Add files using upload-large-folder tool

outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/logs/vbench2_parallel/Instance_Preservation_shard_03.log

@@ -0,0 +1,38 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/shard_03', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/vbench2_instance_shards/selected_info_instance_shard_03.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-1-sage-videoscore2-token-credit-video-adv/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/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/shard_03/results_2026-06-08-07:32:45_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(
+[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/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/shard_03/results_2026-06-08-07:32:45_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'}
+
+[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
+
  0%|          | 0/12 [00:00<?, ?it/s]qwen-vl-utils using decord to read video.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/vbench2_results/Instance_Preservation_shards/shard_03/results_2026-06-08-07:32:45_eval_results.json
+done

outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Alhambra, First-person perspective, oblique shot, airborne dolly movement.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Alhambra, pan left.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Alhambra, tilt up.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Blue Lagoon, pan left.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Blue Lagoon, pan right.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Blue Lagoon, zoom in.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Burj Khalifa, First-person perspective, oblique shot, airborne dolly movement.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Forbidden City, tilt down.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Laptop, tilt up.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Laptop, zoom in.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Mount Fuji, pan right.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Pyramid, zoom out.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Table, pan right.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/The camera movement is static. Mount Fuji, static shot, the camera is fixed.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/The camera movement is static. Table, static shot, the camera is fixed.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/The camera orbits around in a clockwise direction. Machu Picchu.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/The camera orbits around in a clockwise direction. Vase.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/The camera orbits around in a clockwise direction. Watch.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Vase, pan left.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Vase, tilt up.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Vase, zoom out.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Camera_Motion/Watch, tilt down.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A man is cutting objects.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A man is doing yoga.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A man is running.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is brushing their teeth, then they suddenly start making breakfast.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is checking their email, then they suddenly start making a phone call.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is checking their phone, then they suddenly start watering the plants.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is checking their phone, then they suddenly start watering the plants.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is cleaning the kitchen, then they suddenly start mopping the floor.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is drinking coffee, then they suddenly get up and start sweeping the garage.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is drinking tea, then they suddenly start making a phone call.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is drinking water, then they suddenly start organizing their desk.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is eating a sandwich, then they suddenly start organizing the bookshelf.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is folding clothes, then they suddenly get up and start reading a book.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is getting ready for work, then they suddenly start cleaning the kitchen.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is organizing their closet, then they suddenly start tidying the garage.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is playing a game on their phone, then they suddenly start cleaning the bathroom.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is reading the news, then they suddenly start watering the plants.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is sitting at the table, then they suddenly start drawing on a notepad.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is sitting in a chair, then they suddenly get up and start stretching.-2.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is sitting in a chair, then they suddenly stand up and start stretching.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is sitting on a chair, then they suddenly start cleaning the desk.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is watching a video, then they suddenly get up and start sweeping the yard.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A person is writing an email, then they suddenly get up and start baking cookies.-0.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A woman is dancing.-2.mp4

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+version https://git-lfs.github.com/spec/v1
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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A woman is doing exercises.-1.mp4

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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A woman is jumping.-1.mp4

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+version https://git-lfs.github.com/spec/v1
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outputs/yw008-1-sage-videoscore2-token-credit-video-adv/vbench2_eval/step_100/videos/Human_Identity/A woman is playing basketball.-2.mp4

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