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+2026-06-29 06:27:34.495 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 06:27:34.497 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.498 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 06:27:34.498 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 06:27:34.499 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 06:27:34.499 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 06:27:34.500 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 06:27:34.500 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.500 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 06:27:34.501 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.512 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 06:27:34.513 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 06:27:34.513 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 06:27:34.514 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 06:27:34.514 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 06:27:34.514 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 06:27:34.515 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 06:27:34.515 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 06:27:34.516 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 06:27:34.516 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 06:27:34.516 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.517 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 06:27:34.517 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.518 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 06:27:34.518 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 06:27:34.519 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 06:27:34.519 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 06:27:34.519 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 06:27:34.520 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.520 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 06:27:34.521 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.521 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 06:27:34.522 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 06:27:34.522 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 06:27:34.522 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 06:27:34.523 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 06:27:34.523 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 06:27:34.524 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 06:27:34.524 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.524 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 06:27:34.525 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.525 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 06:27:34.525 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 06:27:34.526 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 06:27:34.526 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 06:27:34.527 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 06:27:34.527 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 06:27:34.527 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 06:27:34.528 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.528 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 06:27:34.529 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.529 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 06:27:34.529 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 06:27:34.530 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 06:27:34.530 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 06:27:34.531 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 06:27:34.531 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 06:27:34.531 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 06:27:34.532 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 06:27:34.532 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 06:27:34.532 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 06:27:34.533 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 06:27:34.533 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 06:27:34.534 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 06:27:34.534 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 06:27:34.534 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 06:27:34.535 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 06:27:34.535 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 06:27:34.535 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 06:27:34.536 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 06:27:34.536 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 06:27:34.537 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 06:27:34.537 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 06:27:34.538 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 06:27:34.538 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 06:27:34.538 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 06:27:34.539 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 06:27:34.539 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.539 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 06:27:34.540 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.540 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 06:27:34.541 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 06:27:34.541 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 06:27:34.542 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 06:27:34.542 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 06:27:34.542 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 06:27:34.543 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 06:27:34.543 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 06:27:34.543 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 06:27:34.544 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 06:27:34.544 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 06:27:34.544 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 06:27:34.545 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 06:27:34.545 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 06:27:34.546 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 06:27:34.546 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 06:27:34.546 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 06:27:34.547 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 06:27:34.547 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 06:27:34.547 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 06:27:34.548 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 06:27:34.548 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 06:27:34.549 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 06:27:34.549 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 06:27:34.549 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.550 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 06:27:34.550 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 06:27:34.551 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:27:34.551 | 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 06:27:34.551 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 06:27:34.552 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 06:27:34.552 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 06:27:34.553 | 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 06:27:34.553 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 06:27:34.553 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 06:27:34.554 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 06:27:34.554 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 06:27:34.554 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 06:27:34.555 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 06:27:34.555 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 06:27:34.555 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 06:27:34.556 | 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 06:27:34.557 | 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 06:27:35.218 | 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 06:27:35.222 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 06:27:35.222 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 06:27:35.223 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 06:27:35.223 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 06:27:35.224 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 06:27:36.115 | 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 06:27:36.255 | 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_062733-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-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_062733-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
+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
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+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
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+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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+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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+mediapy==1.2.6
+ipdb==0.13.13
+GitPython==3.1.50
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+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
+lpips==0.1.4
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+flash_attn==2.8.3+cu130torch2.10
+xxhash==3.8.0
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+dill==0.4.1
+tyro==1.0.15
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+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
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+black==26.5.1
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+transformer_engine==2.9.0+70f53666
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+python-multipart==0.0.32
+rich==15.0.0
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+s3torchconnectorclient==1.5.0
+scikit-learn==1.9.0
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+websockets==16.0
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+cryptography==49.0.0
+Cython==3.2.5
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+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
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+jupyter_client==8.9.1
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+MarkupSafe==3.0.3
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+platformdirs==4.10.0
+prompt_toolkit==3.0.52
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+pycparser==3.0
+Pygments==2.20.0
+pyOpenSSL==26.3.0
+pyzmq==27.1.0
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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_062733-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..27c5516ef3e5656948f50da69d6322eab8ddc088
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-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": "2026-06-29T06:27:33.293158Z",
+  "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": "619654647808"
+    }
+  },
+  "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": "blbftwyvcxf2vfqr5vna6d5erx2dvlcx"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..828448c885c767f22cf1a04663c642b8bdf00b6c
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-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_062733-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..63ae13c7a8fbafe61ae526c49718792b7c2c1acd
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_062733-rgt7q8d2/logs/debug.log
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+2026-06-29 06:27:33,314 INFO    MainThread:25249 [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_062733-rgt7q8d2/logs/debug-internal.log
+2026-06-29 06:27:33,314 INFO    MainThread:25249 [wandb_init.py:init():768] calling init triggers
+2026-06-29 06:27:33,314 INFO    MainThread:25249 [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_090111-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-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_090111-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5c51bce69e2b7cf0778bbee658abdadc8df771fb
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_090111-rgt7q8d2/logs/debug.log
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+2026-06-29 09:01:11,256 INFO    MainThread:37327 [wandb_init.py:init():768] calling init triggers
+2026-06-29 09:01:11,256 INFO    MainThread:37327 [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_131608-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..8bf20bde627403fdc380f11b5d61a3212bccd02f
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@@ -0,0 +1,133 @@
+2026-06-29 13:16:11.126 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 13:16:11.126 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.127 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 13:16:11.127 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 13:16:11.128 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 13:16:11.128 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 13:16:11.128 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 13:16:11.129 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.130 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 13:16:11.130 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.141 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 13:16:11.142 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 13:16:11.142 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 13:16:11.143 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 13:16:11.143 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 13:16:11.143 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 13:16:11.144 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 13:16:11.144 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
+2026-06-29 13:16:11.145 | INFO     | __main__:print_training_configuration:991 - Glyph byT5 v2                                    : True
+2026-06-29 13:16:11.145 | INFO     | __main__:print_training_configuration:992 - ByT5 max length                                  : 256
+2026-06-29 13:16:11.145 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.146 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 13:16:11.146 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.147 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 13:16:11.147 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 13:16:11.148 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 13:16:11.148 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 13:16:11.149 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 13:16:11.149 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.150 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
+2026-06-29 13:16:11.150 | INFO     | __main__:print_training_configuration:1005 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.151 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
+2026-06-29 13:16:11.151 | INFO     | __main__:print_training_configuration:1007 - DP degree batch size                             : 64
+2026-06-29 13:16:11.151 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 13:16:11.152 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 13:16:11.152 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 13:16:11.152 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 13:16:11.153 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 13:16:11.154 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.154 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 13:16:11.154 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.155 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 13:16:11.155 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 13:16:11.156 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 13:16:11.156 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 13:16:11.157 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 13:16:11.157 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 13:16:11.158 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 13:16:11.158 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.158 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 13:16:11.159 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.159 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 13:16:11.160 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 13:16:11.160 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 13:16:11.161 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 13:16:11.161 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
+2026-06-29 13:16:11.161 | INFO     | __main__:print_training_configuration:1033 - Validation aspect ratio                          : 16:9
+2026-06-29 13:16:11.162 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 13:16:11.162 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 13:16:11.163 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 13:16:11.163 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
+2026-06-29 13:16:11.164 | INFO     | __main__:print_training_configuration:1038 - Sampling eta                                      : 0.5
+2026-06-29 13:16:11.164 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 13:16:11.165 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 13:16:11.165 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 13:16:11.166 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 13:16:11.166 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 13:16:11.166 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 13:16:11.167 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 13:16:11.167 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 13:16:11.167 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 13:16:11.168 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 13:16:11.169 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 13:16:11.169 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 13:16:11.169 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 13:16:11.170 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 13:16:11.170 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 13:16:11.171 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.171 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 13:16:11.172 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.172 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 13:16:11.173 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 13:16:11.173 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 13:16:11.173 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 13:16:11.174 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 13:16:11.174 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 13:16:11.175 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 13:16:11.175 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 13:16:11.176 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 13:16:11.176 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 13:16:11.177 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 13:16:11.177 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 13:16:11.178 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 13:16:11.178 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 13:16:11.178 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 13:16:11.179 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 13:16:11.179 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 13:16:11.180 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 13:16:11.180 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 13:16:11.180 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 13:16:11.181 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 13:16:11.181 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 13:16:11.182 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 13:16:11.182 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 13:16:11.182 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.183 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 13:16:11.183 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 13:16:11.184 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 13:16:11.184 | 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 13:16:11.184 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 13:16:11.185 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 13:16:11.186 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 13:16:11.186 | 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 13:16:11.186 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 13:16:11.187 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 13:16:11.187 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 13:16:11.187 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 13:16:11.188 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 13:16:11.189 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 13:16:11.189 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 13:16:11.189 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 13:16:11.190 | 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 13:16:11.190 | 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 13:16:11.855 | 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 13:16:11.856 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 13:16:11.857 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 13:16:11.857 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 13:16:11.858 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 13:16:11.858 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 13:16:12.787 | 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 13:16:12.952 | 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_131608-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-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_131608-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
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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
+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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+nest-asyncio2==1.7.2
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+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
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+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_131608-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..26df7daebbeabcb01fa24f2c0582c08d77bad8af
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-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": "2026-06-29T13:16:08.272430Z",
+  "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": "619651731456"
+    }
+  },
+  "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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+      "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": "wuw9nztc0etmx1o2ebypsu3iiuly4dxk"
+}
\ No newline at end of file
diff --git a/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/logs/debug-internal.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..7675c06c141cc3d09582bfd519f290fc1661dcc4
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-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_131608-rgt7q8d2/logs/debug.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..13425974542f6f1ce97c394bfddad8b03a46e4bb
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_131608-rgt7q8d2/logs/debug.log
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+2026-06-29 13:16:08,293 INFO    MainThread:57525 [wandb_init.py:init():768] calling init triggers
+2026-06-29 13:16:08,293 INFO    MainThread:57525 [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 13:16:08,293 INFO    MainThread:57525 [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_154854-rgt7q8d2/files/output.log b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-rgt7q8d2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..d986a80de6944270e8f713c2234e7fc80ace2d8c
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+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-rgt7q8d2/files/output.log
@@ -0,0 +1,133 @@
+2026-06-29 15:48:59.847 | INFO     | __main__:print_training_configuration:970 - SYSTEM & HARDWARE CONFIGURATION
+2026-06-29 15:48:59.850 | INFO     | __main__:print_training_configuration:971 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.850 | INFO     | __main__:print_training_configuration:972 - Number of GPUs                                   : 64
+2026-06-29 15:48:59.850 | INFO     | __main__:print_training_configuration:973 - Local rank                                       : 0
+2026-06-29 15:48:59.851 | INFO     | __main__:print_training_configuration:974 - Global rank                                      : 0
+2026-06-29 15:48:59.851 | INFO     | __main__:print_training_configuration:975 - Device                                           : cuda:0
+2026-06-29 15:48:59.852 | INFO     | __main__:print_training_configuration:976 - Master weight dtype                              : torch.float32
+2026-06-29 15:48:59.852 | INFO     | __main__:print_training_configuration:978 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.853 | INFO     | __main__:print_training_configuration:979 - MODEL PARAMETERS & ARCHITECTURE
+2026-06-29 15:48:59.853 | INFO     | __main__:print_training_configuration:980 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.865 | INFO     | __main__:print_training_configuration:983 - Number of total                                  : 8,326,608,160
+2026-06-29 15:48:59.865 | INFO     | __main__:print_training_configuration:984 - Total trainable parameters                        : 8,326,608,160
+2026-06-29 15:48:59.866 | INFO     | __main__:print_training_configuration:985 - DIT model root                                   : ./ckpts
+2026-06-29 15:48:59.866 | INFO     | __main__:print_training_configuration:986 - Transformer version                              : 480p_t2v
+2026-06-29 15:48:59.866 | INFO     | __main__:print_training_configuration:987 - Attention mode                                   : flash
+2026-06-29 15:48:59.867 | INFO     | __main__:print_training_configuration:988 - Gradient checkpointing                           : True
+2026-06-29 15:48:59.867 | INFO     | __main__:print_training_configuration:989 - FSDP enabled                                     : True
+2026-06-29 15:48:59.868 | INFO     | __main__:print_training_configuration:990 - LoRA enabled                                     : False
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+2026-06-29 15:48:59.869 | INFO     | __main__:print_training_configuration:994 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.869 | INFO     | __main__:print_training_configuration:995 - DISTRIBUTED TRAINING CONFIGURATION
+2026-06-29 15:48:59.870 | INFO     | __main__:print_training_configuration:996 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.870 | INFO     | __main__:print_training_configuration:997 - World size                                       : 64
+2026-06-29 15:48:59.871 | INFO     | __main__:print_training_configuration:998 - DP degree                                        : 32
+2026-06-29 15:48:59.871 | INFO     | __main__:print_training_configuration:999 - DP rank                                          : 0
+2026-06-29 15:48:59.871 | INFO     | __main__:print_training_configuration:1000 - SP size                                          : 2
+2026-06-29 15:48:59.872 | INFO     | __main__:print_training_configuration:1001 - SP rank                                          : 0
+2026-06-29 15:48:59.872 | INFO     | __main__:print_training_configuration:1003 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.873 | INFO     | __main__:print_training_configuration:1004 - BATCH SIZE & DATA FLOW CONFIGURATION
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+2026-06-29 15:48:59.874 | INFO     | __main__:print_training_configuration:1006 - Per GPU batch size                               : 2
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+2026-06-29 15:48:59.875 | INFO     | __main__:print_training_configuration:1008 - Gradient accumulation steps                      : 1
+2026-06-29 15:48:59.875 | INFO     | __main__:print_training_configuration:1009 - Num generations                                  : 4
+2026-06-29 15:48:59.875 | INFO     | __main__:print_training_configuration:1010 - Use same noise                                   : False
+2026-06-29 15:48:59.876 | INFO     | __main__:print_training_configuration:1011 - Num workers                                      : 4
+2026-06-29 15:48:59.876 | INFO     | __main__:print_training_configuration:1012 - Prefetch factor                                  : 2
+2026-06-29 15:48:59.877 | INFO     | __main__:print_training_configuration:1014 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.877 | INFO     | __main__:print_training_configuration:1015 - OPTIMIZATION CONFIGURATION
+2026-06-29 15:48:59.877 | INFO     | __main__:print_training_configuration:1016 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.878 | INFO     | __main__:print_training_configuration:1017 - Optimizer                                        : muon
+2026-06-29 15:48:59.878 | INFO     | __main__:print_training_configuration:1018 - Learning rate                                    : 1e-05
+2026-06-29 15:48:59.879 | INFO     | __main__:print_training_configuration:1019 - Weight decay                                     : 0.01
+2026-06-29 15:48:59.879 | INFO     | __main__:print_training_configuration:1020 - Max gradient norm                                : 1.0
+2026-06-29 15:48:59.880 | INFO     | __main__:print_training_configuration:1021 - LR scheduler                                     : constant
+2026-06-29 15:48:59.880 | INFO     | __main__:print_training_configuration:1022 - Warmup steps                                     : 500
+2026-06-29 15:48:59.881 | INFO     | __main__:print_training_configuration:1023 - Max training steps                               : 10000
+2026-06-29 15:48:59.881 | INFO     | __main__:print_training_configuration:1025 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.881 | INFO     | __main__:print_training_configuration:1026 - INFERENCE & VALIDATION CONFIGURATION
+2026-06-29 15:48:59.882 | INFO     | __main__:print_training_configuration:1027 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.882 | INFO     | __main__:print_training_configuration:1028 - Validation interval                              : 0
+2026-06-29 15:48:59.883 | INFO     | __main__:print_training_configuration:1029 - Validate at step 0                               : False
+2026-06-29 15:48:59.883 | INFO     | __main__:print_training_configuration:1030 - Validation video length                          : 121
+2026-06-29 15:48:59.883 | INFO     | __main__:print_training_configuration:1031 - Validation global seed                           : 930
+2026-06-29 15:48:59.884 | INFO     | __main__:print_training_configuration:1032 - Validation inference steps                        : 40
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+2026-06-29 15:48:59.885 | INFO     | __main__:print_training_configuration:1034 - Validation fixed size                            : 480x864
+2026-06-29 15:48:59.885 | INFO     | __main__:print_training_configuration:1035 - Validation prompt rewrite                         : False
+2026-06-29 15:48:59.886 | INFO     | __main__:print_training_configuration:1036 - Validation flow shift                             : 5.0
+2026-06-29 15:48:59.886 | INFO     | __main__:print_training_configuration:1037 - Sampling CFG scale                                : 6.0
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+2026-06-29 15:48:59.887 | INFO     | __main__:print_training_configuration:1039 - Sampling steps (GRPO rollout)                     : 20
+2026-06-29 15:48:59.887 | INFO     | __main__:print_training_configuration:1040 - Token credit loss mode                            : video_adv
+2026-06-29 15:48:59.888 | INFO     | __main__:print_training_configuration:1041 - Token credit ratio mode                           : weighted_logprob
+2026-06-29 15:48:59.888 | INFO     | __main__:print_training_configuration:1042 - Token credit shuffle weights                      : False
+2026-06-29 15:48:59.889 | INFO     | __main__:print_training_configuration:1043 - Token credit spatial granularity                  : window
+2026-06-29 15:48:59.889 | INFO     | __main__:print_training_configuration:1044 - Token credit spatial bins                         : 16
+2026-06-29 15:48:59.890 | INFO     | __main__:print_training_configuration:1045 - Token credit spatial window                       : 3
+2026-06-29 15:48:59.890 | INFO     | __main__:print_training_configuration:1046 - Token credit chunk size                           : 1
+2026-06-29 15:48:59.890 | INFO     | __main__:print_training_configuration:1047 - Token credit source model                         : None
+2026-06-29 15:48:59.891 | INFO     | __main__:print_training_configuration:1048 - Token credit advantage source                     : token
+2026-06-29 15:48:59.891 | INFO     | __main__:print_training_configuration:1049 - Token credit VLM model path                       : None
+2026-06-29 15:48:59.892 | INFO     | __main__:print_training_configuration:1050 - Token credit VLM model family                     : None
+2026-06-29 15:48:59.892 | INFO     | __main__:print_training_configuration:1051 - Random train timestep count                       : False
+2026-06-29 15:48:59.893 | INFO     | __main__:print_training_configuration:1052 - Random train timestep range                       : 1-20
+2026-06-29 15:48:59.893 | INFO     | __main__:print_training_configuration:1056 - SDE type                                          : sage_grpo
+2026-06-29 15:48:59.893 | INFO     | __main__:print_training_configuration:1058 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.894 | INFO     | __main__:print_training_configuration:1059 - GRPO & KL CONFIGURATION
+2026-06-29 15:48:59.894 | INFO     | __main__:print_training_configuration:1060 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.895 | INFO     | __main__:print_training_configuration:1061 - Reward model                                     : snapvideo_vlm
+2026-06-29 15:48:59.895 | INFO     | __main__:print_training_configuration:1062 - Reward gradient credit                          : False
+2026-06-29 15:48:59.896 | INFO     | __main__:print_training_configuration:1063 - Reward credit frames                            : 0
+2026-06-29 15:48:59.896 | INFO     | __main__:print_training_configuration:1064 - Reward credit max questions                     : 0
+2026-06-29 15:48:59.897 | INFO     | __main__:print_training_configuration:1065 - Reward credit metric                            : weighted
+2026-06-29 15:48:59.897 | INFO     | __main__:print_training_configuration:1067 - VLM reward model path                            : /nfs/ywang29/ckpts/Qwen3.5-9B
+2026-06-29 15:48:59.897 | INFO     | __main__:print_training_configuration:1068 - VLM reward model family                          : qwen3_5
+2026-06-29 15:48:59.898 | INFO     | __main__:print_training_configuration:1069 - VLM reward frames                                : 20
+2026-06-29 15:48:59.898 | INFO     | __main__:print_training_configuration:1070 - VLM reward max pixels                            : 50176
+2026-06-29 15:48:59.899 | INFO     | __main__:print_training_configuration:1071 - VLM reward score type                            : token_credit
+2026-06-29 15:48:59.899 | INFO     | __main__:print_training_configuration:1072 - VLM reward max new tokens                        : 128
+2026-06-29 15:48:59.900 | INFO     | __main__:print_training_configuration:1073 - VLM reward batch size                            : 1
+2026-06-29 15:48:59.900 | INFO     | __main__:print_training_configuration:1074 - VLM reward missing score                         : 0.0
+2026-06-29 15:48:59.900 | INFO     | __main__:print_training_configuration:1077 - KL weight                                        : 1e-05
+2026-06-29 15:48:59.901 | INFO     | __main__:print_training_configuration:1078 - KL coef                                          : 1e-07
+2026-06-29 15:48:59.901 | INFO     | __main__:print_training_configuration:1079 - Use moving KL                                    : True
+2026-06-29 15:48:59.902 | INFO     | __main__:print_training_configuration:1080 - Update ref model step                            : 10
+2026-06-29 15:48:59.902 | INFO     | __main__:print_training_configuration:1081 - Use dual KL                                      : True
+2026-06-29 15:48:59.903 | INFO     | __main__:print_training_configuration:1082 - Dual KL moving weight                            : 1.0
+2026-06-29 15:48:59.903 | INFO     | __main__:print_training_configuration:1083 - Dual KL step weight                              : 0.1
+2026-06-29 15:48:59.903 | INFO     | __main__:print_training_configuration:1084 - KL compute mode                                  : rollout_phase
+2026-06-29 15:48:59.904 | INFO     | __main__:print_training_configuration:1085 - Use grad balancing                               : True
+2026-06-29 15:48:59.904 | INFO     | __main__:print_training_configuration:1086 - Enable timestep permutation                      : True
+2026-06-29 15:48:59.905 | INFO     | __main__:print_training_configuration:1087 - Reference mode offload                           : True
+2026-06-29 15:48:59.905 | INFO     | __main__:print_training_configuration:1089 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.906 | INFO     | __main__:print_training_configuration:1090 - LOGGING & CHECKPOINTING CONFIGURATION
+2026-06-29 15:48:59.906 | INFO     | __main__:print_training_configuration:1091 - --------------------------------------------------------------------------------
+2026-06-29 15:48:59.907 | INFO     | __main__:print_training_configuration:1092 - Output directory                                 : ./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 15:48:59.907 | 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 15:48:59.907 | INFO     | __main__:print_training_configuration:1094 - Checkpoint interval                              : 25
+2026-06-29 15:48:59.908 | INFO     | __main__:print_training_configuration:1095 - Timer checkpoint interval                        : 0
+2026-06-29 15:48:59.908 | INFO     | __main__:print_training_configuration:1096 - Auto resume from timer/checkpoint                : True
+2026-06-29 15:48:59.909 | 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 15:48:59.909 | INFO     | __main__:print_training_configuration:1098 - Log interval                                     : 1
+2026-06-29 15:48:59.910 | INFO     | __main__:print_training_configuration:1099 - Resume checkpoint                                : None
+2026-06-29 15:48:59.910 | INFO     | __main__:print_training_configuration:1100 - Train CSV                                         : ['/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv']
+2026-06-29 15:48:59.910 | INFO     | __main__:print_training_configuration:1101 - Valid CSV                                         : assets/demo_sample.csv
+2026-06-29 15:48:59.911 | INFO     | __main__:print_training_configuration:1102 - Seed                                             : 42
+2026-06-29 15:48:59.911 | INFO     | __main__:print_training_configuration:1103 - WandB enabled                                    : True
+2026-06-29 15:48:59.912 | INFO     | __main__:print_training_configuration:1105 - WandB project                                    : SAGE-GRPO
+2026-06-29 15:48:59.912 | INFO     | __main__:print_training_configuration:1106 - WandB run name                                   : yw006-4-sage-qwen35-9b-token-credit-video-adv-window3
+2026-06-29 15:48:59.913 | 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 15:48:59.913 | 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 15:49:00.588 | 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 15:49:00.589 | INFO     | hyvideo.pipelines.hunyuan_video_grpo_pipeline:get_post_train_video_dataloader:1205 - Dataloader init done
+2026-06-29 15:49:00.589 | INFO     | __main__:_train_grpo:2171 - Starting GRPO training...
+2026-06-29 15:49:00.590 | INFO     | __main__:_train_grpo:2172 - Max steps: 10000
+2026-06-29 15:49:00.590 | INFO     | __main__:_train_grpo:2173 - Batch size: 2
+2026-06-29 15:49:00.591 | INFO     | __main__:_train_grpo:2174 - Learning rate: 1e-05
+2026-06-29 15:49:01.473 | 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 15:49:01.600 | 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_154854-rgt7q8d2/files/requirements.txt b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-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_154854-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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+uvloop==0.22.1
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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
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+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
+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_154854-rgt7q8d2/files/wandb-metadata.json b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-rgt7q8d2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f757e9dd3440e69b1098c599b8a5f12f70a51dc8
--- /dev/null
+++ b/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-window3/wandb/wandb/run-20260629_154854-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": "2026-06-29T15:48:54.933224Z",
+  "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,
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