diff --git a/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/logs/vbench2_parallel/Composition.log b/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/logs/vbench2_parallel/Composition.log new file mode 100644 index 0000000000000000000000000000000000000000..e4a8c07914e22ff01b14873d1703cc05c8c5782d --- /dev/null +++ b/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/logs/vbench2_parallel/Composition.log @@ -0,0 +1,21 @@ +[2026-06-08 20:51:52 UTC] COMMAND /root/ckpts/micromamba/envs/vbench2/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/videos/Composition --dimension Composition --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_results/Composition --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_selected_info.json --mode vbench_standard +args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_results/Composition', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/videos/Composition', dimension=['Composition'], 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/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_results/Composition/results_2026-06-08-20:51:55_full_info.json +/root/ckpts/micromamba/envs/vbench2/lib/python3.10/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( +/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 a literal. Did you mean "!="? + if slower_img_feat is not 0: +cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/vbench2_eval/step_100/vbench2_results/Composition/results_2026-06-08-20:51:55_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 +2026-06-08 20:51:59,928 - 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