Upload SAGE-GRPO outputs unifiedreward_flex_pairwise

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 38
+already completed: 0
+remaining pairs: 38
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 38,
+  "success": 38,
+  "counts": {
+    "yw002-1-sage-baseline": 22,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 16,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.5789473684210527,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.42105263157894735
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.5789473684210527,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.42105263157894735
+  },
+  "latency_sec": {
+    "mean": 60.19155263157895,
+    "median": 58.727999999999994,
+    "min": 52.215,
+    "max": 78.18
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0.jsonl",
+  "shard_count": 8,
+  "shard_index": 0
+}

outputs/unifiedreward_flex_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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+2036851

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 38
+already completed: 0
+remaining pairs: 38
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 38,
+  "success": 38,
+  "counts": {
+    "yw002-1-sage-baseline": 25,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 13,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.6578947368421053,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.34210526315789475
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.6578947368421053,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.34210526315789475
+  },
+  "latency_sec": {
+    "mean": 59.94857894736842,
+    "median": 58.7105,
+    "min": 52.283,
+    "max": 74.576
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1.jsonl",
+  "shard_count": 8,
+  "shard_index": 1
+}

outputs/unifiedreward_flex_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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+2036852

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 38
+already completed: 0
+remaining pairs: 38
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 38,
+  "success": 38,
+  "counts": {
+    "yw002-1-sage-baseline": 17,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 21,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.4473684210526316,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5526315789473685
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.4473684210526316,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5526315789473685
+  },
+  "latency_sec": {
+    "mean": 60.737947368421054,
+    "median": 57.4915,
+    "min": 52.136,
+    "max": 143.692
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2.jsonl",
+  "shard_count": 8,
+  "shard_index": 2
+}

outputs/unifiedreward_flex_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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+2036853

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 38
+already completed: 0
+remaining pairs: 38
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 38,
+  "success": 38,
+  "counts": {
+    "yw002-1-sage-baseline": 23,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 15,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.6052631578947368,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.39473684210526316
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.6052631578947368,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.39473684210526316
+  },
+  "latency_sec": {
+    "mean": 59.08502631578947,
+    "median": 58.358000000000004,
+    "min": 52.56,
+    "max": 71.732
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3.jsonl",
+  "shard_count": 8,
+  "shard_index": 3
+}

outputs/unifiedreward_flex_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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+2036855

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 37
+already completed: 0
+remaining pairs: 37
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 37,
+  "success": 37,
+  "counts": {
+    "yw002-1-sage-baseline": 24,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 13,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.6486486486486487,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.35135135135135137
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.6486486486486487,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.35135135135135137
+  },
+  "latency_sec": {
+    "mean": 58.988567567567564,
+    "median": 57.961,
+    "min": 52.022,
+    "max": 71.177
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4.jsonl",
+  "shard_count": 8,
+  "shard_index": 4
+}

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

@@ -0,0 +1 @@
+2036856

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 37
+already completed: 0
+remaining pairs: 37
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 37,
+  "success": 37,
+  "counts": {
+    "yw002-1-sage-baseline": 26,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 11,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.7027027027027027,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.2972972972972973
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.7027027027027027,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.2972972972972973
+  },
+  "latency_sec": {
+    "mean": 60.70878378378379,
+    "median": 59.851,
+    "min": 51.801,
+    "max": 77.167
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5.jsonl",
+  "shard_count": 8,
+  "shard_index": 5
+}

outputs/unifiedreward_flex_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 @@
+2036858

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 37
+already completed: 0
+remaining pairs: 37
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 37,
+  "success": 37,
+  "counts": {
+    "yw002-1-sage-baseline": 16,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 21,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.43243243243243246,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5675675675675675
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.43243243243243246,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5675675675675675
+  },
+  "latency_sec": {
+    "mean": 62.65835135135135,
+    "median": 59.136,
+    "min": 52.725,
+    "max": 104.89
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6.jsonl",
+  "shard_count": 8,
+  "shard_index": 6
+}

outputs/unifiedreward_flex_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 @@
+2036861

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

@@ -0,0 +1,42 @@
+dir_a videos: 300
+dir_b videos: 300
+paired videos selected for this shard: 37
+already completed: 0
+remaining pairs: 37
+reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b
+Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration']
+Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText
+[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
+
+
+{
+  "total": 37,
+  "success": 37,
+  "counts": {
+    "yw002-1-sage-baseline": 18,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 19,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
+  },
+  "win_rate_including_ties": {
+    "yw002-1-sage-baseline": 0.4864864864864865,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5135135135135135
+  },
+  "win_rate_decisive_only": {
+    "yw002-1-sage-baseline": 0.4864864864864865,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5135135135135135
+  },
+  "latency_sec": {
+    "mean": 59.68743243243243,
+    "median": 58.427,
+    "min": 53.582,
+    "max": 70.789
+  },
+  "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",
+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
+  "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7.jsonl",
+  "shard_count": 8,
+  "shard_index": 7
+}

outputs/unifiedreward_flex_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 @@
+2036862

outputs/unifiedreward_flex_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 +1,31 @@
+{
+  "total": 38,
+  "success": 38,
+  "counts": {
+    "yw002-1-sage-baseline": 22,
+    "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 16,
+    "tie": 0,
+    "unknown": 0,
+    "failed": 0
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+}

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

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+{
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
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+}

outputs/unifiedreward_flex_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 +1,31 @@
+{
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+  "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b",
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+}

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

@@ -0,0 +1,30 @@
+{
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+}