Upload SAGE-GRPO outputs videoscore2_pairwise

outputs/videoscore2_pairwise/smoke/scores.jsonl

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+{"video_id": "yw002-1-sage-baseline::000_seed_42", "pair_id": "000_seed_42", "sample_index": 0, "seed": 42, "model_name": "yw002-1-sage-baseline", "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "v_score_model": 4.0, "t_score_model": 4.0, "p_score_model": 4.0, "v_score_hard": 4, "t_score_hard": 4, "p_score_hard": 4, "score_token_indexes": {"v": 402, "t": 413, "p": 425}, "output": "\n<think>\nmulti-dimensional analysis: Let me analyze this video based on the provided frames and the text prompt to evaluate the three dimensions. Text Prompt Analysis: The prompt describes a crystal-clear glass ball rolling on a polished wooden tabletop with ambient lighting, capturing a serene, dynamic motion in a harmonious setting. Visual Quality Analysis: Across the frames, the rendering is strong with high resolution and clear detail in the glass ball, reflections, and the wooden surface. Lighting is consistent, and the depth-of-field provides convincing separation between the ball and background. A few frames show minor imperfections (e.g., occasional slight softness or rare artifacts), but these do not substantially detract from the overall impression. Overall, visual quality is solid and near the top end of the scale, though not flawless. Text-to-Video Alignment Analysis: The video largely reflects the core elements of the prompt: a crystal-clear glass ball on a polished wooden surface, with reflections and ambient lighting contributing to a serene atmosphere. The camera appears stable and the ball’s motion is present, though in some frames the motion is subtle rather than clearly demonstrated. Shadows and lighting support the described ambiance, and the scene maintains coherence with the textual description. The alignment is strong but not perfect, consistent with a high-quality match to the prompt. Physical Consistency (Common-sense): The dynamics—rolling ball, light reflections, and interaction with the surface—read as physically plausible. Surface reflections and lighting behave plausibly, and the ball’s trajectory aligns with expected physics. There may be minor timing variations or micro-motions that prevent a flawless physical read, but the overall behavior is coherent and convincing. Ground-truth scores indicate 4 for Visual Quality, 4 for Text-to-Video Alignment, and 4 for Physical Consistency, which matches the overall assessment. In summary, the video demonstrates strong fidelity across all three dimensions, with small imperfections preventing a perfect top score.\n</think>\n\n(1) visual quality: 4\n(2) text-to-video alignment: 4\n(3) physical/common-sense consistency: 4\n", "success": true, "total_score_model": 12.0, "elapsed_sec": 13.589}
+{"video_id": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2::000_seed_42", "pair_id": "000_seed_42", "sample_index": 0, "seed": 42, "model_name": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "v_score_model": 4.0, "t_score_model": 4.0, "p_score_model": 4.0, "v_score_hard": 4, "t_score_hard": 4, "p_score_hard": 4, "score_token_indexes": {"v": 482, "t": 493, "p": 411}, "output": "\n<think>\nmulti-dimensional analysis:\nLet me analyze this video based on the provided frames and the text prompt.\n\nText Prompt Analysis:\nThe prompt describes \"A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting\" \n\nVisual Quality Assessment:\nOverall, the visual quality is strong and aligns with a high-quality render. The ball is clearly visible, reflections and refractions through the glass read convincingly, and the wood texture has good detail. Lighting remains stable across frames, and sharpness is solid though not perfect, with minor softness likely artistic rather than a flaw. There are no major distortions or misalignments, and transitions between frames are smooth. In sum, visuals are robust and coherent, consistent with a 4/5 rating.\n\nText-to-Video Alignment Assessment:\nThe video closely matches the prompt: the crystal ball, polished wooden surface, ambient reflections, and fixed camera are all present. The ball's rolling motion, the interplay of light and shadows, and the harmonious setting are well captured. While micro-level deviations may exist, they do not undermine the overall alignment, supporting a solid 4/5 score.\n\nPhysical/Common-sense Consistency:\nLight behavior, object interactions, and spatial logic adhere to real-world physics. The ball rolls naturally, reflections are physically plausible, and lighting remains coherent with the scene. If any small mismatches occur in shadow or reflection timing, they do not break plausibility and remain within acceptable tolerance. Overall, physical consistency is strong and rated at 4/5.\n\nground-truth of Dim-1: 'Visual Quality':\n4\n\nground-truth of Dim-2: 'Text-to-Video Alignment':\n4\n\nground-truth of Dim-3: 'Physical Consistency' (also referred to as Common-sense Consistency):\n4\n</think>\n\n(1) visual quality: 4\n(2) text-to-video alignment: 4\n(3) physical/common-sense consistency: 4\n", "success": true, "total_score_model": 12.0, "elapsed_sec": 15.261}

outputs/videoscore2_pairwise/smoke/summary.json

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+{
+  "total_score_tasks": 2,
+  "success_score_tasks": 2,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/smoke/scores.jsonl",
+  "shard_count": 1,
+  "shard_index": 0,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 14.425,
+    "median": 14.425,
+    "min": 13.589,
+    "max": 15.261
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_0.log

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+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 0,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.039026666666667,
+    "median": 15.07,
+    "min": 8.692,
+    "max": 24.424
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_0.pid

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+2072956

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_1.log

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+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 1,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.26876,
+    "median": 15.041,
+    "min": 9.448,
+    "max": 24.458
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_1.pid

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+2072957

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_2.log

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+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 2,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.686653333333334,
+    "median": 15.564,
+    "min": 9.737,
+    "max": 21.402
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_2.pid

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+2072958

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_3.log

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+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 3,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.3558,
+    "median": 15.049,
+    "min": 11.252,
+    "max": 27.572
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_3.pid

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+2072959

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_4.log

@@ -0,0 +1,29 @@
+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 4,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.66532,
+    "median": 15.471,
+    "min": 10.615,
+    "max": 23.901
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_4.pid

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+2072961

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_5.log

@@ -0,0 +1,29 @@
+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 5,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.163466666666666,
+    "median": 15.177,
+    "min": 9.29,
+    "max": 22.321
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_5.pid

@@ -0,0 +1 @@
+2072963

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_6.log

@@ -0,0 +1,29 @@
+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 6,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.965933333333334,
+    "median": 16.077,
+    "min": 11.019,
+    "max": 21.873
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_6.pid

@@ -0,0 +1 @@
+2072965

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_7.log

@@ -0,0 +1,29 @@
+total score tasks: 600
+selected for shard: 75
+already completed: 0
+remaining: 75
+model_name_or_path: /root/ckpts/VideoScore2
+
+Loaded VideoScore2 with Qwen2_5_VLForConditionalGeneration
+
+/usr/local/lib/python3.12/site-packages/torchvision/io/_video_deprecation_warning.py:9: UserWarning: The video decoding and encoding capabilities of torchvision are deprecated from version 0.22 and will be removed in version 0.24. We recommend that you migrate to TorchCodec, where we'll consolidate the future decoding/encoding capabilities of PyTorch: https://github.com/pytorch/torchcodec
+  warnings.warn(
+
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 7,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.19204,
+    "median": 15.259,
+    "min": 9.309,
+    "max": 22.809
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_7.pid

@@ -0,0 +1 @@
+2072967

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 0,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.039026666666667,
+    "median": 15.07,
+    "min": 8.692,
+    "max": 24.424
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 1,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.26876,
+    "median": 15.041,
+    "min": 9.448,
+    "max": 24.458
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 2,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.686653333333334,
+    "median": 15.564,
+    "min": 9.737,
+    "max": 21.402
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 3,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.3558,
+    "median": 15.049,
+    "min": 11.252,
+    "max": 27.572
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 4,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.66532,
+    "median": 15.471,
+    "min": 10.615,
+    "max": 23.901
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 5,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.163466666666666,
+    "median": 15.177,
+    "min": 9.29,
+    "max": 22.321
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+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 6,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.965933333333334,
+    "median": 16.077,
+    "min": 11.019,
+    "max": 21.873
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_summary.json

@@ -0,0 +1,18 @@
+{
+  "total_score_tasks": 75,
+  "success_score_tasks": 75,
+  "failed_score_tasks": 0,
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "scores_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_scores.jsonl",
+  "shard_count": 8,
+  "shard_index": 7,
+  "infer_fps": 2.0,
+  "floating_method": "weighted",
+  "do_sample": true,
+  "score_latency_sec": {
+    "mean": 15.19204,
+    "median": 15.259,
+    "min": 9.309,
+    "max": 22.809
+  }
+}

outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/summary.json

@@ -0,0 +1,41 @@
+{
+  "total_pairs": 300,
+  "success_pairs": 300,
+  "total_score_tasks": 600,
+  "success_score_tasks": 600,
+  "counts": {
+    "yw002-1-sage-baseline": 154,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 115,
+    "tie": 31,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.5133333333333333,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.38333333333333336
+  },
+  "win_rate_decisive_only": {
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+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.4275092936802974
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+  "prompt_seed_majority": {
+    "yw002-1-sage-baseline_majority": 54,
+    "tie_majority": 12,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2_majority": 34
+  },
+  "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100",
+  "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100",
+  "model_name_or_path": "/root/ckpts/VideoScore2",
+  "method": "VideoScore2 vs2_float weighted token-prob score; pairwise total=v+t+p",
+  "infer_fps": 2.0,
+  "max_new_tokens": 1024,
+  "do_sample": true,
+  "pairwise_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/pairwise_results.jsonl",
+  "scores_shards_dir": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/videoscore2_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards",
+  "score_latency_sec": {
+    "mean": 15.417125,
+    "median": 15.3655,
+    "min": 8.692,
+    "max": 27.572
+  }
+}