Add files using upload-large-folder tool
Browse files- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_0.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_19.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_22.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_25.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_33.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_34.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_41.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_46.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_48.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_50.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_57.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_59.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_62.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_7.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_9.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/debug.log +19 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/output.log +0 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/requirements.txt +283 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/wandb-metadata.json +167 -0
- outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/logs/debug.log +19 -0
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_0.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_19.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_22.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_25.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_33.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_34.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_41.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_46.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_48.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_50.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_57.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_59.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_62.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_7.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/logs/training_rank_9.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-06-25 18:01:16,347 INFO MainThread:1812 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
|
| 2 |
+
2026-06-25 18:01:16,347 INFO MainThread:1812 [wandb_setup.py:_flush():81] Configure stats pid to 1812
|
| 3 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_init.py:setup_run_log_directory():725] Logging user logs to outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260625_180116-dgy7zq92/logs/debug.log
|
| 5 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260625_180116-dgy7zq92/logs/debug-internal.log
|
| 6 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_init.py:init():768] calling init triggers
|
| 7 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
|
| 8 |
+
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/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', 'save_interval': 100, 'timer_interval': 25, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', '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': 'video_score2', 'reward_config': {'models': {'video_score2': {'weight': 1.0, 'sub_reward': {'VQ': 1.0, 'MQ': 1.0, 'TA': 1.0}}}, 'reward_checkpoint_mode': 'v3', 'reward_gradient_credit': True, 'reward_credit_num_frames': 8, 'reward_credit_metric': 'weighted'}, 'reward_checkpoint_mode': 'v3', 'reward_weights': {'VQ': 1.0, 'MQ': 1.0, 'TA': 1.0}, 'reward_gradient_credit': True, 'reward_credit_num_frames': 8, 'reward_credit_max_questions': 1, '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': None, 'vlm_reward_model_family': None, 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 8, 'vlm_reward_max_pixels': 65536, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 0, 'vlm_reward_score_type': 'logprob', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 8, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'uniform_weighted_logprob', 'token_credit_shuffle_weights': False, 'token_credit_spatial_granularity': 'frame', 'token_credit_spatial_bins': 1, 'token_credit_spatial_window': 1, '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': {}}
|
| 9 |
+
2026-06-25 18:01:16,348 INFO MainThread:1812 [wandb_init.py:init():816] starting backend
|
| 10 |
+
2026-06-25 18:01:16,613 INFO MainThread:1812 [wandb_init.py:init():831] sending inform_init request
|
| 11 |
+
2026-06-25 18:01:16,944 INFO MainThread:1812 [wandb_init.py:init():836] backend started and connected
|
| 12 |
+
2026-06-25 18:01:16,947 INFO MainThread:1812 [wandb_init.py:init():906] updated telemetry
|
| 13 |
+
2026-06-25 18:01:17,001 INFO MainThread:1812 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-06-25 18:01:17,475 INFO MainThread:1812 [wandb_init.py:init():974] starting run threads in backend
|
| 15 |
+
2026-06-25 18:01:17,684 INFO MainThread:1812 [wandb_run.py:_console_start():2523] atexit reg
|
| 16 |
+
2026-06-25 18:01:17,684 INFO MainThread:1812 [wandb_run.py:_redirect():2373] redirect: wrap_raw
|
| 17 |
+
2026-06-25 18:01:17,684 INFO MainThread:1812 [wandb_run.py:_redirect():2442] Wrapping output streams.
|
| 18 |
+
2026-06-25 18:01:17,684 INFO MainThread:1812 [wandb_run.py:_redirect():2465] Redirects installed.
|
| 19 |
+
2026-06-25 18:01:17,686 INFO MainThread:1812 [wandb_init.py:init():1012] run started, returning control to user process
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/requirements.txt
ADDED
|
@@ -0,0 +1,283 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
awscli==1.45.3
|
| 2 |
+
boto3==1.43.3
|
| 3 |
+
botocore==1.43.3
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
charset-normalizer==3.4.7
|
| 6 |
+
colorama==0.4.6
|
| 7 |
+
docutils==0.19
|
| 8 |
+
idna==3.13
|
| 9 |
+
jmespath==1.1.0
|
| 10 |
+
pip==26.1.1
|
| 11 |
+
pyasn1==0.6.3
|
| 12 |
+
python-dateutil==2.9.0.post0
|
| 13 |
+
PyYAML==6.0.3
|
| 14 |
+
requests==2.33.1
|
| 15 |
+
rsa==4.7.2
|
| 16 |
+
s3transfer==0.17.0
|
| 17 |
+
six==1.17.0
|
| 18 |
+
urllib3==2.6.3
|
| 19 |
+
py-cpuinfo==9.0.0
|
| 20 |
+
hjson==3.1.0
|
| 21 |
+
easydict==1.13
|
| 22 |
+
braceexpand==0.1.7
|
| 23 |
+
antlr4-python3-runtime==4.9.3
|
| 24 |
+
websocket-client==1.9.0
|
| 25 |
+
webdataset==1.0.2
|
| 26 |
+
triton==3.6.0
|
| 27 |
+
torchcodec==0.13.0+cu130
|
| 28 |
+
tifffile==2026.5.15
|
| 29 |
+
tenacity==9.1.4
|
| 30 |
+
smmap==5.0.3
|
| 31 |
+
sentry-sdk==2.61.0
|
| 32 |
+
sentencepiece==0.2.1
|
| 33 |
+
safetensors==0.7.0
|
| 34 |
+
regex==2026.5.9
|
| 35 |
+
pyarrow==24.0.0
|
| 36 |
+
pyaml==26.2.1
|
| 37 |
+
propcache==0.5.2
|
| 38 |
+
opencv-python-headless==4.13.0.92
|
| 39 |
+
omegaconf==2.3.0
|
| 40 |
+
lightning-utilities==0.15.3
|
| 41 |
+
nvidia-nvtx==13.0.85
|
| 42 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 43 |
+
lazy-loader==0.5
|
| 44 |
+
nvidia-nvjitlink==13.0.88
|
| 45 |
+
nvidia-nccl-cu13==2.28.9
|
| 46 |
+
imageio-ffmpeg==0.6.0
|
| 47 |
+
nvidia-cufile==1.15.1.6
|
| 48 |
+
nvidia-cuda-runtime==13.0.96
|
| 49 |
+
cuda-pathfinder==1.5.5
|
| 50 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 51 |
+
nvidia-cuda-cupti==13.0.85
|
| 52 |
+
nvidia-cublas==13.1.0.3
|
| 53 |
+
multidict==6.7.1
|
| 54 |
+
msgpack==1.1.2
|
| 55 |
+
Mako==1.3.12
|
| 56 |
+
loguru==0.7.3
|
| 57 |
+
lmdb==2.2.0
|
| 58 |
+
ImageIO==2.37.3
|
| 59 |
+
greenlet==3.5.1
|
| 60 |
+
future==1.0.0
|
| 61 |
+
ftfy==6.3.1
|
| 62 |
+
frozenlist==1.8.0
|
| 63 |
+
frozendict==2.4.7
|
| 64 |
+
docstring_parser==0.18.0
|
| 65 |
+
decord==0.6.0
|
| 66 |
+
av==17.0.1
|
| 67 |
+
attrs==26.1.0
|
| 68 |
+
aiohappyeyeballs==2.6.2
|
| 69 |
+
yarl==1.24.2
|
| 70 |
+
typed-argument-parser==1.12.0
|
| 71 |
+
SQLAlchemy==2.0.50
|
| 72 |
+
scikit-image==0.26.0
|
| 73 |
+
qwen-vl-utils==0.0.14
|
| 74 |
+
nvidia-cusparse==12.6.3.3
|
| 75 |
+
xxhash==3.7.0
|
| 76 |
+
nvidia-cufft==12.0.0.61
|
| 77 |
+
flash_attn==2.8.3+cu130torch2.10
|
| 78 |
+
nvidia-cudnn-cu13==9.15.1.9
|
| 79 |
+
huggingface_hub==0.36.2
|
| 80 |
+
gitdb==4.0.12
|
| 81 |
+
ffmpeg-python==0.2.0
|
| 82 |
+
einx==0.4.3
|
| 83 |
+
cupy-cuda12x==14.1.0
|
| 84 |
+
cuda-bindings==13.0.3
|
| 85 |
+
cattrs==26.1.0
|
| 86 |
+
aiosignal==1.4.0
|
| 87 |
+
tokenizers==0.21.4
|
| 88 |
+
typeguard==4.5.2
|
| 89 |
+
nvidia-cusolver==12.0.4.66
|
| 90 |
+
mediapy==1.2.6
|
| 91 |
+
ipdb==0.13.13
|
| 92 |
+
GitPython==3.1.50
|
| 93 |
+
diffusers==0.38.0
|
| 94 |
+
coremltools==9.0
|
| 95 |
+
alembic==1.18.4
|
| 96 |
+
aiohttp==3.13.5
|
| 97 |
+
wandb==0.27.0
|
| 98 |
+
sniffio==1.3.1
|
| 99 |
+
torch==2.10.0+cu130
|
| 100 |
+
dataset==2.0.0
|
| 101 |
+
dashscope==1.25.19
|
| 102 |
+
torchvision==0.25.0+cu130
|
| 103 |
+
torchmetrics==1.9.0
|
| 104 |
+
torchdata==0.8.0
|
| 105 |
+
termcolor==3.3.0
|
| 106 |
+
torchaudio==2.10.0+cu130
|
| 107 |
+
deepspeed==0.19.0
|
| 108 |
+
timm==1.0.27
|
| 109 |
+
pytorch-lightning==2.6.5
|
| 110 |
+
peft==0.19.1
|
| 111 |
+
lpips==0.1.4
|
| 112 |
+
lightning==2.6.5
|
| 113 |
+
shortuuid==1.0.13
|
| 114 |
+
setuptools==82.0.0
|
| 115 |
+
pillow==12.1.1
|
| 116 |
+
numpy==2.4.2
|
| 117 |
+
jiter==0.15.0
|
| 118 |
+
fsspec==2026.2.0
|
| 119 |
+
distro==1.9.0
|
| 120 |
+
dill==0.4.1
|
| 121 |
+
tyro==1.0.13
|
| 122 |
+
tiktoken==0.13.0
|
| 123 |
+
multiprocess==0.70.19
|
| 124 |
+
modelscope==1.36.0
|
| 125 |
+
fire==0.7.0
|
| 126 |
+
openai==2.8.0
|
| 127 |
+
datasets==4.8.4
|
| 128 |
+
trl==0.8.6
|
| 129 |
+
angelslim==0.2.2
|
| 130 |
+
transformers==4.53.2
|
| 131 |
+
black==26.3.1
|
| 132 |
+
pathspec==1.1.1
|
| 133 |
+
pytokens==0.4.1
|
| 134 |
+
importlib_metadata==9.0.0
|
| 135 |
+
ml_dtypes==0.5.4
|
| 136 |
+
onnx==1.21.0
|
| 137 |
+
onnx-ir==0.2.1
|
| 138 |
+
onnxscript==0.7.0
|
| 139 |
+
transformer_engine==2.9.0+70f53666
|
| 140 |
+
zipp==3.23.1
|
| 141 |
+
nvidia-mathdx==25.6.0
|
| 142 |
+
einops==0.8.2
|
| 143 |
+
absl-py==2.4.0
|
| 144 |
+
accelerate==1.13.0
|
| 145 |
+
annotated-doc==0.0.4
|
| 146 |
+
annotated-types==0.7.0
|
| 147 |
+
anyio==4.13.0
|
| 148 |
+
apsw==3.53.1.0
|
| 149 |
+
apswutils==0.1.2
|
| 150 |
+
beartype==0.22.9
|
| 151 |
+
beautifulsoup4==4.14.3
|
| 152 |
+
blis==1.2.1
|
| 153 |
+
catalogue==2.0.10
|
| 154 |
+
cloudpathlib==0.24.0
|
| 155 |
+
cloudpickle==3.1.2
|
| 156 |
+
confection==0.1.5
|
| 157 |
+
contourpy==1.3.3
|
| 158 |
+
cycler==0.12.1
|
| 159 |
+
cymem==2.0.13
|
| 160 |
+
fastai==2.8.7
|
| 161 |
+
fastcore==1.12.47
|
| 162 |
+
fastdownload==0.0.7
|
| 163 |
+
fastlite==0.2.4
|
| 164 |
+
fastprogress==1.1.6
|
| 165 |
+
fasttransform==0.0.2
|
| 166 |
+
fonttools==4.62.1
|
| 167 |
+
grpcio==1.80.0
|
| 168 |
+
h11==0.16.0
|
| 169 |
+
hf-xet==1.5.0
|
| 170 |
+
httpcore==1.0.9
|
| 171 |
+
httptools==0.7.1
|
| 172 |
+
httpx==0.28.1
|
| 173 |
+
itsdangerous==2.2.0
|
| 174 |
+
joblib==1.5.3
|
| 175 |
+
kiwisolver==1.5.0
|
| 176 |
+
langcodes==3.5.1
|
| 177 |
+
Markdown==3.10.2
|
| 178 |
+
markdown-it-py==4.2.0
|
| 179 |
+
matplotlib==3.10.9
|
| 180 |
+
mdurl==0.1.2
|
| 181 |
+
mpmath==1.3.0
|
| 182 |
+
murmurhash==1.0.15
|
| 183 |
+
mypy_extensions==1.1.0
|
| 184 |
+
networkx==3.6.1
|
| 185 |
+
nvidia-curand==10.4.0.35
|
| 186 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 187 |
+
oauthlib==3.3.1
|
| 188 |
+
pandas==3.0.2
|
| 189 |
+
plum-dispatch==2.9.0
|
| 190 |
+
preshed==3.0.13
|
| 191 |
+
protobuf==7.34.1
|
| 192 |
+
pydantic==2.13.4
|
| 193 |
+
pydantic_core==2.46.4
|
| 194 |
+
pyparsing==3.3.2
|
| 195 |
+
pyre-extensions==0.0.32
|
| 196 |
+
python-dotenv==1.2.2
|
| 197 |
+
python-fasthtml==0.14.1
|
| 198 |
+
python-multipart==0.0.28
|
| 199 |
+
rich==15.0.0
|
| 200 |
+
s3torchconnector==1.5.0
|
| 201 |
+
s3torchconnectorclient==1.5.0
|
| 202 |
+
scikit-learn==1.8.0
|
| 203 |
+
shellingham==1.5.4
|
| 204 |
+
smart_open==7.6.1
|
| 205 |
+
soupsieve==2.8.3
|
| 206 |
+
spacy==3.8.7
|
| 207 |
+
spacy-legacy==3.0.12
|
| 208 |
+
spacy-loggers==1.0.5
|
| 209 |
+
srsly==2.5.3
|
| 210 |
+
starlette==1.0.0
|
| 211 |
+
sympy==1.14.0
|
| 212 |
+
tabulate==0.10.0
|
| 213 |
+
tensorboard==2.20.0
|
| 214 |
+
tensorboard-data-server==0.7.2
|
| 215 |
+
thinc==8.3.4
|
| 216 |
+
threadpoolctl==3.6.0
|
| 217 |
+
torchtnt==0.2.4
|
| 218 |
+
typer==0.25.1
|
| 219 |
+
typer-slim==0.24.0
|
| 220 |
+
typing-inspect==0.9.0
|
| 221 |
+
typing-inspection==0.4.2
|
| 222 |
+
uvicorn==0.46.0
|
| 223 |
+
uvloop==0.22.1
|
| 224 |
+
wasabi==1.1.3
|
| 225 |
+
watchfiles==1.1.1
|
| 226 |
+
weasel==0.4.3
|
| 227 |
+
websockets==16.0
|
| 228 |
+
Werkzeug==3.1.8
|
| 229 |
+
wrapt==2.1.2
|
| 230 |
+
asttokens==3.0.1
|
| 231 |
+
cffi==2.0.0
|
| 232 |
+
click==8.3.3
|
| 233 |
+
comm==0.2.3
|
| 234 |
+
cryptography==48.0.0
|
| 235 |
+
Cython==3.2.4
|
| 236 |
+
debugpy==1.8.20
|
| 237 |
+
decorator==5.2.1
|
| 238 |
+
executing==2.2.1
|
| 239 |
+
filelock==3.29.0
|
| 240 |
+
h5py==3.16.0
|
| 241 |
+
intel-cmplr-lib-ur==2026.0.0
|
| 242 |
+
intel-openmp==2026.0.0
|
| 243 |
+
ipykernel==7.2.0
|
| 244 |
+
ipython==9.13.0
|
| 245 |
+
ipython_pygments_lexers==1.1.1
|
| 246 |
+
jedi==0.20.0
|
| 247 |
+
Jinja2==3.1.6
|
| 248 |
+
jupyter_client==8.8.0
|
| 249 |
+
jupyter_core==5.9.1
|
| 250 |
+
MarkupSafe==3.0.3
|
| 251 |
+
matplotlib-inline==0.2.2
|
| 252 |
+
mkl==2026.0.0
|
| 253 |
+
mkl-include==2026.0.0
|
| 254 |
+
mpi4py==4.1.1
|
| 255 |
+
nest-asyncio==1.6.0
|
| 256 |
+
ninja==1.13.0
|
| 257 |
+
onemkl-license==2026.0.0
|
| 258 |
+
opencv-python==4.11.0.86
|
| 259 |
+
packaging==26.2
|
| 260 |
+
parso==0.8.7
|
| 261 |
+
pexpect==4.9.0
|
| 262 |
+
platformdirs==4.9.6
|
| 263 |
+
prompt_toolkit==3.0.52
|
| 264 |
+
psutil==7.2.2
|
| 265 |
+
ptyprocess==0.7.0
|
| 266 |
+
pure_eval==0.2.3
|
| 267 |
+
pybind11==3.0.4
|
| 268 |
+
pycparser==3.0
|
| 269 |
+
Pygments==2.20.0
|
| 270 |
+
pyOpenSSL==26.2.0
|
| 271 |
+
pyzmq==27.1.0
|
| 272 |
+
scipy==1.17.1
|
| 273 |
+
stack-data==0.6.3
|
| 274 |
+
tbb==2023.0.0
|
| 275 |
+
tcmlib==1.5.0
|
| 276 |
+
tornado==6.5.5
|
| 277 |
+
tqdm==4.67.3
|
| 278 |
+
traitlets==5.15.0
|
| 279 |
+
typing_extensions==4.15.0
|
| 280 |
+
tzdata==2026.2
|
| 281 |
+
umf==1.1.0
|
| 282 |
+
wheel==0.47.0
|
| 283 |
+
wcwidth==0.7.0
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,167 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.10",
|
| 4 |
+
"startedAt": "2026-05-29T20:46:15.241596Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--pretrained_model_root",
|
| 7 |
+
"./ckpts",
|
| 8 |
+
"--train_video_csv",
|
| 9 |
+
"/nfs/ywang29/Reward_finetuning/SAGE-GRPO/assets/demo_train_decomposed_binary5.csv",
|
| 10 |
+
"--reward_model",
|
| 11 |
+
"video_score2",
|
| 12 |
+
"--reward_weights",
|
| 13 |
+
"{\"VQ\":1.0,\"MQ\":1.0,\"TA\":1.0}",
|
| 14 |
+
"--reward_gradient_credit",
|
| 15 |
+
"True",
|
| 16 |
+
"--reward_credit_num_frames",
|
| 17 |
+
"8",
|
| 18 |
+
"--reward_credit_max_questions",
|
| 19 |
+
"1",
|
| 20 |
+
"--reward_credit_metric",
|
| 21 |
+
"weighted",
|
| 22 |
+
"--token_credit_loss_mode",
|
| 23 |
+
"video_adv",
|
| 24 |
+
"--token_credit_ratio_mode",
|
| 25 |
+
"uniform_weighted_logprob",
|
| 26 |
+
"--auto_resume_from_timer",
|
| 27 |
+
"True",
|
| 28 |
+
"--learning_rate",
|
| 29 |
+
"1e-5",
|
| 30 |
+
"--batch_size",
|
| 31 |
+
"2",
|
| 32 |
+
"--num_generations",
|
| 33 |
+
"4",
|
| 34 |
+
"--max_steps",
|
| 35 |
+
"10000",
|
| 36 |
+
"--output_dir",
|
| 37 |
+
"./outputs",
|
| 38 |
+
"--enable_wandb",
|
| 39 |
+
"True",
|
| 40 |
+
"--project_name",
|
| 41 |
+
"SAGE-GRPO",
|
| 42 |
+
"--run_name",
|
| 43 |
+
"yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting",
|
| 44 |
+
"--enable_fsdp",
|
| 45 |
+
"--enable_gradient_checkpointing",
|
| 46 |
+
"--sp_size",
|
| 47 |
+
"2",
|
| 48 |
+
"--reward_checkpoint_mode",
|
| 49 |
+
"v3",
|
| 50 |
+
"--validation_interval",
|
| 51 |
+
"0",
|
| 52 |
+
"--validate_at_step0",
|
| 53 |
+
"False",
|
| 54 |
+
"--validate_video_length",
|
| 55 |
+
"121",
|
| 56 |
+
"--validation_timestep_shift",
|
| 57 |
+
"5.0",
|
| 58 |
+
"--use_grad_balancing",
|
| 59 |
+
"True",
|
| 60 |
+
"--enable_timestep_permutation",
|
| 61 |
+
"True",
|
| 62 |
+
"--sde_type",
|
| 63 |
+
"sage_grpo",
|
| 64 |
+
"--kl_weight",
|
| 65 |
+
"1e-5",
|
| 66 |
+
"--kl_coef",
|
| 67 |
+
"1e-7",
|
| 68 |
+
"--use_moving_KL",
|
| 69 |
+
"True",
|
| 70 |
+
"--update_ref_model_step",
|
| 71 |
+
"10",
|
| 72 |
+
"--use_dual_kl",
|
| 73 |
+
"True",
|
| 74 |
+
"--dual_kl_moving_weight",
|
| 75 |
+
"1.0",
|
| 76 |
+
"--dual_kl_step_weight",
|
| 77 |
+
"0.1",
|
| 78 |
+
"--reference_mode_offload",
|
| 79 |
+
"True",
|
| 80 |
+
"--checkpoints_directory",
|
| 81 |
+
"s3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting"
|
| 82 |
+
],
|
| 83 |
+
"program": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/post_train.py",
|
| 84 |
+
"codePath": "post_train.py",
|
| 85 |
+
"codePathLocal": "post_train.py",
|
| 86 |
+
"git": {
|
| 87 |
+
"remote": "https://github.com/Tencent-Hunyuan/SAGE-GRPO.git",
|
| 88 |
+
"commit": "779776e42732e0262b3f2844dd206d9d8f043b2f"
|
| 89 |
+
},
|
| 90 |
+
"root": "./outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb",
|
| 91 |
+
"host": "ywang29-hunyuan-sage-vs2-tcva-abl-nw-worker-0",
|
| 92 |
+
"username": "yi-fan-wang1216",
|
| 93 |
+
"executable": "/usr/local/bin/python",
|
| 94 |
+
"cpu_count": 48,
|
| 95 |
+
"cpu_count_logical": 96,
|
| 96 |
+
"gpu": "NVIDIA A100-SXM4-80GB",
|
| 97 |
+
"gpu_count": 8,
|
| 98 |
+
"disk": {
|
| 99 |
+
"/": {
|
| 100 |
+
"total": "7516777873408",
|
| 101 |
+
"used": "125902168064"
|
| 102 |
+
}
|
| 103 |
+
},
|
| 104 |
+
"memory": {
|
| 105 |
+
"total": "1204539265024"
|
| 106 |
+
},
|
| 107 |
+
"gpu_nvidia": [
|
| 108 |
+
{
|
| 109 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 110 |
+
"memoryTotal": "85899345920",
|
| 111 |
+
"cudaCores": 6912,
|
| 112 |
+
"architecture": "Ampere",
|
| 113 |
+
"uuid": "GPU-5d116268-210b-57db-2b03-f1aabeab6fd2"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 117 |
+
"memoryTotal": "85899345920",
|
| 118 |
+
"cudaCores": 6912,
|
| 119 |
+
"architecture": "Ampere",
|
| 120 |
+
"uuid": "GPU-b23d9c11-79de-3572-4a00-db7bd0e9b70d"
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 124 |
+
"memoryTotal": "85899345920",
|
| 125 |
+
"cudaCores": 6912,
|
| 126 |
+
"architecture": "Ampere",
|
| 127 |
+
"uuid": "GPU-4f20ada8-fcc0-b260-b094-0761ca5e508f"
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 131 |
+
"memoryTotal": "85899345920",
|
| 132 |
+
"cudaCores": 6912,
|
| 133 |
+
"architecture": "Ampere",
|
| 134 |
+
"uuid": "GPU-cd1a414c-3b66-bffa-5d71-4d05864102d8"
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 138 |
+
"memoryTotal": "85899345920",
|
| 139 |
+
"cudaCores": 6912,
|
| 140 |
+
"architecture": "Ampere",
|
| 141 |
+
"uuid": "GPU-5aa5a39d-c2d7-a96e-7f70-ff385c294b9d"
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 145 |
+
"memoryTotal": "85899345920",
|
| 146 |
+
"cudaCores": 6912,
|
| 147 |
+
"architecture": "Ampere",
|
| 148 |
+
"uuid": "GPU-6e5af7bd-1fda-e18b-8099-9a420b5fa901"
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 152 |
+
"memoryTotal": "85899345920",
|
| 153 |
+
"cudaCores": 6912,
|
| 154 |
+
"architecture": "Ampere",
|
| 155 |
+
"uuid": "GPU-2d5becf4-3167-7149-b346-42a95d41af41"
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"name": "NVIDIA A100-SXM4-80GB",
|
| 159 |
+
"memoryTotal": "85899345920",
|
| 160 |
+
"cudaCores": 6912,
|
| 161 |
+
"architecture": "Ampere",
|
| 162 |
+
"uuid": "GPU-b39fb2e0-d263-ba3f-7517-808e2ec43b86"
|
| 163 |
+
}
|
| 164 |
+
],
|
| 165 |
+
"cudaVersion": "13.0",
|
| 166 |
+
"writerId": "8mj0mc92yce688yjzo4d8uva15h001pu"
|
| 167 |
+
}
|
outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-05-29 20:46:15,262 INFO MainThread:1925 [wandb_setup.py:_flush():81] Current SDK version is 0.27.0
|
| 2 |
+
2026-05-29 20:46:15,263 INFO MainThread:1925 [wandb_setup.py:_flush():81] Configure stats pid to 1925
|
| 3 |
+
2026-05-29 20:46:15,263 INFO MainThread:1925 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-05-29 20:46:15,263 INFO MainThread:1925 [wandb_init.py:setup_run_log_directory():723] Logging user logs to outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/logs/debug.log
|
| 5 |
+
2026-05-29 20:46:15,264 INFO MainThread:1925 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to outputs/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/wandb/wandb/run-20260529_204615-dgy7zq92/logs/debug-internal.log
|
| 6 |
+
2026-05-29 20:46:15,264 INFO MainThread:1925 [wandb_init.py:init():851] calling init triggers
|
| 7 |
+
2026-05-29 20:46:15,264 INFO MainThread:1925 [wandb_init.py:init():856] wandb.init called with sweep_config: {}
|
| 8 |
+
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/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', 'checkpoints_directory': 's3://snap-genvid-us-east-2/ywang29/checkpoints_large_model/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting/yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', 'save_interval': 100, 'timer_interval': 25, 'auto_resume_from_timer': True, 'log_interval': 1, 'enable_wandb': True, 'project_name': 'SAGE-GRPO', 'run_name': 'yw008-2-sage-videoscore2-token-credit-video-adv-no-weighting', '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': 'video_score2', 'reward_config': {'models': {'video_score2': {'weight': 1.0, 'sub_reward': {'VQ': 1.0, 'MQ': 1.0, 'TA': 1.0}}}, 'reward_checkpoint_mode': 'v3', 'reward_gradient_credit': True, 'reward_credit_num_frames': 8, 'reward_credit_metric': 'weighted'}, 'reward_checkpoint_mode': 'v3', 'reward_weights': {'VQ': 1.0, 'MQ': 1.0, 'TA': 1.0}, 'reward_gradient_credit': True, 'reward_credit_num_frames': 8, 'reward_credit_max_questions': 1, 'reward_credit_metric': 'weighted', 'token_credit_source_model': None, 'token_credit_advantage_source': 'token', 'token_credit_remote_url': None, 'remote_reward_url': None, 'vlm_reward_model_path': None, 'vlm_reward_model_family': None, 'vlm_reward_prompt_template': None, 'vlm_reward_num_frames': 8, 'vlm_reward_max_pixels': 65536, 'vlm_reward_max_new_tokens': 128, 'vlm_reward_batch_size': 0, 'vlm_reward_score_type': 'logprob', 'vlm_reward_missing_score': 0.0, 'vlm_reward_video_sample_type': 'uniform', 'vlm_reward_token_credit_max_questions': 8, 'token_credit_loss_mode': 'video_adv', 'token_credit_ratio_mode': 'uniform_weighted_logprob', 'token_credit_shuffle_weights': False, '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': {}}
|
| 9 |
+
2026-05-29 20:46:15,264 INFO MainThread:1925 [wandb_init.py:init():899] starting backend
|
| 10 |
+
2026-05-29 20:46:15,528 INFO MainThread:1925 [wandb_init.py:init():914] sending inform_init request
|
| 11 |
+
2026-05-29 20:46:16,012 INFO MainThread:1925 [wandb_init.py:init():919] backend started and connected
|
| 12 |
+
2026-05-29 20:46:16,015 INFO MainThread:1925 [wandb_init.py:init():989] updated telemetry
|
| 13 |
+
2026-05-29 20:46:16,047 INFO MainThread:1925 [wandb_init.py:init():1012] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-05-29 20:46:16,402 INFO MainThread:1925 [wandb_init.py:init():1057] starting run threads in backend
|
| 15 |
+
2026-05-29 20:46:16,600 INFO MainThread:1925 [wandb_run.py:_console_start():2509] atexit reg
|
| 16 |
+
2026-05-29 20:46:16,600 INFO MainThread:1925 [wandb_run.py:_redirect():2359] redirect: wrap_raw
|
| 17 |
+
2026-05-29 20:46:16,600 INFO MainThread:1925 [wandb_run.py:_redirect():2428] Wrapping output streams.
|
| 18 |
+
2026-05-29 20:46:16,600 INFO MainThread:1925 [wandb_run.py:_redirect():2451] Redirects installed.
|
| 19 |
+
2026-05-29 20:46:16,601 INFO MainThread:1925 [wandb_init.py:init():1095] run started, returning control to user process
|