ca7de8576497fa6d0176
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/logs/debug.log
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+2026-06-29 09:49:42,064 INFO    MainThread:41145 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/logs/debug-internal.log
+2026-06-29 09:49:42,064 INFO    MainThread:41145 [wandb_init.py:init():768] calling init triggers
+2026-06-29 09:49:42,064 INFO    MainThread:41145 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_094942-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..cba0eeae211bbcb64dd2b621bb6072465b614770
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@@ -0,0 +1,133 @@
+2026-06-29 10:12:15.276 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 10:12:15.278 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.279 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 10:12:15.279 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 10:12:15.280 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 10:12:15.280 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 10:12:15.281 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 10:12:15.281 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.282 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 10:12:15.282 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.294 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 10:12:15.294 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 10:12:15.295 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 10:12:15.295 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 10:12:15.295 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 10:12:15.296 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 10:12:15.296 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 10:12:15.297 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 10:12:15.297 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
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+2026-06-29 10:12:15.299 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 10:12:15.299 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.299 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 10:12:15.300 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
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+2026-06-29 10:12:15.302 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 10:12:15.302 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.303 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 10:12:15.303 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 10:12:15.304 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 10:12:15.304 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 10:12:15.305 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 10:12:15.305 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 10:12:15.306 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 10:12:15.306 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.307 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 10:12:15.307 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.307 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 10:12:15.308 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 10:12:15.308 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 10:12:15.309 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 10:12:15.309 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 10:12:15.309 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 10:12:15.310 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 10:12:15.310 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.311 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 10:12:15.311 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.311 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 10:12:15.312 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 10:12:15.312 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 10:12:15.313 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 10:12:15.313 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 10:12:15.314 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 10:12:15.314 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 10:12:15.314 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 10:12:15.315 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 10:12:15.315 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 10:12:15.316 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 10:12:15.316 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 10:12:15.317 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 10:12:15.317 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 10:12:15.317 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 10:12:15.318 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 10:12:15.318 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 10:12:15.319 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 10:12:15.319 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 10:12:15.319 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 10:12:15.320 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 10:12:15.320 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 10:12:15.321 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 10:12:15.321 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 10:12:15.321 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 10:12:15.322 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 10:12:15.322 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.323 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 10:12:15.323 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.324 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 10:12:15.324 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 10:12:15.324 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 10:12:15.325 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 10:12:15.325 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 10:12:15.326 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 10:12:15.326 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 10:12:15.326 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 10:12:15.327 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 10:12:15.327 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 10:12:15.328 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 10:12:15.328 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 10:12:15.328 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 10:12:15.329 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 10:12:15.329 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 10:12:15.330 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 10:12:15.330 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 10:12:15.330 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 10:12:15.331 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 10:12:15.331 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 10:12:15.332 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 10:12:15.332 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 10:12:15.332 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 10:12:15.333 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 10:12:15.333 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.334 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 10:12:15.334 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 10:12:15.334 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:12:15.335 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:12:15.335 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 10:12:15.336 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 10:12:15.336 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 10:12:15.337 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 10:12:15.337 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 10:12:15.337 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 10:12:15.338 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 10:12:15.338 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 10:12:15.339 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 10:12:15.339 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 10:12:15.340 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 10:12:15.340 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:12:15.340 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 10:12:15.341 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 10:12:16.012 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 10:12:16.013 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 10:12:16.014 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 10:12:16.014 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 10:12:16.015 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 10:12:16.015 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 10:12:16.892 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 10:12:17.016 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
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+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
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+docstring_parser==0.18.0
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+typeguard==4.5.2
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+cuda-bindings==13.0.3
+cattrs==26.1.0
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+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
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+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
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+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
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+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+distro==1.9.0
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+tiktoken==0.13.0
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+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
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+huggingface_hub==1.21.0
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+black==26.5.1
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+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3d8da4abab770eca4abc6cc87fd3ae0c1ac41b6
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T10:12:13.597030Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619653255168"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "bscqs4q3ajxtyidamselb601hl6sq6g5"
+}
\ No newline at end of file
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new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..6c626c09b585a5614011b940023fe62c4bcf0cdd
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+2026-06-29 10:12:13,616 INFO    MainThread:43094 [wandb_init.py:init():768] calling init triggers
+2026-06-29 10:12:13,616 INFO    MainThread:43094 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_101213-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/output.log
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+2026-06-29 10:38:13.130 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.131 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 10:38:13.131 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 10:38:13.132 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 10:38:13.132 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 10:38:13.133 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 10:38:13.133 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.134 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 10:38:13.134 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.145 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 10:38:13.145 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 10:38:13.146 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 10:38:13.146 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 10:38:13.147 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 10:38:13.147 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 10:38:13.147 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 10:38:13.148 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 10:38:13.149 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 10:38:13.149 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 10:38:13.149 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.150 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 10:38:13.150 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.151 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 10:38:13.151 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 10:38:13.151 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 10:38:13.152 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 10:38:13.152 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 10:38:13.153 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.153 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 10:38:13.154 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.154 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 10:38:13.155 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 10:38:13.155 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 10:38:13.156 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 10:38:13.156 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 10:38:13.156 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 10:38:13.157 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 10:38:13.157 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.158 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 10:38:13.158 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.159 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 10:38:13.159 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 10:38:13.160 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 10:38:13.160 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 10:38:13.160 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 10:38:13.161 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 10:38:13.161 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 10:38:13.161 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.162 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 10:38:13.162 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.163 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 10:38:13.163 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 10:38:13.163 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 10:38:13.164 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 10:38:13.164 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 10:38:13.165 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 10:38:13.165 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 10:38:13.166 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 10:38:13.166 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 10:38:13.167 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 10:38:13.167 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 10:38:13.167 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 10:38:13.168 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 10:38:13.168 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 10:38:13.169 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 10:38:13.169 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 10:38:13.170 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 10:38:13.170 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 10:38:13.170 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 10:38:13.171 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 10:38:13.171 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 10:38:13.172 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 10:38:13.172 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 10:38:13.172 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 10:38:13.173 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 10:38:13.173 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 10:38:13.174 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.174 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 10:38:13.175 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.175 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 10:38:13.175 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 10:38:13.176 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 10:38:13.176 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 10:38:13.177 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 10:38:13.177 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 10:38:13.178 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 10:38:13.178 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 10:38:13.179 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 10:38:13.179 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 10:38:13.179 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 10:38:13.180 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 10:38:13.180 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 10:38:13.181 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 10:38:13.181 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 10:38:13.181 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 10:38:13.182 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 10:38:13.182 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 10:38:13.182 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 10:38:13.183 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 10:38:13.183 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 10:38:13.184 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 10:38:13.184 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 10:38:13.185 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 10:38:13.185 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.186 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 10:38:13.186 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 10:38:13.187 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:38:13.187 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:38:13.187 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 10:38:13.188 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 10:38:13.188 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 10:38:13.189 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 10:38:13.189 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 10:38:13.190 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 10:38:13.190 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 10:38:13.191 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 10:38:13.191 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 10:38:13.192 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 10:38:13.192 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 10:38:13.193 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 10:38:13.193 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 10:38:13.194 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 10:38:13.849 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 10:38:13.850 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 10:38:13.850 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 10:38:13.851 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 10:38:13.851 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 10:38:13.852 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 10:38:14.787 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 10:38:14.921 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
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+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
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+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
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+grpcio==1.81.1
+h11==0.16.0
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+httpcore==1.0.9
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+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
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+langcodes==3.5.1
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+murmurhash==1.0.15
+mypy_extensions==1.1.0
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+networkx==3.6.1
+nvidia-curand==10.4.0.35
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+h5py==3.16.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..942c9dafaac4ea96e3c78acd6209aaf91ca687ef
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T10:38:11.494785Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619651739648"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "mlb745g8cc7vbk3tjwgca8tuptdfgxap"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..01f5b9ca5a314f5ddcc2cdee43cf4f767558eabb
--- /dev/null
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..d1d16fd73dde755a344930f533489c045d9097ee
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug.log
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+2026-06-29 10:38:11,516 INFO    MainThread:45190 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 10:38:11,516 INFO    MainThread:45190 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug.log
+2026-06-29 10:38:11,516 INFO    MainThread:45190 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/logs/debug-internal.log
+2026-06-29 10:38:11,516 INFO    MainThread:45190 [wandb_init.py:init():768] calling init triggers
+2026-06-29 10:38:11,516 INFO    MainThread:45190 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/run-rgt7q8d2.wandb
new file mode 100644
index 0000000000000000000000000000000000000000..a7920701a3e858e91e56d38630a4ee03a1c8c002
Binary files /dev/null and b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_103811-rgt7q8d2/run-rgt7q8d2.wandb differ
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..5700334ac261ac1ede3af82f0ade264f7a4c5a5c
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 11:04:35.685 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 11:04:35.685 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.686 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 11:04:35.686 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 11:04:35.686 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 11:04:35.687 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 11:04:35.688 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 11:04:35.688 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.688 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 11:04:35.689 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.700 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 11:04:35.701 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 11:04:35.701 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 11:04:35.702 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 11:04:35.702 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 11:04:35.703 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 11:04:35.703 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 11:04:35.703 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 11:04:35.704 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 11:04:35.704 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 11:04:35.705 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.705 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 11:04:35.705 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.706 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 11:04:35.706 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 11:04:35.707 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 11:04:35.707 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 11:04:35.707 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 11:04:35.708 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.708 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 11:04:35.709 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.709 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 11:04:35.709 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 11:04:35.710 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 11:04:35.710 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 11:04:35.710 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 11:04:35.711 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 11:04:35.711 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 11:04:35.712 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.712 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 11:04:35.713 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.713 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 11:04:35.713 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 11:04:35.714 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 11:04:35.714 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 11:04:35.715 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 11:04:35.715 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 11:04:35.716 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 11:04:35.716 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.716 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 11:04:35.717 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.717 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 11:04:35.718 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 11:04:35.718 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 11:04:35.719 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 11:04:35.719 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 11:04:35.719 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 11:04:35.720 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 11:04:35.720 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 11:04:35.720 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 11:04:35.721 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 11:04:35.721 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 11:04:35.722 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 11:04:35.722 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 11:04:35.722 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 11:04:35.723 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 11:04:35.723 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 11:04:35.724 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 11:04:35.724 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 11:04:35.725 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 11:04:35.725 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 11:04:35.726 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 11:04:35.726 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 11:04:35.727 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 11:04:35.727 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 11:04:35.727 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 11:04:35.728 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 11:04:35.728 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.729 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 11:04:35.729 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.730 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 11:04:35.730 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 11:04:35.731 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 11:04:35.731 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 11:04:35.732 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 11:04:35.732 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 11:04:35.733 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 11:04:35.733 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 11:04:35.733 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 11:04:35.734 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 11:04:35.734 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 11:04:35.735 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 11:04:35.736 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 11:04:35.736 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 11:04:35.736 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 11:04:35.737 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 11:04:35.737 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 11:04:35.737 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 11:04:35.738 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 11:04:35.738 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 11:04:35.739 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 11:04:35.740 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 11:04:35.740 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 11:04:35.741 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 11:04:35.741 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.741 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 11:04:35.742 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 11:04:35.742 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:04:35.743 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:04:35.743 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 11:04:35.744 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 11:04:35.744 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 11:04:35.744 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 11:04:35.745 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 11:04:35.745 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 11:04:35.745 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 11:04:35.746 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 11:04:35.746 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 11:04:35.747 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 11:04:35.747 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 11:04:35.748 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:04:35.748 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 11:04:35.748 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 11:04:36.401 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 11:04:36.402 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 11:04:36.403 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 11:04:36.403 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 11:04:36.404 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 11:04:36.404 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 11:04:37.311 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 11:04:37.441 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
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+tokenizers==0.22.2
+termcolor==3.3.0
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+dataset==2.0.0
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+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
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+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
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+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+executing==2.2.1
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+h5py==3.16.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f9000935cc50c85ed72c3ddaf2dcac7419da378
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T11:04:33.561166Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619657207808"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "a8atndlj2scgvsagmqm7nwkw7grxj439"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..92d3ea640314cefe1932bd82121c1b083d27dff1
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,30 @@
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+{"time":"2026-06-29T11:04:35.686837418Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":3059,"console_lines":1}
+{"time":"2026-06-29T11:04:36.321793492Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T11:04:51.339102556Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T11:05:06.119303818Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T11:07:06.07372209Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3ecf5de554c62172e19d2eefbd174ca51101f463
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
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+2026-06-29 11:04:33,582 INFO    MainThread:47400 [wandb_setup.py:_flush():81] Configure stats pid to 47400
+2026-06-29 11:04:33,582 INFO    MainThread:47400 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 11:04:33,583 INFO    MainThread:47400 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/logs/debug.log
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+2026-06-29 11:04:33,583 INFO    MainThread:47400 [wandb_init.py:init():768] calling init triggers
+2026-06-29 11:04:33,583 INFO    MainThread:47400 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 11:04:33,583 INFO    MainThread:47400 [wandb_init.py:init():816] starting backend
+2026-06-29 11:04:33,805 INFO    MainThread:47400 [wandb_init.py:init():831] sending inform_init request
+2026-06-29 11:04:34,124 INFO    MainThread:47400 [wandb_init.py:init():836] backend started and connected
+2026-06-29 11:04:34,127 INFO    MainThread:47400 [wandb_init.py:init():906] updated telemetry
+2026-06-29 11:04:34,159 INFO    MainThread:47400 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 11:04:35,484 INFO    MainThread:47400 [wandb_init.py:init():969] run resumed
+2026-06-29 11:04:35,486 INFO    MainThread:47400 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 11:04:35,683 INFO    MainThread:47400 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 11:04:35,683 INFO    MainThread:47400 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 11:04:35,683 INFO    MainThread:47400 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 11:04:35,683 INFO    MainThread:47400 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 11:04:35,684 INFO    MainThread:47400 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_110433-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/output.log
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 11:35:00.892 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 11:35:00.893 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.893 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 11:35:00.894 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 11:35:00.894 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 11:35:00.895 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 11:35:00.895 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 11:35:00.896 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.896 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 11:35:00.897 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.908 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 11:35:00.909 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 11:35:00.909 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 11:35:00.910 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 11:35:00.910 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 11:35:00.910 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 11:35:00.911 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 11:35:00.911 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 11:35:00.912 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 11:35:00.912 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 11:35:00.912 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.913 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 11:35:00.913 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.914 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 11:35:00.914 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 11:35:00.914 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 11:35:00.915 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 11:35:00.915 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 11:35:00.916 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.916 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 11:35:00.916 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.917 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 11:35:00.917 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 11:35:00.918 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 11:35:00.918 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 11:35:00.918 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 11:35:00.919 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 11:35:00.919 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 11:35:00.920 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.920 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 11:35:00.920 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.921 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 11:35:00.921 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 11:35:00.922 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 11:35:00.922 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 11:35:00.922 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 11:35:00.923 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 11:35:00.923 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 11:35:00.923 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.924 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 11:35:00.924 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.925 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 11:35:00.925 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 11:35:00.925 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 11:35:00.926 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 11:35:00.926 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 11:35:00.927 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 11:35:00.927 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 11:35:00.927 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 11:35:00.928 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 11:35:00.928 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 11:35:00.929 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 11:35:00.929 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 11:35:00.929 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 11:35:00.930 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 11:35:00.930 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 11:35:00.930 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 11:35:00.931 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 11:35:00.931 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 11:35:00.932 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 11:35:00.932 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 11:35:00.932 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 11:35:00.933 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 11:35:00.933 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 11:35:00.933 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 11:35:00.934 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 11:35:00.934 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 11:35:00.935 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.935 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 11:35:00.935 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.936 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 11:35:00.936 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 11:35:00.937 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 11:35:00.937 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 11:35:00.938 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 11:35:00.938 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 11:35:00.938 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 11:35:00.939 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 11:35:00.939 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 11:35:00.940 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 11:35:00.940 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 11:35:00.940 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 11:35:00.941 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 11:35:00.941 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 11:35:00.941 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 11:35:00.942 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 11:35:00.942 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 11:35:00.942 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 11:35:00.943 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 11:35:00.943 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 11:35:00.944 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 11:35:00.944 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 11:35:00.945 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 11:35:00.945 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 11:35:00.945 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.946 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 11:35:00.946 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 11:35:00.946 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:35:00.947 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:35:00.947 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 11:35:00.948 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 11:35:00.948 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 11:35:00.948 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 11:35:00.949 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 11:35:00.949 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 11:35:00.950 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 11:35:00.950 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 11:35:00.951 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 11:35:00.951 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 11:35:00.951 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 11:35:00.952 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:35:00.952 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 11:35:00.953 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 11:35:01.623 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 11:35:01.624 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 11:35:01.624 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 11:35:01.625 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 11:35:01.625 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 11:35:01.626 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 11:35:02.539 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 11:35:02.679 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d23f0b4bba6996af55c604cd188f8b07e5f454c9
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T11:34:58.737259Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619656695808"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "u8noxl1ty33m71k2j551emc9hywwdp5d"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..0c7169b5aca7449e909637fd74cbfc4ccc8442e8
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,11 @@
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+{"time":"2026-06-29T11:34:59.45188232Z","level":"INFO","msg":"writer: started","stream_id":"rgt7q8d2"}
+{"time":"2026-06-29T11:34:59.451940852Z","level":"INFO","msg":"sender: started"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..13092d3353871a4fb7c60eab320da0d2d7ea7480
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug.log
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+2026-06-29 11:34:58,758 INFO    MainThread:49361 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/logs/debug-internal.log
+2026-06-29 11:34:58,758 INFO    MainThread:49361 [wandb_init.py:init():768] calling init triggers
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_113458-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..dc3d221612a026b7c1cd41ab770334c834b2eae4
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@@ -0,0 +1,133 @@
+2026-06-29 11:57:19.021 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 11:57:19.023 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.024 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 11:57:19.024 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 11:57:19.025 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 11:57:19.025 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 11:57:19.026 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 11:57:19.026 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.027 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 11:57:19.027 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.039 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 11:57:19.039 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 11:57:19.040 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 11:57:19.040 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 11:57:19.040 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 11:57:19.041 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 11:57:19.041 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 11:57:19.042 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 11:57:19.042 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 11:57:19.043 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 11:57:19.043 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.044 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 11:57:19.044 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.044 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 11:57:19.045 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 11:57:19.045 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 11:57:19.046 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 11:57:19.046 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 11:57:19.047 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.047 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 11:57:19.047 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.048 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 11:57:19.048 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 11:57:19.049 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 11:57:19.049 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 11:57:19.049 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 11:57:19.050 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 11:57:19.050 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 11:57:19.050 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.051 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 11:57:19.051 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.052 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 11:57:19.052 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 11:57:19.052 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 11:57:19.053 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 11:57:19.053 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 11:57:19.054 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 11:57:19.054 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 11:57:19.054 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.055 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 11:57:19.055 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.056 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 11:57:19.056 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 11:57:19.056 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 11:57:19.057 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 11:57:19.057 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 11:57:19.058 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 11:57:19.058 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 11:57:19.058 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 11:57:19.059 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 11:57:19.059 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 11:57:19.060 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 11:57:19.060 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 11:57:19.060 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 11:57:19.061 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 11:57:19.061 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 11:57:19.062 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 11:57:19.062 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 11:57:19.062 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 11:57:19.063 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 11:57:19.063 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 11:57:19.064 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 11:57:19.064 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 11:57:19.064 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 11:57:19.065 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 11:57:19.065 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 11:57:19.066 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 11:57:19.066 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.066 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 11:57:19.067 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.067 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 11:57:19.068 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 11:57:19.068 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 11:57:19.068 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 11:57:19.069 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 11:57:19.069 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 11:57:19.070 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 11:57:19.070 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 11:57:19.070 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 11:57:19.071 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 11:57:19.071 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 11:57:19.072 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 11:57:19.072 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 11:57:19.072 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 11:57:19.073 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 11:57:19.073 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 11:57:19.074 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 11:57:19.074 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 11:57:19.074 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 11:57:19.075 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 11:57:19.075 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 11:57:19.076 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 11:57:19.076 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 11:57:19.076 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 11:57:19.077 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.077 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 11:57:19.078 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 11:57:19.078 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:57:19.079 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:57:19.079 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 11:57:19.080 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 11:57:19.080 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 11:57:19.081 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 11:57:19.081 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 11:57:19.081 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 11:57:19.082 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 11:57:19.082 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 11:57:19.083 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 11:57:19.083 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 11:57:19.083 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 11:57:19.084 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 11:57:19.084 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 11:57:19.085 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 11:57:19.747 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 11:57:19.748 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 11:57:19.749 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 11:57:19.749 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 11:57:19.750 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 11:57:19.750 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 11:57:20.667 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 11:57:20.803 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
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+truststore==0.10.4
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+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
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+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
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+onemkl-license==2026.0.0
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+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..786553bc77537ca9c9d0c76b8d14ff67858d1d5e
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_115717-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T11:57:17.281720Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619658297344"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
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+}
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+2026-06-29 12:20:21.749 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 12:20:21.752 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 12:20:21.752 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 12:20:21.753 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
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+2026-06-29 12:20:21.754 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
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+2026-06-29 12:20:21.756 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
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+2026-06-29 12:20:21.767 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 12:20:21.767 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 12:20:21.768 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 12:20:21.768 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 12:20:21.772 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 12:20:21.774 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
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+2026-06-29 12:20:21.775 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 12:20:21.779 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
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+2026-06-29 12:20:21.780 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 12:20:21.780 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
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+2026-06-29 12:20:21.783 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
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+2026-06-29 12:20:21.784 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 12:20:21.784 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 12:20:21.785 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
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+2026-06-29 12:20:21.785 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
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+2026-06-29 12:20:21.789 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 12:20:21.789 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 12:20:21.789 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 12:20:21.790 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 12:20:21.790 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 12:20:21.791 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 12:20:21.791 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 12:20:21.791 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 12:20:21.792 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 12:20:21.792 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 12:20:21.792 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 12:20:21.793 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 12:20:21.793 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 12:20:21.794 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 12:20:21.794 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 12:20:21.795 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 12:20:21.795 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 12:20:21.795 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 12:20:21.796 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 12:20:21.796 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 12:20:21.797 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 12:20:21.797 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 12:20:21.798 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 12:20:21.798 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 12:20:21.798 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 12:20:21.799 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 12:20:21.799 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 12:20:21.800 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 12:20:21.800 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 12:20:21.801 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 12:20:21.801 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 12:20:21.802 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 12:20:21.802 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 12:20:21.802 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 12:20:21.803 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 12:20:21.803 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 12:20:21.804 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 12:20:21.804 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 12:20:21.804 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 12:20:21.805 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 12:20:21.805 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 12:20:21.806 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 12:20:21.806 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 12:20:21.806 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 12:20:21.807 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:20:21.807 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:20:21.808 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 12:20:21.808 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 12:20:21.809 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 12:20:21.809 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 12:20:21.810 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 12:20:21.810 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 12:20:21.811 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 12:20:21.811 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 12:20:21.811 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 12:20:21.812 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 12:20:21.812 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 12:20:21.813 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:20:21.813 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 12:20:21.814 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 12:20:22.480 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 12:20:22.481 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 12:20:22.482 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 12:20:22.482 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 12:20:22.483 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 12:20:22.483 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 12:20:23.405 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 12:20:23.538 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e58c52da9083d4876b30114bec3187bda47297c
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_122019-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T12:20:19.325330Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
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+}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/output.log
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+2026-06-29 12:48:21.310 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 12:48:21.313 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.313 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
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+2026-06-29 12:48:21.316 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
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+2026-06-29 12:48:21.327 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 12:48:21.327 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 12:48:21.337 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 12:48:21.337 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 12:48:21.338 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.338 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 12:48:21.338 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.339 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 12:48:21.339 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 12:48:21.340 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 12:48:21.340 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 12:48:21.340 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 12:48:21.341 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 12:48:21.341 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 12:48:21.342 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.342 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 12:48:21.342 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.343 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 12:48:21.343 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 12:48:21.344 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 12:48:21.344 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 12:48:21.344 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 12:48:21.345 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 12:48:21.345 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 12:48:21.346 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 12:48:21.346 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 12:48:21.347 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 12:48:21.347 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 12:48:21.347 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 12:48:21.348 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 12:48:21.348 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 12:48:21.349 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 12:48:21.349 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 12:48:21.349 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 12:48:21.350 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 12:48:21.350 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 12:48:21.350 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 12:48:21.351 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 12:48:21.351 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 12:48:21.352 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 12:48:21.352 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 12:48:21.353 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 12:48:21.353 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 12:48:21.354 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.354 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 12:48:21.354 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.355 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 12:48:21.355 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 12:48:21.356 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 12:48:21.356 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 12:48:21.356 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 12:48:21.357 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 12:48:21.357 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 12:48:21.358 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 12:48:21.358 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 12:48:21.358 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 12:48:21.359 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 12:48:21.359 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 12:48:21.360 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 12:48:21.360 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 12:48:21.360 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 12:48:21.361 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 12:48:21.361 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 12:48:21.362 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 12:48:21.362 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 12:48:21.362 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 12:48:21.363 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 12:48:21.363 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 12:48:21.364 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 12:48:21.364 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 12:48:21.364 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.365 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 12:48:21.365 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 12:48:21.365 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:48:21.366 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:48:21.366 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 12:48:21.367 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 12:48:21.367 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 12:48:21.368 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 12:48:21.368 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 12:48:21.369 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 12:48:21.369 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 12:48:21.369 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 12:48:21.370 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 12:48:21.370 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 12:48:21.371 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 12:48:21.371 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 12:48:21.371 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 12:48:21.372 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 12:48:22.031 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 12:48:22.032 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 12:48:22.032 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 12:48:22.033 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 12:48:22.033 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 12:48:22.034 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 12:48:22.984 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 12:48:23.119 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
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+charset-normalizer==3.4.7
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+idna==3.18
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+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
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+rsa==4.7.2
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+urllib3==2.7.0
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+easydict==1.13
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+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
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+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
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+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
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+multidict==6.7.1
+msgpack==1.2.1
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+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
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+docstring_parser==0.18.0
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+cattrs==26.1.0
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+tokenizers==0.22.2
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+GitPython==3.1.50
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+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
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+torchaudio==2.10.0+cu130
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+timm==1.0.27
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+xxhash==3.8.0
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+fire==0.7.0
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+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_124818-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..63475a186e736bff20e384b97afe1677d5e2e9f2
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@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T12:48:18.807593Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619649990656"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "0gdl7m7jex50frddjln6ifvojinywepb"
+}
\ No newline at end of file
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new file mode 100644
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+2026-06-29 12:48:18,830 INFO    MainThread:55432 [wandb_init.py:init():768] calling init triggers
+2026-06-29 12:48:18,830 INFO    MainThread:55432 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 13:39:12.843 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 13:39:12.845 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.846 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 13:39:12.846 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 13:39:12.847 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 13:39:12.847 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 13:39:12.848 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 13:39:12.848 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.849 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 13:39:12.849 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.860 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 13:39:12.861 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 13:39:12.861 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 13:39:12.862 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 13:39:12.862 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 13:39:12.863 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 13:39:12.863 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 13:39:12.864 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 13:39:12.864 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 13:39:12.865 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 13:39:12.865 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.866 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 13:39:12.866 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.866 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 13:39:12.867 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 13:39:12.867 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 13:39:12.868 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 13:39:12.868 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 13:39:12.869 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.869 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 13:39:12.870 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.870 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 13:39:12.870 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 13:39:12.871 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 13:39:12.871 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 13:39:12.872 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 13:39:12.872 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 13:39:12.873 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 13:39:12.873 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.874 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 13:39:12.874 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.875 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 13:39:12.875 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 13:39:12.876 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 13:39:12.876 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 13:39:12.877 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 13:39:12.877 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 13:39:12.878 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 13:39:12.878 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.879 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 13:39:12.879 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.880 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 13:39:12.880 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 13:39:12.881 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 13:39:12.881 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 13:39:12.881 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 13:39:12.882 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 13:39:12.882 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 13:39:12.883 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 13:39:12.883 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 13:39:12.884 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 13:39:12.884 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 13:39:12.885 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 13:39:12.885 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 13:39:12.886 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 13:39:12.886 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 13:39:12.887 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 13:39:12.887 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 13:39:12.888 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 13:39:12.888 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 13:39:12.888 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 13:39:12.889 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 13:39:12.889 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 13:39:12.890 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 13:39:12.890 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 13:39:12.891 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 13:39:12.891 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 13:39:12.892 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.892 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 13:39:12.893 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.893 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 13:39:12.894 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 13:39:12.894 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 13:39:12.894 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 13:39:12.895 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 13:39:12.895 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 13:39:12.896 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 13:39:12.896 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 13:39:12.897 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 13:39:12.897 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 13:39:12.897 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 13:39:12.898 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 13:39:12.899 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 13:39:12.899 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 13:39:12.900 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 13:39:12.900 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 13:39:12.901 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 13:39:12.901 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 13:39:12.901 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 13:39:12.902 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 13:39:12.902 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 13:39:12.903 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 13:39:12.903 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 13:39:12.904 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 13:39:12.904 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.905 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 13:39:12.905 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 13:39:12.906 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 13:39:12.906 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 13:39:12.907 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 13:39:12.907 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 13:39:12.908 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 13:39:12.908 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 13:39:12.909 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 13:39:12.909 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 13:39:12.910 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 13:39:12.910 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 13:39:12.911 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 13:39:12.911 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 13:39:12.912 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 13:39:12.912 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 13:39:12.913 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 13:39:12.913 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 13:39:13.581 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 13:39:13.582 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 13:39:13.583 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 13:39:13.583 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 13:39:13.583 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 13:39:13.584 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 13:39:14.584 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 13:39:14.731 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
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+transformer_engine==2.9.0+70f53666
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+Cython==3.2.5
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8f80cf1be5ac0129aa2e9767ee87872ca00b020
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T13:39:10.237556Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619654377472"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "4fx4rvqem05axq9cpk6qndtcg9tekil8"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..3f8f8de940065d575fab14de0c7503d716f877e2
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,29 @@
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+{"time":"2026-06-29T13:39:13.418990666Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5ffbff85f1f112338dca7f2b0f09bfe1b7b6a4dd
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
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+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_setup.py:_flush():81] Configure stats pid to 59492
+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug.log
+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/logs/debug-internal.log
+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_init.py:init():768] calling init triggers
+2026-06-29 13:39:10,259 INFO    MainThread:59492 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 13:39:10,261 INFO    MainThread:59492 [wandb_init.py:init():816] starting backend
+2026-06-29 13:39:10,482 INFO    MainThread:59492 [wandb_init.py:init():831] sending inform_init request
+2026-06-29 13:39:10,795 INFO    MainThread:59492 [wandb_init.py:init():836] backend started and connected
+2026-06-29 13:39:10,798 INFO    MainThread:59492 [wandb_init.py:init():906] updated telemetry
+2026-06-29 13:39:10,829 INFO    MainThread:59492 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 13:39:12,639 INFO    MainThread:59492 [wandb_init.py:init():969] run resumed
+2026-06-29 13:39:12,641 INFO    MainThread:59492 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 13:39:12,841 INFO    MainThread:59492 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 13:39:12,841 INFO    MainThread:59492 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 13:39:12,841 INFO    MainThread:59492 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 13:39:12,841 INFO    MainThread:59492 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 13:39:12,843 INFO    MainThread:59492 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_133910-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/output.log
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 14:05:48.584 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 14:05:48.586 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.587 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 14:05:48.587 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 14:05:48.587 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 14:05:48.588 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 14:05:48.589 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 14:05:48.589 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.589 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 14:05:48.590 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.601 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 14:05:48.601 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 14:05:48.602 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 14:05:48.602 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 14:05:48.603 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 14:05:48.603 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 14:05:48.604 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 14:05:48.604 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 14:05:48.605 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 14:05:48.605 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 14:05:48.605 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.606 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 14:05:48.606 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.607 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 14:05:48.607 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 14:05:48.607 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 14:05:48.608 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 14:05:48.608 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 14:05:48.609 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.609 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 14:05:48.610 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.610 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 14:05:48.611 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 14:05:48.611 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 14:05:48.612 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 14:05:48.612 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 14:05:48.612 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 14:05:48.613 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 14:05:48.614 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.614 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 14:05:48.614 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.615 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 14:05:48.615 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 14:05:48.616 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 14:05:48.616 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 14:05:48.617 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 14:05:48.617 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 14:05:48.618 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 14:05:48.618 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.619 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 14:05:48.619 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.619 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 14:05:48.620 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 14:05:48.620 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 14:05:48.621 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 14:05:48.621 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 14:05:48.621 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 14:05:48.622 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 14:05:48.622 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 14:05:48.623 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 14:05:48.623 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 14:05:48.624 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 14:05:48.624 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 14:05:48.625 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 14:05:48.625 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 14:05:48.626 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 14:05:48.626 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 14:05:48.627 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 14:05:48.627 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 14:05:48.627 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 14:05:48.628 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 14:05:48.628 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 14:05:48.629 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 14:05:48.629 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 14:05:48.630 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 14:05:48.630 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 14:05:48.631 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 14:05:48.631 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.632 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 14:05:48.632 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.633 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 14:05:48.633 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 14:05:48.634 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 14:05:48.634 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 14:05:48.635 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 14:05:48.635 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 14:05:48.636 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 14:05:48.636 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 14:05:48.637 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 14:05:48.637 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 14:05:48.638 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 14:05:48.638 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 14:05:48.639 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 14:05:48.639 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 14:05:48.640 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 14:05:48.640 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 14:05:48.641 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 14:05:48.642 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 14:05:48.642 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 14:05:48.643 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 14:05:48.643 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 14:05:48.644 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 14:05:48.644 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 14:05:48.645 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 14:05:48.645 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.646 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 14:05:48.647 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 14:05:48.647 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:05:48.648 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:05:48.648 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 14:05:48.649 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 14:05:48.652 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 14:05:48.654 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 14:05:48.654 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 14:05:48.654 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 14:05:48.655 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 14:05:48.657 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 14:05:48.660 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 14:05:48.662 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 14:05:48.664 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 14:05:48.664 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:05:48.665 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 14:05:48.665 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 14:05:49.330 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 14:05:49.331 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 14:05:49.332 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 14:05:49.332 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 14:05:49.332 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 14:05:49.333 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 14:05:50.302 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 14:05:50.438 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..872d72c5d9c0882365001f409a8820d245d1d6d0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T14:05:45.430719Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619654914048"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "zzvfs8uoo8x2p6n18js8un339imindkt"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..83c52e84309f98dd19e9900cde84eeffa0be8bcc
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,27 @@
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+{"time":"2026-06-29T14:05:45.680678294Z","level":"INFO","msg":"stream: starting","core version":"0.28.0"}
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+{"time":"2026-06-29T14:05:45.953156287Z","level":"INFO","msg":"writer: started","stream_id":"rgt7q8d2"}
+{"time":"2026-06-29T14:05:48.587265107Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":3990,"console_lines":1}
+{"time":"2026-06-29T14:05:49.422918625Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5819f378385e6099d4bf50f2093d1b4d4ad18204
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_140545-rgt7q8d2/logs/debug.log
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 14:28:55.363 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 14:28:55.365 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.366 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 14:28:55.366 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 14:28:55.366 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 14:28:55.367 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 14:28:55.367 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 14:28:55.368 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.368 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 14:28:55.369 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.380 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 14:28:55.381 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 14:28:55.381 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 14:28:55.382 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 14:28:55.382 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 14:28:55.383 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 14:28:55.383 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 14:28:55.383 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 14:28:55.384 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 14:28:55.384 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 14:28:55.385 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.385 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 14:28:55.386 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.386 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 14:28:55.386 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 14:28:55.389 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 14:28:55.391 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 14:28:55.393 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 14:28:55.394 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.394 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 14:28:55.394 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.395 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 14:28:55.395 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 14:28:55.396 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 14:28:55.398 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 14:28:55.401 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 14:28:55.403 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 14:28:55.403 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 14:28:55.403 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.404 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 14:28:55.404 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.405 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 14:28:55.405 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 14:28:55.405 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 14:28:55.406 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 14:28:55.406 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 14:28:55.407 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 14:28:55.407 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 14:28:55.407 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.408 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 14:28:55.408 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.409 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 14:28:55.409 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 14:28:55.410 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 14:28:55.410 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 14:28:55.410 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 14:28:55.411 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 14:28:55.411 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 14:28:55.411 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 14:28:55.412 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 14:28:55.412 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 14:28:55.412 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 14:28:55.413 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 14:28:55.413 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 14:28:55.414 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 14:28:55.414 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 14:28:55.415 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 14:28:55.415 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 14:28:55.415 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 14:28:55.416 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 14:28:55.416 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 14:28:55.417 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 14:28:55.417 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 14:28:55.418 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 14:28:55.418 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 14:28:55.418 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 14:28:55.419 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 14:28:55.419 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.420 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 14:28:55.420 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.420 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 14:28:55.421 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 14:28:55.421 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 14:28:55.422 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 14:28:55.422 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 14:28:55.422 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 14:28:55.423 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 14:28:55.423 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 14:28:55.423 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 14:28:55.424 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 14:28:55.424 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 14:28:55.425 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 14:28:55.425 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 14:28:55.426 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 14:28:55.426 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 14:28:55.426 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 14:28:55.427 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 14:28:55.427 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 14:28:55.427 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 14:28:55.428 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 14:28:55.428 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 14:28:55.429 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 14:28:55.429 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 14:28:55.430 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 14:28:55.430 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.430 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 14:28:55.431 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 14:28:55.431 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:28:55.432 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:28:55.432 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 14:28:55.433 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 14:28:55.433 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 14:28:55.433 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 14:28:55.434 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 14:28:55.434 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 14:28:55.435 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 14:28:55.435 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 14:28:55.436 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 14:28:55.436 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 14:28:55.437 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 14:28:55.437 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:28:55.437 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 14:28:55.438 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 14:28:56.112 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 14:28:56.114 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 14:28:56.115 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 14:28:56.115 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 14:28:56.116 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 14:28:56.116 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 14:28:57.139 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 14:28:57.287 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
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+weasel==0.4.3
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+Werkzeug==3.1.8
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+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
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+jedi==0.20.0
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+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
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+nest-asyncio2==1.7.2
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+onemkl-license==2026.0.0
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+pybind11==3.0.4
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+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
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+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7daefd4715f648c5df06c78163da2f6b07a4ead8
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_142853-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T14:28:53.175238Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619653971968"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
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+  "cudaVersion": "13.0",
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+}
\ No newline at end of file
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+2026-06-29 14:51:29.778 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 14:51:29.778 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
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+2026-06-29 14:51:29.793 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 14:51:29.794 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
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+2026-06-29 14:51:29.798 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 14:51:29.800 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
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+2026-06-29 14:51:29.801 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 14:51:29.804 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
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+2026-06-29 14:51:29.805 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
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+2026-06-29 14:51:29.809 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
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+2026-06-29 14:51:29.814 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 14:51:29.815 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 14:51:29.815 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 14:51:29.816 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 14:51:29.816 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 14:51:29.816 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 14:51:29.817 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 14:51:29.817 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 14:51:29.818 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 14:51:29.818 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 14:51:29.818 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 14:51:29.819 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 14:51:29.819 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 14:51:29.819 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 14:51:29.820 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 14:51:29.820 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 14:51:29.821 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 14:51:29.821 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 14:51:29.821 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 14:51:29.822 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 14:51:29.822 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 14:51:29.822 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 14:51:29.823 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 14:51:29.823 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 14:51:29.824 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 14:51:29.824 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 14:51:29.824 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 14:51:29.825 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 14:51:29.825 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 14:51:29.826 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 14:51:29.826 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 14:51:29.827 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 14:51:29.827 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 14:51:29.827 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 14:51:29.828 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 14:51:29.828 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 14:51:29.829 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 14:51:29.829 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 14:51:29.829 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 14:51:29.830 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 14:51:29.830 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 14:51:29.830 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 14:51:29.831 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:51:29.831 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:51:29.831 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 14:51:29.832 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 14:51:29.832 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 14:51:29.833 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 14:51:29.833 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 14:51:29.834 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 14:51:29.834 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 14:51:29.834 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 14:51:29.835 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 14:51:29.835 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 14:51:29.835 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 14:51:29.836 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 14:51:29.836 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 14:51:29.837 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 14:51:30.505 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 14:51:30.509 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 14:51:30.509 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 14:51:30.510 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 14:51:30.510 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 14:51:30.511 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 14:51:31.383 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 14:51:31.506 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc2e6e4cf0767889ed1bad77557b93cab2845594
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T14:51:27.775356Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619658366976"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "b64bg8nld4c306w0scar0a0w1xx9mc67"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug-internal.log
new file mode 100644
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3e0b3c5e0e9cc1193064f4d40405032607603296
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+2026-06-29 14:51:27,795 INFO    MainThread:65279 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug.log
+2026-06-29 14:51:27,795 INFO    MainThread:65279 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_145127-rgt7q8d2/logs/debug-internal.log
+2026-06-29 14:51:27,795 INFO    MainThread:65279 [wandb_init.py:init():768] calling init triggers
+2026-06-29 14:51:27,795 INFO    MainThread:65279 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..96b6edb7dafaafe8bbf21a076a6ccd184954d85a
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 15:23:02.911 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 15:23:02.913 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.914 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 15:23:02.914 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 15:23:02.915 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 15:23:02.915 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 15:23:02.915 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 15:23:02.916 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.916 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 15:23:02.917 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.928 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 15:23:02.929 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 15:23:02.929 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 15:23:02.930 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 15:23:02.930 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 15:23:02.931 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 15:23:02.931 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 15:23:02.932 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 15:23:02.932 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 15:23:02.932 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 15:23:02.933 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.933 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 15:23:02.934 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.934 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 15:23:02.934 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 15:23:02.935 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 15:23:02.935 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 15:23:02.936 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 15:23:02.936 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.936 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 15:23:02.937 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.937 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 15:23:02.938 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 15:23:02.938 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 15:23:02.938 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 15:23:02.939 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 15:23:02.939 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 15:23:02.940 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 15:23:02.940 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.940 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 15:23:02.941 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.941 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 15:23:02.941 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 15:23:02.942 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 15:23:02.942 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 15:23:02.943 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 15:23:02.943 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 15:23:02.943 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 15:23:02.944 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.944 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 15:23:02.945 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.945 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 15:23:02.946 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 15:23:02.946 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 15:23:02.946 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 15:23:02.947 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 15:23:02.947 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 15:23:02.947 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 15:23:02.948 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 15:23:02.948 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 15:23:02.949 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 15:23:02.949 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 15:23:02.949 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 15:23:02.950 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 15:23:02.950 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 15:23:02.951 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 15:23:02.951 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 15:23:02.951 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 15:23:02.952 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 15:23:02.952 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 15:23:02.952 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 15:23:02.953 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 15:23:02.953 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 15:23:02.954 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 15:23:02.954 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 15:23:02.954 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 15:23:02.955 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 15:23:02.955 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.956 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 15:23:02.956 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.956 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 15:23:02.957 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 15:23:02.957 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 15:23:02.958 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 15:23:02.958 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 15:23:02.958 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 15:23:02.959 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 15:23:02.959 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 15:23:02.960 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 15:23:02.960 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 15:23:02.960 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 15:23:02.961 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 15:23:02.961 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 15:23:02.962 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 15:23:02.962 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 15:23:02.962 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 15:23:02.963 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 15:23:02.963 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 15:23:02.964 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 15:23:02.964 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 15:23:02.964 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 15:23:02.965 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 15:23:02.965 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 15:23:02.966 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 15:23:02.966 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.966 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 15:23:02.967 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 15:23:02.968 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 15:23:02.968 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 15:23:02.969 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 15:23:02.969 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 15:23:02.970 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 15:23:02.971 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 15:23:02.971 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 15:23:02.971 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 15:23:02.972 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 15:23:02.972 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 15:23:02.972 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 15:23:02.973 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 15:23:02.973 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 15:23:02.974 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 15:23:02.974 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 15:23:02.975 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 15:23:03.645 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 15:23:03.648 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 15:23:03.649 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 15:23:03.650 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 15:23:03.650 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 15:23:03.651 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 15:23:04.511 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 15:23:04.640 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c4bc6729cba444999b5693ff77a2471268e1c72
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T15:23:00.244631Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619659825152"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "2zl0enkonhgvdu1uvs25vyjgwl35nu0r"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..6f2c57c0a03e4677da1c296185c7636005d195d0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,32 @@
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+{"time":"2026-06-29T15:23:03.865750538Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T15:23:33.399826185Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T15:24:48.612538551Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T15:25:33.323174829Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T15:26:02.914803111Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":458,"events_lines":2}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..930297c31963950dbed4483e8d34a3fbebadceb6
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
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+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_setup.py:_flush():81] Configure stats pid to 67440
+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug.log
+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/logs/debug-internal.log
+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_init.py:init():768] calling init triggers
+2026-06-29 15:23:00,265 INFO    MainThread:67440 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 15:23:00,266 INFO    MainThread:67440 [wandb_init.py:init():816] starting backend
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+2026-06-29 15:23:00,909 INFO    MainThread:67440 [wandb_init.py:init():836] backend started and connected
+2026-06-29 15:23:00,912 INFO    MainThread:67440 [wandb_init.py:init():906] updated telemetry
+2026-06-29 15:23:00,944 INFO    MainThread:67440 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 15:23:02,709 INFO    MainThread:67440 [wandb_init.py:init():969] run resumed
+2026-06-29 15:23:02,710 INFO    MainThread:67440 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 15:23:02,909 INFO    MainThread:67440 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 15:23:02,909 INFO    MainThread:67440 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 15:23:02,909 INFO    MainThread:67440 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 15:23:02,909 INFO    MainThread:67440 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 15:23:02,910 INFO    MainThread:67440 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_152300-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/output.log
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index 0000000000000000000000000000000000000000..808899c8e852814654c9873ca97c6d4d2ae9a2c8
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 16:18:27.366 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 16:18:27.368 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.368 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 16:18:27.369 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 16:18:27.369 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 16:18:27.370 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 16:18:27.370 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 16:18:27.371 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.371 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 16:18:27.371 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.383 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 16:18:27.383 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 16:18:27.384 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 16:18:27.384 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 16:18:27.384 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 16:18:27.385 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 16:18:27.385 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 16:18:27.386 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 16:18:27.386 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 16:18:27.387 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 16:18:27.387 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.387 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 16:18:27.388 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.388 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 16:18:27.388 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 16:18:27.389 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 16:18:27.389 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 16:18:27.390 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 16:18:27.390 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.390 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 16:18:27.391 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.391 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 16:18:27.392 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 16:18:27.392 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 16:18:27.393 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 16:18:27.393 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 16:18:27.393 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 16:18:27.394 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 16:18:27.394 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.395 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 16:18:27.395 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.395 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 16:18:27.396 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 16:18:27.396 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 16:18:27.397 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 16:18:27.397 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 16:18:27.397 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 16:18:27.398 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 16:18:27.398 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.399 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 16:18:27.399 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.399 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 16:18:27.400 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 16:18:27.400 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 16:18:27.401 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 16:18:27.401 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 16:18:27.401 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 16:18:27.402 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 16:18:27.402 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 16:18:27.402 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 16:18:27.403 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 16:18:27.403 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 16:18:27.404 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 16:18:27.404 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 16:18:27.404 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 16:18:27.405 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 16:18:27.405 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 16:18:27.405 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 16:18:27.406 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 16:18:27.406 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 16:18:27.407 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 16:18:27.407 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 16:18:27.407 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 16:18:27.408 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 16:18:27.408 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 16:18:27.409 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 16:18:27.409 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 16:18:27.409 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.410 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 16:18:27.410 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.411 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 16:18:27.411 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 16:18:27.411 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 16:18:27.412 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 16:18:27.412 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 16:18:27.413 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 16:18:27.413 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 16:18:27.413 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 16:18:27.414 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 16:18:27.414 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 16:18:27.415 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 16:18:27.415 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 16:18:27.415 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 16:18:27.416 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 16:18:27.416 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 16:18:27.417 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 16:18:27.417 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 16:18:27.417 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 16:18:27.418 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 16:18:27.418 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 16:18:27.419 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 16:18:27.419 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 16:18:27.419 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 16:18:27.420 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 16:18:27.420 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.420 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 16:18:27.421 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 16:18:27.421 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:18:27.422 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:18:27.422 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 16:18:27.422 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 16:18:27.423 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 16:18:27.423 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 16:18:27.424 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 16:18:27.424 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 16:18:27.424 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 16:18:27.425 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 16:18:27.425 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 16:18:27.426 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 16:18:27.426 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 16:18:27.426 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:18:27.427 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 16:18:27.427 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 16:18:28.093 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 16:18:28.094 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 16:18:28.094 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 16:18:28.094 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 16:18:28.095 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 16:18:28.096 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 16:18:28.998 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 16:18:29.132 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f55f7ecb22c174b49e192f1fa3ac6befae3ce9c
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T16:18:25.548803Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619666792448"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "k2w0szxqrt9nupif67mo37et7tgg0izj"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..06c6a1e10ed45ed713649b69d4485ad549bb6aae
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,17 @@
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+{"time":"2026-06-29T16:18:27.90908533Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T16:18:57.6862552Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T16:19:12.758689187Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..ec38724d6d2ff0b2cbf1edb8b7e4dbf051221938
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_161825-rgt7q8d2/logs/debug.log
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+2026-06-29 16:18:25,575 INFO    MainThread:71655 [wandb_init.py:init():768] calling init triggers
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 16:42:29.699 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 16:42:29.699 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.700 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 16:42:29.700 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 16:42:29.701 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 16:42:29.701 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 16:42:29.702 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 16:42:29.702 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.702 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 16:42:29.703 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.713 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 16:42:29.714 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 16:42:29.714 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 16:42:29.715 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 16:42:29.715 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 16:42:29.716 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 16:42:29.716 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 16:42:29.716 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 16:42:29.717 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 16:42:29.717 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 16:42:29.717 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.718 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 16:42:29.719 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.719 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 16:42:29.719 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 16:42:29.720 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 16:42:29.720 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 16:42:29.721 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 16:42:29.721 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.721 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 16:42:29.722 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.722 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 16:42:29.723 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 16:42:29.723 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 16:42:29.723 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 16:42:29.724 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 16:42:29.724 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 16:42:29.725 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 16:42:29.725 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.725 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 16:42:29.726 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.726 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 16:42:29.727 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 16:42:29.727 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 16:42:29.727 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 16:42:29.728 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 16:42:29.728 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 16:42:29.729 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 16:42:29.729 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.729 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 16:42:29.730 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.730 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 16:42:29.730 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 16:42:29.731 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 16:42:29.731 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 16:42:29.732 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 16:42:29.732 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 16:42:29.733 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 16:42:29.733 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 16:42:29.733 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 16:42:29.734 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 16:42:29.734 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 16:42:29.734 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 16:42:29.735 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 16:42:29.735 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 16:42:29.736 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 16:42:29.736 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 16:42:29.737 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 16:42:29.737 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 16:42:29.738 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 16:42:29.738 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 16:42:29.738 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 16:42:29.739 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 16:42:29.739 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 16:42:29.740 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 16:42:29.740 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 16:42:29.740 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 16:42:29.741 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.741 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 16:42:29.741 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.742 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 16:42:29.742 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 16:42:29.742 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 16:42:29.743 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 16:42:29.743 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 16:42:29.744 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 16:42:29.744 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 16:42:29.745 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 16:42:29.745 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 16:42:29.745 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 16:42:29.746 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 16:42:29.746 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 16:42:29.747 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 16:42:29.747 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 16:42:29.747 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 16:42:29.748 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 16:42:29.748 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 16:42:29.749 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 16:42:29.749 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 16:42:29.749 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 16:42:29.750 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 16:42:29.750 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 16:42:29.751 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 16:42:29.751 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 16:42:29.751 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.752 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 16:42:29.752 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 16:42:29.752 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:42:29.753 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:42:29.753 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 16:42:29.754 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 16:42:29.754 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 16:42:29.754 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 16:42:29.755 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 16:42:29.755 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 16:42:29.756 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 16:42:29.756 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 16:42:29.757 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 16:42:29.757 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 16:42:29.757 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 16:42:29.758 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 16:42:29.758 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 16:42:29.759 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 16:42:30.415 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 16:42:30.416 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 16:42:30.416 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 16:42:30.417 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 16:42:30.417 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 16:42:30.418 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 16:42:31.456 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 16:42:31.603 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
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+srsly==2.5.3
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+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
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+asttokens==3.0.1
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+comm==0.2.3
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+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
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+intel-openmp==2026.0.0
+ipykernel==7.3.0
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+mkl==2026.0.0
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+pyzmq==27.1.0
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+traitlets==5.15.1
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..22bd777010f3d464d31bf45f180ecdab88de86c0
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_164227-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T16:42:27.597436Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619668983808"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
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+  "writerId": "uewbskndwmhuzqs27nkjohbaniqcx19m"
+}
\ No newline at end of file
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/output.log
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+2026-06-29 17:11:14.221 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 17:11:14.222 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
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+2026-06-29 17:11:14.237 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
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+2026-06-29 17:11:14.242 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
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+2026-06-29 17:11:14.245 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 17:11:14.249 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
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+2026-06-29 17:11:14.252 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
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+2026-06-29 17:11:14.253 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
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+2026-06-29 17:11:14.256 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 17:11:14.256 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 17:11:14.256 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 17:11:14.257 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 17:11:14.257 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 17:11:14.258 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 17:11:14.258 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 17:11:14.259 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 17:11:14.259 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 17:11:14.259 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 17:11:14.260 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 17:11:14.260 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 17:11:14.260 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 17:11:14.261 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 17:11:14.261 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 17:11:14.261 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 17:11:14.262 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 17:11:14.262 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 17:11:14.262 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 17:11:14.263 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 17:11:14.263 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 17:11:14.264 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 17:11:14.264 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 17:11:14.265 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 17:11:14.265 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 17:11:14.266 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 17:11:14.266 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 17:11:14.266 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 17:11:14.267 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 17:11:14.267 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 17:11:14.267 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 17:11:14.268 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 17:11:14.268 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 17:11:14.269 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 17:11:14.269 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 17:11:14.269 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 17:11:14.270 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 17:11:14.270 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 17:11:14.271 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 17:11:14.271 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 17:11:14.271 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 17:11:14.272 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 17:11:14.272 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 17:11:14.273 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 17:11:14.273 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 17:11:14.273 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 17:11:14.274 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 17:11:14.274 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 17:11:14.274 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 17:11:14.275 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:11:14.275 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:11:14.276 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 17:11:14.276 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 17:11:14.277 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 17:11:14.277 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 17:11:14.277 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 17:11:14.278 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 17:11:14.278 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 17:11:14.278 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 17:11:14.279 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 17:11:14.279 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 17:11:14.280 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 17:11:14.280 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:11:14.281 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 17:11:14.281 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 17:11:14.936 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 17:11:14.937 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 17:11:14.938 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 17:11:14.938 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 17:11:14.938 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 17:11:14.939 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 17:11:15.844 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 17:11:15.974 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
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+typing-inspection==0.4.2
+uvicorn==0.49.0
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+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
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+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
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+pexpect==4.9.0
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+pybind11==3.0.4
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+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
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+traitlets==5.15.1
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+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d865a43f31b717ba033f24b13505d70100aac2b7
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T17:11:12.338656Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619658543104"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "tskfmymj5jx0f5u67bz25xdx94mia4um"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..5c07a19919968e0b563f9b3fe6cce11ff003aa97
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..103cd244d8106a446753ecd5ee3190bbdc5d104d
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug.log
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+2026-06-29 17:11:12,363 INFO    MainThread:75933 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/logs/debug-internal.log
+2026-06-29 17:11:12,363 INFO    MainThread:75933 [wandb_init.py:init():768] calling init triggers
+2026-06-29 17:11:12,363 INFO    MainThread:75933 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_171112-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/output.log
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+2026-06-29 17:34:05.303 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 17:34:05.305 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.305 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 17:34:05.306 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 17:34:05.306 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 17:34:05.306 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 17:34:05.307 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 17:34:05.307 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.308 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 17:34:05.308 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.319 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 17:34:05.319 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 17:34:05.320 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 17:34:05.321 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 17:34:05.321 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 17:34:05.322 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 17:34:05.322 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 17:34:05.323 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 17:34:05.323 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 17:34:05.323 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
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+2026-06-29 17:34:05.324 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 17:34:05.325 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.325 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 17:34:05.326 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 17:34:05.326 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 17:34:05.326 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 17:34:05.327 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 17:34:05.327 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.328 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 17:34:05.328 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.329 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 17:34:05.329 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 17:34:05.329 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 17:34:05.330 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 17:34:05.330 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 17:34:05.331 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 17:34:05.331 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 17:34:05.331 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.332 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 17:34:05.332 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.333 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 17:34:05.333 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 17:34:05.333 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 17:34:05.334 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 17:34:05.334 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 17:34:05.335 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 17:34:05.335 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 17:34:05.336 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.336 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 17:34:05.336 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.337 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 17:34:05.337 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 17:34:05.338 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 17:34:05.338 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 17:34:05.338 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 17:34:05.339 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 17:34:05.339 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 17:34:05.340 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 17:34:05.340 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 17:34:05.340 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 17:34:05.341 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 17:34:05.341 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 17:34:05.342 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 17:34:05.342 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 17:34:05.342 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 17:34:05.343 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 17:34:05.343 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 17:34:05.344 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 17:34:05.344 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 17:34:05.344 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 17:34:05.345 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 17:34:05.345 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 17:34:05.346 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 17:34:05.346 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 17:34:05.347 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 17:34:05.347 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 17:34:05.347 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.348 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 17:34:05.348 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.349 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 17:34:05.349 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 17:34:05.349 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 17:34:05.350 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 17:34:05.350 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 17:34:05.351 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 17:34:05.351 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 17:34:05.352 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 17:34:05.352 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 17:34:05.352 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 17:34:05.353 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 17:34:05.353 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 17:34:05.353 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 17:34:05.354 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 17:34:05.354 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 17:34:05.355 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 17:34:05.355 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 17:34:05.355 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 17:34:05.356 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 17:34:05.356 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 17:34:05.357 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 17:34:05.357 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 17:34:05.358 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 17:34:05.358 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 17:34:05.358 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.359 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 17:34:05.359 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 17:34:05.360 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:34:05.360 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:34:05.361 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 17:34:05.361 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 17:34:05.361 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 17:34:05.362 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 17:34:05.362 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 17:34:05.363 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 17:34:05.363 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 17:34:05.363 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 17:34:05.364 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 17:34:05.364 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 17:34:05.365 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 17:34:05.365 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:34:05.365 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 17:34:05.366 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 17:34:06.040 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 17:34:06.041 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 17:34:06.042 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 17:34:06.042 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 17:34:06.042 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 17:34:06.043 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 17:34:06.924 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 17:34:07.051 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
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+docstring_parser==0.18.0
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+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
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+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
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+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
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+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
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+distro==1.9.0
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+tyro==1.0.15
+tiktoken==0.13.0
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+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
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+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..b12856eb058093a169fd7f99c9e51e9febeea246
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T17:34:03.591649Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619661123584"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "fkxjy99v8cuschvo3pzvzwawcarmuju7"
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..3cea591e8ff0cf2bf2e9a3fcbac80999f5e35176
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_173403-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/output.log
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+2026-06-29 17:55:32.056 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 17:55:32.059 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.060 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 17:55:32.060 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 17:55:32.061 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 17:55:32.061 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 17:55:32.062 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 17:55:32.062 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.062 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 17:55:32.063 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.074 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 17:55:32.075 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 17:55:32.075 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 17:55:32.076 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 17:55:32.076 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 17:55:32.077 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 17:55:32.077 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 17:55:32.078 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 17:55:32.078 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 17:55:32.079 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 17:55:32.079 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.079 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 17:55:32.080 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.080 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 17:55:32.081 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 17:55:32.081 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 17:55:32.081 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 17:55:32.082 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 17:55:32.082 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.082 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 17:55:32.083 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.083 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 17:55:32.084 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 17:55:32.084 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 17:55:32.084 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 17:55:32.085 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 17:55:32.085 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 17:55:32.086 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 17:55:32.086 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.086 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 17:55:32.087 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.087 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 17:55:32.088 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 17:55:32.088 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 17:55:32.089 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 17:55:32.089 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 17:55:32.089 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 17:55:32.090 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 17:55:32.090 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.090 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 17:55:32.091 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.091 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 17:55:32.092 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 17:55:32.092 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 17:55:32.092 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 17:55:32.093 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 17:55:32.093 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 17:55:32.094 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 17:55:32.094 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 17:55:32.094 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 17:55:32.095 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 17:55:32.095 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 17:55:32.096 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 17:55:32.096 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 17:55:32.096 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 17:55:32.097 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 17:55:32.097 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 17:55:32.097 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 17:55:32.098 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 17:55:32.098 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 17:55:32.099 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 17:55:32.099 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 17:55:32.100 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 17:55:32.100 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 17:55:32.100 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 17:55:32.101 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 17:55:32.101 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 17:55:32.102 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.102 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 17:55:32.102 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.103 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 17:55:32.103 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 17:55:32.103 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 17:55:32.104 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 17:55:32.104 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 17:55:32.105 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 17:55:32.105 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 17:55:32.106 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 17:55:32.106 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 17:55:32.106 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 17:55:32.107 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 17:55:32.107 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 17:55:32.108 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 17:55:32.108 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 17:55:32.108 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 17:55:32.109 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 17:55:32.109 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 17:55:32.110 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 17:55:32.110 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 17:55:32.111 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 17:55:32.111 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 17:55:32.111 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 17:55:32.112 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 17:55:32.112 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 17:55:32.113 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.113 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 17:55:32.113 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 17:55:32.114 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:55:32.114 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:55:32.115 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 17:55:32.115 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 17:55:32.115 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 17:55:32.116 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 17:55:32.116 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 17:55:32.117 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 17:55:32.117 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 17:55:32.117 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 17:55:32.118 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 17:55:32.118 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 17:55:32.119 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 17:55:32.119 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 17:55:32.119 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 17:55:32.120 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 17:55:32.790 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 17:55:32.793 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 17:55:32.794 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 17:55:32.794 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 17:55:32.795 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 17:55:32.795 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 17:55:33.738 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 17:55:33.874 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
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+frozendict==2.4.7
+docstring_parser==0.18.0
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+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
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+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
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+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
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+absl-py==2.4.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2abeed558e3af44f177c75ae3d0874aad4c794f2
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T17:55:30.433067Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619667009536"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "x9jkznwt9ikdemo8uj9zrzqct3k98j6y"
+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
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+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/run-rgt7q8d2.wandb
new file mode 100644
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Binary files /dev/null and b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_175530-rgt7q8d2/run-rgt7q8d2.wandb differ
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..f045c0d1bfd57344dcf3c42c20907d55aa84a994
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 18:18:04.844 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 18:18:04.845 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.845 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 18:18:04.846 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 18:18:04.846 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 18:18:04.846 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 18:18:04.847 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 18:18:04.847 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.848 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 18:18:04.848 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.859 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 18:18:04.860 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 18:18:04.860 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 18:18:04.861 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 18:18:04.861 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 18:18:04.862 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 18:18:04.862 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 18:18:04.862 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 18:18:04.863 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 18:18:04.863 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 18:18:04.863 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.864 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 18:18:04.864 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.865 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 18:18:04.865 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 18:18:04.865 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 18:18:04.866 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 18:18:04.866 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 18:18:04.867 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.867 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 18:18:04.867 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.868 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 18:18:04.868 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 18:18:04.869 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 18:18:04.869 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 18:18:04.870 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 18:18:04.870 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 18:18:04.871 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 18:18:04.871 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.871 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 18:18:04.872 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.872 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 18:18:04.873 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 18:18:04.873 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 18:18:04.873 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 18:18:04.874 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 18:18:04.874 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 18:18:04.874 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 18:18:04.875 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.875 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 18:18:04.876 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.876 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 18:18:04.877 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 18:18:04.877 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 18:18:04.877 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 18:18:04.878 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 18:18:04.878 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 18:18:04.878 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 18:18:04.879 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 18:18:04.879 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 18:18:04.880 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 18:18:04.880 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 18:18:04.880 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 18:18:04.881 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 18:18:04.881 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 18:18:04.881 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 18:18:04.882 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 18:18:04.882 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 18:18:04.883 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 18:18:04.883 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 18:18:04.883 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 18:18:04.884 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 18:18:04.884 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 18:18:04.885 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 18:18:04.885 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 18:18:04.885 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 18:18:04.886 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 18:18:04.886 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.887 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 18:18:04.887 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.887 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 18:18:04.888 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 18:18:04.888 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 18:18:04.889 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 18:18:04.889 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 18:18:04.889 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 18:18:04.890 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 18:18:04.890 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 18:18:04.890 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 18:18:04.891 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 18:18:04.891 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 18:18:04.892 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 18:18:04.892 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 18:18:04.892 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 18:18:04.893 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 18:18:04.893 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 18:18:04.894 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 18:18:04.894 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 18:18:04.894 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 18:18:04.895 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 18:18:04.895 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 18:18:04.896 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 18:18:04.896 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 18:18:04.896 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 18:18:04.897 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.897 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 18:18:04.897 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 18:18:04.898 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:18:04.898 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:18:04.899 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 18:18:04.899 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 18:18:04.899 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 18:18:04.900 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 18:18:04.900 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 18:18:04.901 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 18:18:04.901 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 18:18:04.901 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 18:18:04.902 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 18:18:04.902 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 18:18:04.903 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 18:18:04.903 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:18:04.904 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 18:18:04.904 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 18:18:05.568 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 18:18:05.571 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 18:18:05.572 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 18:18:05.572 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 18:18:05.573 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 18:18:05.573 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 18:18:06.431 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 18:18:06.564 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
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+h5py==3.16.0
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+umf==1.1.0
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb058fa4e992ee45788eae717e9ceaded524e3c7
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T18:18:03.432829Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619667136512"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "3kjnl50hzq5tkntqzj50oe3fmovroiwv"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..da772f9258bf1015d8a20e8f45d287841df5e4cb
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,23 @@
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+{"time":"2026-06-29T18:18:04.045550223Z","level":"INFO","msg":"sender: started"}
+{"time":"2026-06-29T18:18:04.845147202Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":5320,"console_lines":1}
+{"time":"2026-06-29T18:18:05.137004573Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T18:18:20.022561383Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T18:18:35.016993665Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-06-29T18:19:50.111240077Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..753ca35c9bf111ca074f3a9852a6fed3ddde5231
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug.log
@@ -0,0 +1,20 @@
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+2026-06-29 18:18:03,453 INFO    MainThread:81567 [wandb_setup.py:_flush():81] Configure stats pid to 81567
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug.log
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/logs/debug-internal.log
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_init.py:init():768] calling init triggers
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
+2026-06-29 18:18:03,454 INFO    MainThread:81567 [wandb_init.py:init():816] starting backend
+2026-06-29 18:18:03,675 INFO    MainThread:81567 [wandb_init.py:init():831] sending inform_init request
+2026-06-29 18:18:04,046 INFO    MainThread:81567 [wandb_init.py:init():836] backend started and connected
+2026-06-29 18:18:04,049 INFO    MainThread:81567 [wandb_init.py:init():906] updated telemetry
+2026-06-29 18:18:04,083 INFO    MainThread:81567 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
+2026-06-29 18:18:04,641 INFO    MainThread:81567 [wandb_init.py:init():969] run resumed
+2026-06-29 18:18:04,642 INFO    MainThread:81567 [wandb_init.py:init():974] starting run threads in backend
+2026-06-29 18:18:04,842 INFO    MainThread:81567 [wandb_run.py:_console_start():2523] atexit reg
+2026-06-29 18:18:04,842 INFO    MainThread:81567 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-06-29 18:18:04,842 INFO    MainThread:81567 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-06-29 18:18:04,842 INFO    MainThread:81567 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-06-29 18:18:04,844 INFO    MainThread:81567 [wandb_init.py:init():1012] run started, returning control to user process
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_181803-rgt7q8d2/run-rgt7q8d2.wandb
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/output.log
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@@ -0,0 +1,133 @@
+2026-06-29 18:40:46.452 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 18:40:46.455 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.455 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 18:40:46.456 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 18:40:46.456 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 18:40:46.457 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 18:40:46.457 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 18:40:46.458 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.458 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 18:40:46.459 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.470 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 18:40:46.470 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 18:40:46.471 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 18:40:46.471 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 18:40:46.471 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 18:40:46.472 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 18:40:46.473 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 18:40:46.473 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 18:40:46.474 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 18:40:46.475 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 18:40:46.475 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.476 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 18:40:46.476 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.476 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 18:40:46.477 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 18:40:46.477 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 18:40:46.478 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 18:40:46.478 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 18:40:46.479 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.479 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 18:40:46.480 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.480 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 18:40:46.480 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 18:40:46.481 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 18:40:46.481 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 18:40:46.482 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 18:40:46.482 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 18:40:46.482 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 18:40:46.483 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.483 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 18:40:46.484 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.484 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 18:40:46.484 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 18:40:46.485 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 18:40:46.485 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 18:40:46.486 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 18:40:46.486 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 18:40:46.486 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 18:40:46.487 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.487 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 18:40:46.488 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.488 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 18:40:46.489 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 18:40:46.489 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 18:40:46.489 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 18:40:46.490 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 18:40:46.490 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 18:40:46.491 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 18:40:46.491 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 18:40:46.491 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 18:40:46.492 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 18:40:46.492 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 18:40:46.492 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 18:40:46.493 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 18:40:46.493 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 18:40:46.494 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 18:40:46.494 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 18:40:46.494 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 18:40:46.495 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 18:40:46.495 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 18:40:46.496 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 18:40:46.496 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 18:40:46.497 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 18:40:46.497 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 18:40:46.497 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 18:40:46.498 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 18:40:46.498 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 18:40:46.499 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.499 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 18:40:46.500 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.500 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 18:40:46.500 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 18:40:46.501 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 18:40:46.501 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 18:40:46.501 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 18:40:46.502 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 18:40:46.502 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 18:40:46.503 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 18:40:46.503 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 18:40:46.503 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 18:40:46.504 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 18:40:46.504 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 18:40:46.505 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 18:40:46.505 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 18:40:46.505 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 18:40:46.506 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 18:40:46.506 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 18:40:46.506 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 18:40:46.507 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 18:40:46.507 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 18:40:46.508 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 18:40:46.508 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 18:40:46.508 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 18:40:46.509 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 18:40:46.509 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.510 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 18:40:46.510 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 18:40:46.511 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:40:46.511 | INFO     | __main__:print_training_configuration:1093 - Checkpoints directory                            : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:40:46.512 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 18:40:46.512 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 18:40:46.513 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 18:40:46.513 | INFO     | __main__:print_training_configuration:1097 - Timer checkpoint directory                       : s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer
+2026-06-29 18:40:46.514 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 18:40:46.514 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 18:40:46.514 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 18:40:46.515 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 18:40:46.515 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 18:40:46.516 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 18:40:46.516 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 18:40:46.516 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 18:40:46.517 | INFO     | __main__:__init__:958 - [Effective Config] world_size=64, rank=0, local_rank=0, sp_size=2, dp_size=32, dp_rank=0, sp_rank=0, batch_size=2, num_generations=4, grad_accum=1
+2026-06-29 18:40:46.517 | INFO     | __main__:_build_video_dataset:2088 - [Effective GRPO Grouping] video_batch_size=2, dp_replicas=32, num_generations=4, ranks_per_group=2, num_groups_per_rank=1, product=64
+2026-06-29 18:40:47.193 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1178 - [Config Validation] video_batch_size=2, num_generations=4, ranks_per_group=2, num_groups_per_rank=1
+2026-06-29 18:40:47.196 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 18:40:47.197 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 18:40:47.197 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 18:40:47.198 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 18:40:47.198 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 18:40:48.134 | INFO     | __main__:_resolve_resume_checkpoint:1860 - No timer checkpoint found at s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/timer; auto-resuming from latest regular checkpoint: s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+2026-06-29 18:40:48.266 | INFO     | __main__:load_checkpoint:1992 - Loading checkpoint from s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/checkpoint-150
+/usr/local/lib/python3.12/site-packages/torch/distributed/c10d_logger.py:83: UserWarning: barrier(): using the device under current context. You can specify `device_id` in `init_process_group` to mute this warning.
+  return func(*args, **kwargs)
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b1d2a4223b299ea4637c50caa52f232f877f547
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/requirements.txt
@@ -0,0 +1,287 @@
+awscli==1.45.30
+boto3==1.43.30
+botocore==1.43.30
+certifi==2026.5.20
+charset-normalizer==3.4.7
+colorama==0.4.6
+docutils==0.19
+idna==3.18
+jmespath==1.1.0
+pip==26.1.2
+pyasn1==0.6.3
+python-dateutil==2.9.0.post0
+PyYAML==6.0.3
+requests==2.34.2
+rsa==4.7.2
+s3transfer==0.18.0
+six==1.17.0
+urllib3==2.7.0
+py-cpuinfo==9.0.0
+hjson==3.1.0
+easydict==1.13
+braceexpand==0.1.7
+antlr4-python3-runtime==4.9.3
+websocket-client==1.9.0
+webdataset==1.0.2
+triton==3.6.0
+torchcodec==0.14.0+cu130
+tifffile==2026.6.1
+tenacity==9.1.4
+smmap==5.0.3
+sentry-sdk==2.63.0
+sentencepiece==0.2.1
+regex==2026.6.28
+pyarrow==24.0.0
+pyaml==26.2.1
+propcache==0.5.2
+opencv-python-headless==4.13.0.92
+omegaconf==2.3.1
+nvidia-nvtx==13.0.85
+ImageIO==2.37.3
+nvidia-nvshmem-cu13==3.4.5
+nvidia-nvjitlink==13.0.88
+av==17.1.0
+nvidia-nccl-cu13==2.28.9
+nvidia-cufile==1.15.1.6
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime==13.0.96
+nvidia-cuda-nvrtc==13.0.88
+attrs==26.1.0
+nvidia-cuda-cupti==13.0.85
+nvidia-cublas==13.1.0.3
+multidict==6.7.1
+msgpack==1.2.1
+Mako==1.3.12
+loguru==0.7.3
+lmdb==2.2.1
+lightning-utilities==0.15.3
+lazy-loader==0.5
+greenlet==3.5.3
+future==1.0.0
+ftfy==6.3.1
+frozenlist==1.8.0
+frozendict==2.4.7
+docstring_parser==0.18.0
+decord==0.6.0
+cuda-pathfinder==1.5.5
+aiohappyeyeballs==2.6.2
+yarl==1.24.2
+typed-argument-parser==1.12.0
+SQLAlchemy==2.0.51
+scikit-image==0.26.0
+qwen-vl-utils==0.0.14
+typeguard==4.5.2
+nvidia-cusparse==12.6.3.3
+nvidia-cufft==12.0.0.61
+nvidia-cudnn-cu13==9.15.1.9
+gitdb==4.0.12
+ffmpeg-python==0.2.0
+einx==0.4.3
+cupy-cuda12x==14.1.1
+cuda-bindings==13.0.3
+cattrs==26.1.0
+aiosignal==1.4.0
+tokenizers==0.22.2
+termcolor==3.3.0
+nvidia-cusolver==12.0.4.66
+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
+diffusers==0.38.0
+coremltools==9.0
+alembic==1.18.5
+aiohttp==3.14.1
+wandb==0.28.0
+torch==2.10.0+cu130
+dataset==2.0.0
+dashscope==1.26.0
+torchvision==0.25.0+cu130
+torchmetrics==1.9.0
+sniffio==1.3.1
+torchdata==0.8.0
+tqdm==4.67.3
+torchaudio==2.10.0+cu130
+deepspeed==0.19.2
+timm==1.0.27
+pytorch-lightning==2.6.5
+peft==0.19.1
+lpips==0.1.4
+lightning==2.6.5
+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
+shortuuid==1.0.13
+setuptools==82.0.0
+safetensors==0.7.0
+pillow==12.1.1
+numpy==2.4.2
+jiter==0.15.0
+fsspec==2026.2.0
+distro==1.9.0
+dill==0.4.1
+tyro==1.0.15
+tiktoken==0.13.0
+multiprocess==0.70.19
+modelscope==1.36.0
+fire==0.7.0
+openai==2.8.0
+datasets==4.8.4
+trl==0.8.6
+angelslim==0.2.2
+huggingface_hub==1.21.0
+transformers==5.12.1
+black==26.5.1
+pathspec==1.1.1
+pytokens==0.4.1
+importlib_metadata==9.0.0
+ml_dtypes==0.5.4
+onnx==1.22.0
+onnx-ir==0.2.1
+onnxscript==0.7.0
+transformer_engine==2.9.0+70f53666
+zipp==4.1.0
+nvidia-mathdx==25.6.0
+einops==0.8.2
+absl-py==2.4.0
+accelerate==1.14.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.14.0
+apsw==3.53.2.0
+apswutils==0.1.2
+beartype==0.22.9
+beautifulsoup4==4.15.0
+blis==1.2.1
+catalogue==2.0.10
+cloudpathlib==0.24.0
+cloudpickle==3.1.2
+confection==0.1.5
+contourpy==1.3.3
+cycler==0.12.1
+cymem==2.0.13
+fastai==2.8.7
+fastcore==1.13.6
+fastdownload==0.0.7
+fastlite==0.2.4
+fastprogress==1.1.6
+fasttransform==0.0.2
+fonttools==4.63.0
+grpcio==1.81.1
+h11==0.16.0
+hf-xet==1.5.1
+httpcore==1.0.9
+httpcore2==2.4.0
+httptools==0.8.0
+httpx==0.28.1
+httpx2==2.4.0
+itsdangerous==2.2.0
+joblib==1.5.3
+kiwisolver==1.5.0
+langcodes==3.5.1
+Markdown==3.10.2
+markdown-it-py==4.2.0
+matplotlib==3.11.0
+mdurl==0.1.2
+mpmath==1.3.0
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+narwhals==2.22.1
+networkx==3.6.1
+nvidia-curand==10.4.0.35
+nvidia-cusparselt-cu13==0.8.0
+oauthlib==3.3.1
+pandas==3.0.3
+plum-dispatch==2.9.0
+preshed==3.0.13
+protobuf==7.35.1
+pydantic==2.13.4
+pydantic_core==2.46.4
+pyparsing==3.3.2
+pyre-extensions==0.0.32
+python-dotenv==1.2.2
+python-fasthtml==0.14.3
+python-multipart==0.0.32
+rich==15.0.0
+s3torchconnector==1.5.0
+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
+shellingham==1.5.4
+smart_open==7.6.1
+soupsieve==2.8.4
+spacy==3.8.7
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.3
+starlette==1.3.1
+sympy==1.14.0
+tabulate==0.10.0
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+thinc==8.3.4
+threadpoolctl==3.6.0
+torchtnt==0.2.4
+truststore==0.10.4
+typer==0.25.1
+typer-slim==0.24.0
+typing-inspect==0.9.0
+typing-inspection==0.4.2
+uvicorn==0.49.0
+uvloop==0.22.1
+wasabi==1.1.3
+watchfiles==1.2.0
+weasel==0.4.3
+websockets==16.0
+Werkzeug==3.1.8
+wrapt==2.2.2
+asttokens==3.0.1
+cffi==2.0.0
+click==8.4.1
+comm==0.2.3
+cryptography==49.0.0
+Cython==3.2.5
+debugpy==1.8.21
+decorator==5.3.1
+executing==2.2.1
+filelock==3.29.4
+h5py==3.16.0
+intel-cmplr-lib-ur==2026.0.0
+intel-openmp==2026.0.0
+ipykernel==7.3.0
+ipython==9.14.1
+ipython_pygments_lexers==1.1.1
+jedi==0.20.0
+Jinja2==3.1.6
+jupyter_client==8.9.1
+jupyter_core==5.9.1
+MarkupSafe==3.0.3
+matplotlib-inline==0.2.2
+mkl==2026.0.0
+mkl-include==2026.0.0
+mpi4py==4.1.2
+nest-asyncio2==1.7.2
+ninja==1.13.0
+onemkl-license==2026.0.0
+opencv-python==4.11.0.86
+packaging==26.2
+parso==0.8.7
+pexpect==4.9.0
+platformdirs==4.10.0
+prompt_toolkit==3.0.52
+psutil==7.2.2
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pybind11==3.0.4
+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
+scipy==1.18.0
+stack-data==0.6.3
+tbb==2023.0.0
+tcmlib==1.5.0
+tornado==6.5.7
+traitlets==5.15.1
+typing_extensions==4.15.0
+tzdata==2026.2
+umf==1.1.0
+wheel==0.47.0
+wcwidth==0.8.1
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1dcda875bb782786f82dd01ce44a2d29674bec00
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/files/wandb-metadata.json
@@ -0,0 +1,185 @@
+{
+  "os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.12.10",
+  "startedAt": "2026-06-29T18:40:45.188758Z",
+  "args": [
+    "--pretrained_model_root",
+    "./ckpts",
+    "--train_video_csv",
+    "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
+    "--reward_model",
+    "snapvideo_vlm",
+    "--vlm_reward_model_path",
+    "/nfs/ywang29/ckpts/Qwen3.5-9B",
+    "--vlm_reward_model_family",
+    "qwen3_5",
+    "--vlm_reward_num_frames",
+    "20",
+    "--vlm_reward_max_pixels",
+    "50176",
+    "--vlm_reward_max_new_tokens",
+    "128",
+    "--vlm_reward_batch_size",
+    "1",
+    "--vlm_reward_score_type",
+    "token_credit",
+    "--vlm_reward_token_credit_max_questions",
+    "5",
+    "--token_credit_loss_mode",
+    "video_adv",
+    "--token_credit_ratio_mode",
+    "weighted_logprob",
+    "--token_credit_spatial_granularity",
+    "window",
+    "--token_credit_spatial_bins",
+    "16",
+    "--token_credit_spatial_window",
+    "3",
+    "--token_credit_chunk_size",
+    "1",
+    "--learning_rate",
+    "1e-5",
+    "--batch_size",
+    "2",
+    "--num_generations",
+    "4",
+    "--max_steps",
+    "10000",
+    "--output_dir",
+    "./outputs",
+    "--enable_wandb",
+    "True",
+    "--project_name",
+    "SAGE-GRPO",
+    "--run_name",
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-window3",
+    "--enable_fsdp",
+    "--enable_gradient_checkpointing",
+    "--sp_size",
+    "2",
+    "--reward_checkpoint_mode",
+    "v3",
+    "--validation_interval",
+    "0",
+    "--validate_at_step0",
+    "False",
+    "--validate_video_length",
+    "121",
+    "--validation_timestep_shift",
+    "5.0",
+    "--use_grad_balancing",
+    "True",
+    "--enable_timestep_permutation",
+    "True",
+    "--sde_type",
+    "sage_grpo",
+    "--kl_weight",
+    "1e-5",
+    "--kl_coef",
+    "1e-7",
+    "--use_moving_KL",
+    "True",
+    "--update_ref_model_step",
+    "10",
+    "--use_dual_kl",
+    "True",
+    "--dual_kl_moving_weight",
+    "1.0",
+    "--dual_kl_step_weight",
+    "0.1",
+    "--reference_mode_offload",
+    "True",
+    "--save_interval",
+    "25",
+    "--timer_interval",
+    "0",
+    "--auto_resume_from_timer",
+    "True",
+    "--checkpoints_directory",
+    "s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3"
+  ],
+  "program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
+  "codePath": "post_train.py",
+  "codePathLocal": "post_train.py",
+  "git": {
+    "remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
+    "commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
+  },
+  "root": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb",
+  "host": "ywang29-hunyuan-sage-qwen35-tcva-w3-worker-0",
+  "username": "yi-fan-wang1216",
+  "executable": "/usr/local/bin/python",
+  "cpu_count": 48,
+  "cpu_count_logical": 96,
+  "gpu": "NVIDIA A100-SXM4-80GB",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "7516777873408",
+      "used": "619670556672"
+    }
+  },
+  "memory": {
+    "total": "1204539252736"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-f6eafbbf-b72f-1725-61a0-5da7fda21fe2"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-8faea6eb-ec0a-0561-c1a7-608821eb24f5"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-6d3845d3-5be7-3130-93f6-aa8bc1fc8f9b"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a80bc0c5-98ed-a833-ec83-51e290f6ac9c"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a8dcbb50-ac55-1c6b-f4a3-66a2e17a2e9f"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-a6632210-2f96-54eb-7c24-6689d8c3ab90"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-e2324dd0-03ea-7053-4212-42facf1acdf7"
+    },
+    {
+      "name": "NVIDIA A100-SXM4-80GB",
+      "memoryTotal": "85899345920",
+      "cudaCores": 6912,
+      "architecture": "Ampere",
+      "uuid": "GPU-20e27620-2f39-65f1-ff0c-215b32505ff5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "wshauqcdwxknn9k32pyyj63aff33uu3f"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..9f5b6e43c066685d74c69d95f48774865d6b1534
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug-internal.log
@@ -0,0 +1,19 @@
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+{"time":"2026-06-29T18:40:46.455781437Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":5453,"console_lines":1}
+{"time":"2026-06-29T18:40:47.00928851Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5f5aa91e61e397f2e3e842b741157d00a9701546
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug.log
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+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug.log
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/logs/debug-internal.log
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:init():768] calling init triggers
+2026-06-29 18:40:45,207 INFO    MainThread:83423 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
+config: {'pretrained_model_root': './ckpts', 'pretrained_transformer_version': '480p_t2v', 'post_train_type': 'grpo', 'learning_rate': 1e-05, 'weight_decay': 0.01, 'max_steps': 10000, 'warmup_steps': 500, 'gradient_accumulation_steps': 1, 'max_grad_norm': 1.0, 'use_muon': True, 'num_train_timesteps': 1000, 'train_timestep_shift': 3.0, 'validation_timestep_shift': 5.0, 'snr_type': 'lognorm', 'task_type': 't2v', 'i2v_prob': 0.3, 'enable_fsdp': True, 'enable_gradient_checkpointing': True, 'sp_size': 2, 'dp_replicate': 1, 'batch_size': 2, 'num_workers': 4, 'prefetch_factor': 2, 'num_generations': 4, 'use_same_noise': False, 'output_dir': './outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'save_interval': 25, 'timer_interval': 0, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw006-4-sage-qwen35-9b-token-credit-video-adv-window3', 'wandb_key': None, 'wandb_username': None, 'wandb_base_url': 'https://api.wandb.ai', 'wandb_entity': None, 'wandb_silent': True, 'dtype': 'bf16', 'master_weight_type': 'fp32', 'seed': 42, 'validation_global_seed': 930, 'validation_interval': 0, 'validation_prompts': None, 'validate_video_length': 121, 'validation_aspect_ratio': '16:9', 'validation_fixed_size': '480x864', 'validation_num_inference_steps': 40, 'validation_negative_prompt': '', 'validation_enable_sr': False, 'validation_prompt_rewrite': False, 'validate_at_step0': False, 'resume_from_checkpoint': None, 'use_lora': False, 'lora_r': 8, 'lora_alpha': 16, 'lora_dropout': 0.0, 'lora_target_modules': None, 'pretrained_lora_path': None, 'train_video_csv': ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv'], 'valid_video_csv': 'assets/demo_sample.csv', 'reward_model': 'snapvideo_vlm', 'reward_config': None, 'reward_checkpoint_mode': 'v3', 'reward_weights': '{"VQ":0.5,"MQ":0.5,"TA":1.0}', 'reward_gradient_credit': False, 'reward_credit_num_frames': 0, 'reward_credit_max_questions': 0, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'token_credit_vlm_model_path': None, 'token_credit_vlm_model_family': None, 'token_credit_vlm_prompt_template': None, 'remote_reward_url': None, 'vlm_reward_model_path': '/nfs/ywang29/ckpts/Qwen3.5-9B', 'vlm_reward_model_family': 'qwen3_5', 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 20, 'vlm_reward_max_pixels': 50176, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 1, 'vlm_reward_score_type': 'token_credit', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 5, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'window', 'token_credit_spatial_bins': 16, 'token_credit_spatial_window': 3, 'token_credit_chunk_size': 1, 'enable_grpo_policy_update': True, 'grpo_sampling_steps': 20, 'sample_n_frames': 81, 'eta': 0.5, 'cfg_scale': 6.0, 'neg_prompt': None, 'data_type': 'video', 'model_type': '16164', 'video_fps': 24, 'vae_name': '16164-32c-hy20250605', 'vae_tiling': False, 'infer_flow_shift_video': 5.0, 'video_bucket_hw_base_size': 480, 'video_bucket_hw_bucket_stride': 32, 'multitask_mask_training_type': 'concat', 'vision_num_semantic_tokens': 729, 'vision_states_dim': 1152, 'sde_type': 'sage_grpo', 'mini_batch_size_per_update': 1, 'clip_range': 0.0001, 'adv_clip_max': 5.0, 'timestep_fraction': 1.0, 'random_train_timestep_count': False, 'random_train_timestep_min': 1, 'random_train_timestep_max': 20, 'use_grad_balancing': True, 'enable_timestep_permutation': True, 'reference_mode_offload': True, 'kl_weight': 1e-05, 'kl_coef': 1e-07, 'kl_min_coef': 1e-07, 'use_moving_KL': True, 'update_ref_model_step': 10, 'use_dual_kl': True, 'dual_kl_moving_weight': 1.0, 'dual_kl_step_weight': 0.1, 'kl_compute_mode': 'rollout_phase', 'glyph_byT5_v2': True, 'byt5_max_length': 256, 'video_uncond_p_byt5': 0.0, 'precision': 'bf16', 'vae_precision': 'fp16', 'val_disable_autocast': False, 'debug_grad_flow': False, 'debug_train_diagnostics_interval': 1, '_wandb': {}}
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diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/run-rgt7q8d2.wandb b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_184045-rgt7q8d2/run-rgt7q8d2.wandb
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