Add DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain from 91cf0fc7c553
Browse files- .gitattributes +1 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/config.json +107 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/model.safetensors +3 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/train_config.json +217 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/optimizer_param_groups.json +331 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/optimizer_state.safetensors +3 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/rng_state.safetensors +3 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/scheduler_state.json +15 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/training_step.json +3 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/debug-internal.log +393 -17
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/debug.log +24 -23
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/config.yaml +228 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/output.log +116 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/requirements.txt +146 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/wandb-metadata.json +90 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/wandb-summary.json +1 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-core.log +14 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-internal.log +393 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug.log +24 -0
- DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/run-5e56tibb.wandb +3 -0
.gitattributes
CHANGED
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_longtrain/wandb/run-20250518_145405-bqr8y636/run-bqr8y636.wandb filter=lfs diff=lfs merge=lfs -text
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250518_143255-5e56tibb/run-5e56tibb.wandb filter=lfs diff=lfs merge=lfs -text
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_longtrain/wandb/run-20250518_145405-bqr8y636/run-bqr8y636.wandb filter=lfs diff=lfs merge=lfs -text
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/config.json
ADDED
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/model.safetensors
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/pretrained_model/train_config.json
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|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,331 @@
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ADDED
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/320000/training_state/training_step.json
ADDED
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|
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/debug-internal.log
CHANGED
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/debug.log
CHANGED
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config: {'dataset': {'repo_id': 'shylee/so100_pengripG', 'root': '/SSD/LSY/lerobot_dataset/pengripG', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'diffusion', 'n_obs_steps': 2, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'horizon': 16, 'n_action_steps': 8, 'drop_n_last_frames': 7, 'vision_backbone': 'resnet50', 'crop_shape': [224, 224], 'crop_is_random': False, 'pretrained_backbone_weights': 'ResNet50_Weights.IMAGENET1K_V1', 'use_group_norm': False, 'spatial_softmax_num_keypoints': 32, 'use_separate_rgb_encoder_per_camera': False, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'num_train_timesteps': 100, 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-06, 'scheduler_name': 'cosine', 'scheduler_warmup_steps': 500, 'pre_resize_shape': [224, 224], 'freeze_vision_backbone': False, 'use_ac': False, 'ac_threshold': 0.99, 'use_pcg': False, 'pcg_weight': 0.1, 'use_bid': False, 'bid_batch_size': 15, 'bid_mode_size': 3, 'bid_temporal_coherence': 0.5, 'weak_model_path': None, 'weak_model_config': None}, 'output_dir': '/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'job_name': 'DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'resume':
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config: {'dataset': {'repo_id': 'shylee/so100_pengripG', 'root': '/SSD/LSY/lerobot_dataset/pengripG', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'diffusion', 'n_obs_steps': 2, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.images.FrontCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}, 'observation.images.TopCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}, 'observation.images.WristCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [6]}}, 'device': 'cuda', 'use_amp': False, 'horizon': 16, 'n_action_steps': 8, 'drop_n_last_frames': 7, 'vision_backbone': 'resnet50', 'crop_shape': [224, 224], 'crop_is_random': False, 'pretrained_backbone_weights': 'ResNet50_Weights.IMAGENET1K_V1', 'use_group_norm': False, 'spatial_softmax_num_keypoints': 32, 'use_separate_rgb_encoder_per_camera': False, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'num_train_timesteps': 100, 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-06, 'scheduler_name': 'cosine', 'scheduler_warmup_steps': 500, 'pre_resize_shape': [224, 224], 'freeze_vision_backbone': False, 'use_ac': False, 'ac_threshold': 0.99, 'use_pcg': False, 'pcg_weight': 0.1, 'use_bid': False, 'bid_batch_size': 15, 'bid_mode_size': 3, 'bid_temporal_coherence': 0.5, 'weak_model_path': None, 'weak_model_config': None}, 'output_dir': '/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'job_name': 'DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'resume': True, 'seed': 1000, 'num_workers': 4, 'batch_size': 16, 'steps': 320000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adam', 'lr': 0.0001, 'weight_decay': 1e-06, 'grad_clip_norm': 10.0, 'betas': [0.95, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 500, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': '5e56tibb', 'mode': None}, '_wandb': {}}
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repo_id: shylee/so100_pengripG
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revision: null
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root: /SSD/LSY/lerobot_dataset/pengripG
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| 185 |
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- 224
|
| 186 |
+
- 224
|
| 187 |
+
prediction_type: epsilon
|
| 188 |
+
pretrained_backbone_weights: ResNet50_Weights.IMAGENET1K_V1
|
| 189 |
+
scheduler_name: cosine
|
| 190 |
+
scheduler_warmup_steps: 500
|
| 191 |
+
spatial_softmax_num_keypoints: 32
|
| 192 |
+
type: diffusion
|
| 193 |
+
use_ac: false
|
| 194 |
+
use_amp: false
|
| 195 |
+
use_bid: false
|
| 196 |
+
use_film_scale_modulation: true
|
| 197 |
+
use_group_norm: false
|
| 198 |
+
use_pcg: false
|
| 199 |
+
use_separate_rgb_encoder_per_camera: false
|
| 200 |
+
vision_backbone: resnet50
|
| 201 |
+
weak_model_config: null
|
| 202 |
+
weak_model_path: null
|
| 203 |
+
resume:
|
| 204 |
+
value: true
|
| 205 |
+
save_checkpoint:
|
| 206 |
+
value: true
|
| 207 |
+
save_freq:
|
| 208 |
+
value: 20000
|
| 209 |
+
scheduler:
|
| 210 |
+
value:
|
| 211 |
+
name: cosine
|
| 212 |
+
num_warmup_steps: 500
|
| 213 |
+
type: diffuser
|
| 214 |
+
seed:
|
| 215 |
+
value: 1000
|
| 216 |
+
steps:
|
| 217 |
+
value: 320000
|
| 218 |
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use_policy_training_preset:
|
| 219 |
+
value: true
|
| 220 |
+
wandb:
|
| 221 |
+
value:
|
| 222 |
+
disable_artifact: false
|
| 223 |
+
enable: true
|
| 224 |
+
entity: null
|
| 225 |
+
mode: null
|
| 226 |
+
notes: null
|
| 227 |
+
project: lerobot
|
| 228 |
+
run_id: 5e56tibb
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/output.log
ADDED
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| 1 |
+
[1m[34mLogs will be synced with wandb.[0m
|
| 2 |
+
INFO 2025-05-19 15:01:40 ndb_utils.py:96 Track this run --> [1m[33mhttps://wandb.ai/marchmelo0923-postech/lerobot/runs/5e56tibb[0m
|
| 3 |
+
INFO 2025-05-19 15:01:41 ts/train.py:127 Creating dataset
|
| 4 |
+
Resolving data files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 300/300 [00:00<00:00, 214469.27it/s]
|
| 5 |
+
INFO 2025-05-19 15:01:43 ts/train.py:138 Creating policy
|
| 6 |
+
Loading weights from local directory
|
| 7 |
+
INFO 2025-05-19 15:01:45 ts/train.py:144 Creating optimizer and scheduler
|
| 8 |
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INFO 2025-05-19 15:01:45 ts/train.py:156 [1m[33mOutput dir:[0m /SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain
|
| 9 |
+
INFO 2025-05-19 15:01:45 ts/train.py:159 cfg.steps=320000 (320K)
|
| 10 |
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INFO 2025-05-19 15:01:45 ts/train.py:160 dataset.num_frames=63435 (63K)
|
| 11 |
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INFO 2025-05-19 15:01:45 ts/train.py:161 dataset.num_episodes=300
|
| 12 |
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INFO 2025-05-19 15:01:45 ts/train.py:162 num_learnable_params=92242982 (92M)
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INFO 2025-05-19 15:01:45 ts/train.py:163 num_total_params=92243036 (92M)
|
| 14 |
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INFO 2025-05-19 15:01:45 ts/train.py:202 Start offline training on a fixed dataset
|
| 15 |
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INFO 2025-05-19 15:02:48 ts/train.py:232 step:300K smpl:5M ep:23K epch:75.72 loss:0.002 grdn:0.140 lr:9.5e-07 updt_s:0.244 data_s:0.071
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| 19 |
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INFO 2025-05-19 15:12:28 ts/train.py:232 step:302K smpl:5M ep:23K epch:76.22 loss:0.002 grdn:0.131 lr:7.7e-07 updt_s:0.222 data_s:0.063
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INFO 2025-05-19 15:15:23 ts/train.py:232 step:303K smpl:5M ep:23K epch:76.37 loss:0.003 grdn:0.158 lr:7.2e-07 updt_s:0.222 data_s:0.069
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| 30 |
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| 32 |
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|
| 37 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 43 |
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|
| 44 |
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|
| 46 |
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INFO 2025-05-19 15:34:14 ts/train.py:232 step:306K smpl:5M ep:23K epch:77.28 loss:0.002 grdn:0.136 lr:4.5e-07 updt_s:0.221 data_s:0.086
|
| 47 |
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INFO 2025-05-19 15:35:17 ts/train.py:232 step:307K smpl:5M ep:23K epch:77.33 loss:0.002 grdn:0.134 lr:4.4e-07 updt_s:0.221 data_s:0.093
|
| 48 |
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INFO 2025-05-19 15:36:20 ts/train.py:232 step:307K smpl:5M ep:23K epch:77.38 loss:0.003 grdn:0.158 lr:4.3e-07 updt_s:0.221 data_s:0.090
|
| 49 |
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INFO 2025-05-19 15:37:23 ts/train.py:232 step:307K smpl:5M ep:23K epch:77.43 loss:0.003 grdn:0.149 lr:4.1e-07 updt_s:0.221 data_s:0.093
|
| 50 |
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INFO 2025-05-19 15:38:25 ts/train.py:232 step:307K smpl:5M ep:23K epch:77.48 loss:0.002 grdn:0.144 lr:4.0e-07 updt_s:0.221 data_s:0.089
|
| 51 |
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INFO 2025-05-19 15:39:28 ts/train.py:232 step:307K smpl:5M ep:23K epch:77.53 loss:0.002 grdn:0.145 lr:3.9e-07 updt_s:0.221 data_s:0.092
|
| 52 |
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INFO 2025-05-19 15:40:30 ts/train.py:232 step:308K smpl:5M ep:23K epch:77.58 loss:0.002 grdn:0.142 lr:3.8e-07 updt_s:0.221 data_s:0.088
|
| 53 |
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INFO 2025-05-19 15:41:38 ts/train.py:232 step:308K smpl:5M ep:23K epch:77.64 loss:0.002 grdn:0.145 lr:3.7e-07 updt_s:0.221 data_s:0.117
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| 54 |
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|
| 56 |
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INFO 2025-05-19 15:45:00 ts/train.py:232 step:308K smpl:5M ep:23K epch:77.79 loss:0.003 grdn:0.145 lr:3.3e-07 updt_s:0.221 data_s:0.115
|
| 57 |
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|
| 59 |
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|
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|
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|
| 62 |
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|
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|
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|
| 66 |
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|
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|
| 68 |
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|
| 69 |
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INFO 2025-05-19 15:58:46 ts/train.py:232 step:311K smpl:5M ep:24K epch:78.44 loss:0.002 grdn:0.146 lr:2.0e-07 updt_s:0.221 data_s:0.092
|
| 70 |
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|
| 75 |
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|
| 77 |
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| 78 |
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|
| 79 |
+
INFO 2025-05-19 16:09:42 ts/train.py:232 step:313K smpl:5M ep:24K epch:78.95 loss:0.002 grdn:0.138 lr:1.2e-07 updt_s:0.222 data_s:0.095
|
| 80 |
+
INFO 2025-05-19 16:10:45 ts/train.py:232 step:313K smpl:5M ep:24K epch:79.00 loss:0.002 grdn:0.140 lr:1.2e-07 updt_s:0.221 data_s:0.091
|
| 81 |
+
INFO 2025-05-19 16:11:48 ts/train.py:232 step:313K smpl:5M ep:24K epch:79.05 loss:0.002 grdn:0.150 lr:1.1e-07 updt_s:0.221 data_s:0.094
|
| 82 |
+
INFO 2025-05-19 16:12:52 ts/train.py:232 step:314K smpl:5M ep:24K epch:79.10 loss:0.003 grdn:0.149 lr:1.0e-07 updt_s:0.221 data_s:0.095
|
| 83 |
+
INFO 2025-05-19 16:13:56 ts/train.py:232 step:314K smpl:5M ep:24K epch:79.15 loss:0.002 grdn:0.155 lr:9.6e-08 updt_s:0.221 data_s:0.098
|
| 84 |
+
INFO 2025-05-19 16:15:01 ts/train.py:232 step:314K smpl:5M ep:24K epch:79.20 loss:0.002 grdn:0.142 lr:9.0e-08 updt_s:0.223 data_s:0.101
|
| 85 |
+
INFO 2025-05-19 16:16:04 ts/train.py:232 step:314K smpl:5M ep:24K epch:79.25 loss:0.002 grdn:0.132 lr:8.4e-08 updt_s:0.221 data_s:0.094
|
| 86 |
+
INFO 2025-05-19 16:17:08 ts/train.py:232 step:314K smpl:5M ep:24K epch:79.30 loss:0.002 grdn:0.136 lr:7.9e-08 updt_s:0.221 data_s:0.099
|
| 87 |
+
INFO 2025-05-19 16:18:12 ts/train.py:232 step:315K smpl:5M ep:24K epch:79.35 loss:0.002 grdn:0.148 lr:7.3e-08 updt_s:0.221 data_s:0.096
|
| 88 |
+
INFO 2025-05-19 16:19:16 ts/train.py:232 step:315K smpl:5M ep:24K epch:79.40 loss:0.002 grdn:0.143 lr:6.8e-08 updt_s:0.221 data_s:0.097
|
| 89 |
+
INFO 2025-05-19 16:20:19 ts/train.py:232 step:315K smpl:5M ep:24K epch:79.45 loss:0.002 grdn:0.140 lr:6.3e-08 updt_s:0.221 data_s:0.096
|
| 90 |
+
INFO 2025-05-19 16:21:23 ts/train.py:232 step:315K smpl:5M ep:24K epch:79.50 loss:0.002 grdn:0.141 lr:5.8e-08 updt_s:0.221 data_s:0.096
|
| 91 |
+
INFO 2025-05-19 16:22:28 ts/train.py:232 step:315K smpl:5M ep:24K epch:79.55 loss:0.002 grdn:0.145 lr:5.3e-08 updt_s:0.221 data_s:0.107
|
| 92 |
+
INFO 2025-05-19 16:23:37 ts/train.py:232 step:316K smpl:5M ep:24K epch:79.60 loss:0.003 grdn:0.146 lr:4.9e-08 updt_s:0.222 data_s:0.120
|
| 93 |
+
INFO 2025-05-19 16:24:45 ts/train.py:232 step:316K smpl:5M ep:24K epch:79.65 loss:0.002 grdn:0.139 lr:4.5e-08 updt_s:0.221 data_s:0.117
|
| 94 |
+
INFO 2025-05-19 16:25:52 ts/train.py:232 step:316K smpl:5M ep:24K epch:79.70 loss:0.002 grdn:0.129 lr:4.1e-08 updt_s:0.221 data_s:0.113
|
| 95 |
+
INFO 2025-05-19 16:26:59 ts/train.py:232 step:316K smpl:5M ep:24K epch:79.75 loss:0.002 grdn:0.129 lr:3.7e-08 updt_s:0.221 data_s:0.115
|
| 96 |
+
INFO 2025-05-19 16:28:06 ts/train.py:232 step:316K smpl:5M ep:24K epch:79.80 loss:0.002 grdn:0.136 lr:3.3e-08 updt_s:0.221 data_s:0.111
|
| 97 |
+
INFO 2025-05-19 16:29:11 ts/train.py:232 step:317K smpl:5M ep:24K epch:79.85 loss:0.003 grdn:0.154 lr:3.0e-08 updt_s:0.222 data_s:0.104
|
| 98 |
+
INFO 2025-05-19 16:30:14 ts/train.py:232 step:317K smpl:5M ep:24K epch:79.91 loss:0.002 grdn:0.133 lr:2.6e-08 updt_s:0.221 data_s:0.091
|
| 99 |
+
INFO 2025-05-19 16:31:15 ts/train.py:232 step:317K smpl:5M ep:24K epch:79.96 loss:0.003 grdn:0.149 lr:2.3e-08 updt_s:0.221 data_s:0.086
|
| 100 |
+
INFO 2025-05-19 16:32:18 ts/train.py:232 step:317K smpl:5M ep:24K epch:80.01 loss:0.002 grdn:0.141 lr:2.0e-08 updt_s:0.221 data_s:0.089
|
| 101 |
+
INFO 2025-05-19 16:33:19 ts/train.py:232 step:317K smpl:5M ep:24K epch:80.06 loss:0.002 grdn:0.148 lr:1.8e-08 updt_s:0.222 data_s:0.083
|
| 102 |
+
INFO 2025-05-19 16:34:21 ts/train.py:232 step:318K smpl:5M ep:24K epch:80.11 loss:0.002 grdn:0.138 lr:1.5e-08 updt_s:0.222 data_s:0.087
|
| 103 |
+
INFO 2025-05-19 16:35:22 ts/train.py:232 step:318K smpl:5M ep:24K epch:80.16 loss:0.003 grdn:0.152 lr:1.3e-08 updt_s:0.221 data_s:0.084
|
| 104 |
+
INFO 2025-05-19 16:36:25 ts/train.py:232 step:318K smpl:5M ep:24K epch:80.21 loss:0.002 grdn:0.130 lr:1.1e-08 updt_s:0.221 data_s:0.094
|
| 105 |
+
INFO 2025-05-19 16:37:27 ts/train.py:232 step:318K smpl:5M ep:24K epch:80.26 loss:0.002 grdn:0.140 lr:8.7e-09 updt_s:0.221 data_s:0.089
|
| 106 |
+
INFO 2025-05-19 16:38:30 ts/train.py:232 step:318K smpl:5M ep:24K epch:80.31 loss:0.002 grdn:0.140 lr:7.0e-09 updt_s:0.222 data_s:0.091
|
| 107 |
+
INFO 2025-05-19 16:39:32 ts/train.py:232 step:319K smpl:5M ep:24K epch:80.36 loss:0.002 grdn:0.140 lr:5.4e-09 updt_s:0.222 data_s:0.088
|
| 108 |
+
INFO 2025-05-19 16:40:35 ts/train.py:232 step:319K smpl:5M ep:24K epch:80.41 loss:0.002 grdn:0.132 lr:4.1e-09 updt_s:0.221 data_s:0.092
|
| 109 |
+
INFO 2025-05-19 16:41:38 ts/train.py:232 step:319K smpl:5M ep:24K epch:80.46 loss:0.002 grdn:0.146 lr:2.9e-09 updt_s:0.221 data_s:0.090
|
| 110 |
+
INFO 2025-05-19 16:42:42 ts/train.py:232 step:319K smpl:5M ep:24K epch:80.51 loss:0.002 grdn:0.143 lr:2.0e-09 updt_s:0.221 data_s:0.097
|
| 111 |
+
INFO 2025-05-19 16:43:49 ts/train.py:232 step:319K smpl:5M ep:24K epch:80.56 loss:0.002 grdn:0.136 lr:1.2e-09 updt_s:0.221 data_s:0.113
|
| 112 |
+
INFO 2025-05-19 16:44:56 ts/train.py:232 step:320K smpl:5M ep:24K epch:80.61 loss:0.002 grdn:0.148 lr:6.1e-10 updt_s:0.221 data_s:0.113
|
| 113 |
+
INFO 2025-05-19 16:46:03 ts/train.py:232 step:320K smpl:5M ep:24K epch:80.66 loss:0.003 grdn:0.157 lr:2.2e-10 updt_s:0.221 data_s:0.114
|
| 114 |
+
INFO 2025-05-19 16:47:08 ts/train.py:232 step:320K smpl:5M ep:24K epch:80.71 loss:0.002 grdn:0.146 lr:3.2e-11 updt_s:0.222 data_s:0.104
|
| 115 |
+
INFO 2025-05-19 16:47:08 ts/train.py:241 Checkpoint policy after step 320000
|
| 116 |
+
INFO 2025-05-19 16:47:14 ts/train.py:283 End of training
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/requirements.txt
ADDED
|
@@ -0,0 +1,146 @@
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|
|
|
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|
| 1 |
+
pyyaml-include==1.4.1
|
| 2 |
+
pillow==11.2.1
|
| 3 |
+
six==1.17.0
|
| 4 |
+
nvidia-cusparse-cu12==12.3.1.170
|
| 5 |
+
packaging==24.2
|
| 6 |
+
torch==2.6.0
|
| 7 |
+
async-timeout==5.0.1
|
| 8 |
+
wcwidth==0.2.13
|
| 9 |
+
nvidia-nvjitlink-cu12==12.4.127
|
| 10 |
+
pip==25.0.1
|
| 11 |
+
requests==2.32.3
|
| 12 |
+
draccus==0.10.0
|
| 13 |
+
python-dateutil==2.9.0.post0
|
| 14 |
+
numba==0.61.2
|
| 15 |
+
antlr4-python3-runtime==4.9.3
|
| 16 |
+
pyzmq==26.4.0
|
| 17 |
+
termcolor==3.0.1
|
| 18 |
+
pyserial==3.5
|
| 19 |
+
pynput==1.8.1
|
| 20 |
+
pfzy==0.3.4
|
| 21 |
+
deepdiff==8.4.2
|
| 22 |
+
h5py==3.13.0
|
| 23 |
+
imageio==2.37.0
|
| 24 |
+
typing-inspect==0.9.0
|
| 25 |
+
imageio-ffmpeg==0.6.0
|
| 26 |
+
multidict==6.4.3
|
| 27 |
+
fasteners==0.19
|
| 28 |
+
nvidia-cufft-cu12==11.2.1.3
|
| 29 |
+
nvidia-cusolver-cu12==11.6.1.9
|
| 30 |
+
triton==3.2.0
|
| 31 |
+
beautifulsoup4==4.13.4
|
| 32 |
+
annotated-types==0.7.0
|
| 33 |
+
llvmlite==0.44.0
|
| 34 |
+
TorchCodec==0.2.1
|
| 35 |
+
hf_transfer==0.1.9
|
| 36 |
+
cffi==1.17.1
|
| 37 |
+
zarr==2.18.3
|
| 38 |
+
opencv-python-headless==4.11.0.86
|
| 39 |
+
tqdm==4.67.1
|
| 40 |
+
protobuf==5.29.4
|
| 41 |
+
av==14.3.0
|
| 42 |
+
click==8.1.8
|
| 43 |
+
pyarrow==19.0.1
|
| 44 |
+
Flask==3.1.0
|
| 45 |
+
zipp==3.21.0
|
| 46 |
+
importlib_metadata==8.6.1
|
| 47 |
+
urllib3==2.4.0
|
| 48 |
+
huggingface-hub==0.30.2
|
| 49 |
+
gitdb==4.0.12
|
| 50 |
+
nvidia-nccl-cu12==2.21.5
|
| 51 |
+
pydantic_core==2.33.1
|
| 52 |
+
MarkupSafe==3.0.2
|
| 53 |
+
blinker==1.9.0
|
| 54 |
+
aiohappyeyeballs==2.6.1
|
| 55 |
+
einops==0.8.1
|
| 56 |
+
feetech-servo-sdk==1.0.0
|
| 57 |
+
omegaconf==2.3.0
|
| 58 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 59 |
+
gdown==5.2.0
|
| 60 |
+
pycparser==2.22
|
| 61 |
+
pandas==2.2.3
|
| 62 |
+
orderly-set==5.4.0
|
| 63 |
+
certifi==2025.1.31
|
| 64 |
+
torchvision==0.21.0
|
| 65 |
+
sentry-sdk==2.26.1
|
| 66 |
+
dill==0.3.8
|
| 67 |
+
mpmath==1.3.0
|
| 68 |
+
python-xlib==0.33
|
| 69 |
+
mergedeep==1.3.4
|
| 70 |
+
Werkzeug==3.1.3
|
| 71 |
+
prompt_toolkit==3.0.51
|
| 72 |
+
PyYAML==6.0.2
|
| 73 |
+
multiprocess==0.70.16
|
| 74 |
+
toml==0.10.2
|
| 75 |
+
wheel==0.45.1
|
| 76 |
+
platformdirs==4.3.7
|
| 77 |
+
numcodecs==0.13.1
|
| 78 |
+
evdev==1.9.1
|
| 79 |
+
pydantic==2.11.3
|
| 80 |
+
fsspec==2024.12.0
|
| 81 |
+
xxhash==3.5.0
|
| 82 |
+
setproctitle==1.3.5
|
| 83 |
+
propcache==0.3.1
|
| 84 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
| 85 |
+
GitPython==3.1.44
|
| 86 |
+
cloudpickle==3.1.1
|
| 87 |
+
frozenlist==1.6.0
|
| 88 |
+
filelock==3.18.0
|
| 89 |
+
idna==3.10
|
| 90 |
+
lerobot==0.1.0
|
| 91 |
+
Farama-Notifications==0.0.4
|
| 92 |
+
charset-normalizer==3.4.1
|
| 93 |
+
wandb==0.19.9
|
| 94 |
+
tzdata==2025.2
|
| 95 |
+
nvidia-cublas-cu12==12.4.5.8
|
| 96 |
+
pytz==2025.2
|
| 97 |
+
smmap==5.0.2
|
| 98 |
+
networkx==3.4.2
|
| 99 |
+
numpy==2.2.4
|
| 100 |
+
gymnasium==0.29.1
|
| 101 |
+
aiohttp==3.11.16
|
| 102 |
+
psutil==7.0.0
|
| 103 |
+
attrs==25.3.0
|
| 104 |
+
inquirerpy==0.3.4
|
| 105 |
+
nvidia-curand-cu12==10.3.5.147
|
| 106 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 107 |
+
itsdangerous==2.2.0
|
| 108 |
+
asciitree==0.3.3
|
| 109 |
+
rerun-sdk==0.22.1
|
| 110 |
+
mypy-extensions==1.0.0
|
| 111 |
+
regex==2024.11.6
|
| 112 |
+
aiosignal==1.3.2
|
| 113 |
+
docker-pycreds==0.4.0
|
| 114 |
+
sympy==1.13.1
|
| 115 |
+
PySocks==1.7.1
|
| 116 |
+
yarl==1.20.0
|
| 117 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
| 118 |
+
soupsieve==2.6
|
| 119 |
+
Jinja2==3.1.6
|
| 120 |
+
nvidia-nvtx-cu12==12.4.127
|
| 121 |
+
safetensors==0.5.3
|
| 122 |
+
datasets==3.5.0
|
| 123 |
+
typing_extensions==4.13.2
|
| 124 |
+
diffusers==0.33.1
|
| 125 |
+
pymunk==6.11.1
|
| 126 |
+
nvidia-cusparselt-cu12==0.6.2
|
| 127 |
+
typing-inspection==0.4.0
|
| 128 |
+
setuptools==78.1.0
|
| 129 |
+
cmake==4.0.0
|
| 130 |
+
jsonlines==4.0.0
|
| 131 |
+
zipp==3.19.2
|
| 132 |
+
packaging==24.2
|
| 133 |
+
importlib_metadata==8.0.0
|
| 134 |
+
jaraco.context==5.3.0
|
| 135 |
+
jaraco.functools==4.0.1
|
| 136 |
+
backports.tarfile==1.2.0
|
| 137 |
+
autocommand==2.2.2
|
| 138 |
+
inflect==7.3.1
|
| 139 |
+
typeguard==4.3.0
|
| 140 |
+
more-itertools==10.3.0
|
| 141 |
+
typing_extensions==4.12.2
|
| 142 |
+
wheel==0.45.1
|
| 143 |
+
tomli==2.0.1
|
| 144 |
+
jaraco.collections==5.1.0
|
| 145 |
+
platformdirs==4.2.2
|
| 146 |
+
jaraco.text==3.12.1
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,90 @@
|
|
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|
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|
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|
|
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|
|
|
|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-139-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.17",
|
| 4 |
+
"startedAt": "2025-05-19T15:01:39.148320Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--resume=true",
|
| 7 |
+
"--config_path=/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/checkpoints/300000/pretrained_model/train_config.json",
|
| 8 |
+
"--save_freq=20000",
|
| 9 |
+
"--steps=320000",
|
| 10 |
+
"--wandb.run_id=5e56tibb"
|
| 11 |
+
],
|
| 12 |
+
"program": "/NAS/LSY/lerobot/lerobot/scripts/train.py",
|
| 13 |
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"codePath": "lerobot/scripts/train.py",
|
| 14 |
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"git": {
|
| 15 |
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"remote": "https://github.com/huggingface/lerobot.git",
|
| 16 |
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"commit": "a445d9c9da6bea99a8972daa4fe1fdd053d711d2"
|
| 17 |
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},
|
| 18 |
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"root": "/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain",
|
| 19 |
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"host": "91cf0fc7c553",
|
| 20 |
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"executable": "/opt/conda/envs/lerobot/bin/python",
|
| 21 |
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"codePathLocal": "lerobot/scripts/train.py",
|
| 22 |
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"cpu_count": 48,
|
| 23 |
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"cpu_count_logical": 96,
|
| 24 |
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"gpu": "NVIDIA GeForce RTX 3090",
|
| 25 |
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"gpu_count": 8,
|
| 26 |
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"disk": {
|
| 27 |
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"/": {
|
| 28 |
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"total": "1820335460352",
|
| 29 |
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"used": "1158311636992"
|
| 30 |
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}
|
| 31 |
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},
|
| 32 |
+
"memory": {
|
| 33 |
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"total": "253372637184"
|
| 34 |
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},
|
| 35 |
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"cpu": {
|
| 36 |
+
"count": 48,
|
| 37 |
+
"countLogical": 96
|
| 38 |
+
},
|
| 39 |
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"gpu_nvidia": [
|
| 40 |
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{
|
| 41 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 42 |
+
"memoryTotal": "25769803776",
|
| 43 |
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"cudaCores": 10496,
|
| 44 |
+
"architecture": "Ampere"
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 48 |
+
"memoryTotal": "25769803776",
|
| 49 |
+
"cudaCores": 10496,
|
| 50 |
+
"architecture": "Ampere"
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 54 |
+
"memoryTotal": "25769803776",
|
| 55 |
+
"cudaCores": 10496,
|
| 56 |
+
"architecture": "Ampere"
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 60 |
+
"memoryTotal": "25769803776",
|
| 61 |
+
"cudaCores": 10496,
|
| 62 |
+
"architecture": "Ampere"
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 66 |
+
"memoryTotal": "25769803776",
|
| 67 |
+
"cudaCores": 10496,
|
| 68 |
+
"architecture": "Ampere"
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 72 |
+
"memoryTotal": "25769803776",
|
| 73 |
+
"cudaCores": 10496,
|
| 74 |
+
"architecture": "Ampere"
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 78 |
+
"memoryTotal": "25769803776",
|
| 79 |
+
"cudaCores": 10496,
|
| 80 |
+
"architecture": "Ampere"
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"name": "NVIDIA GeForce RTX 3090",
|
| 84 |
+
"memoryTotal": "25769803776",
|
| 85 |
+
"cudaCores": 10496,
|
| 86 |
+
"architecture": "Ampere"
|
| 87 |
+
}
|
| 88 |
+
],
|
| 89 |
+
"cudaVersion": "12.2"
|
| 90 |
+
}
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"train/steps":320000,"train/lr":3.1986937902489527e-11,"train/loss":0.0023125900846207516,"_step":320000,"train/grad_norm":0.1458555322047323,"train/epochs":80.71254039568062,"train/samples":5120000,"train/episodes":24213.762118704188,"_runtime":6336.158246907,"train/update_s":0.2218399324489292,"_wandb":{"runtime":6336},"train/dataloading_s":0.1041360501863528,"_timestamp":1.7476732288169024e+09}
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-core.log
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
| 1 |
+
{"time":"2025-05-19T15:01:38.586929501Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp1u1y4t1j/port-827647.txt","pid":827647,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false}
|
| 2 |
+
{"time":"2025-05-19T15:01:38.591906772Z","level":"INFO","msg":"server is running","addr":{"IP":"127.0.0.1","Port":39277,"Zone":""}}
|
| 3 |
+
{"time":"2025-05-19T15:01:38.592160783Z","level":"INFO","msg":"Will exit if parent process dies.","ppid":827647}
|
| 4 |
+
{"time":"2025-05-19T15:01:38.76709357Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:58104"}
|
| 5 |
+
{"time":"2025-05-19T15:01:38.775741601Z","level":"INFO","msg":"handleInformInit: received","streamId":"5e56tibb","id":"127.0.0.1:58104"}
|
| 6 |
+
{"time":"2025-05-19T15:01:39.112943232Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"5e56tibb","id":"127.0.0.1:58104"}
|
| 7 |
+
{"time":"2025-05-19T16:47:15.306413537Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"127.0.0.1:58104"}
|
| 8 |
+
{"time":"2025-05-19T16:47:15.306537015Z","level":"INFO","msg":"server is shutting down"}
|
| 9 |
+
{"time":"2025-05-19T16:47:15.306525701Z","level":"INFO","msg":"connection: closing","id":"127.0.0.1:58104"}
|
| 10 |
+
{"time":"2025-05-19T16:47:15.306709243Z","level":"INFO","msg":"connection: closed successfully","id":"127.0.0.1:58104"}
|
| 11 |
+
{"time":"2025-05-19T16:47:34.715577816Z","level":"ERROR","msg":"processOutgoingData: flush error","error":"write tcp 127.0.0.1:39277->127.0.0.1:58104: use of closed network connection","id":"127.0.0.1:58104"}
|
| 12 |
+
{"time":"2025-05-19T16:47:35.025804238Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"127.0.0.1:58104"}
|
| 13 |
+
{"time":"2025-05-19T16:47:35.025864301Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"127.0.0.1:58104"}
|
| 14 |
+
{"time":"2025-05-19T16:47:35.025887488Z","level":"INFO","msg":"server is closed"}
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,393 @@
|
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|
| 1 |
+
{"time":"2025-05-19T15:01:38.775891619Z","level":"INFO","msg":"stream: starting","core version":"0.19.9","symlink path":"/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-core.log"}
|
| 2 |
+
{"time":"2025-05-19T15:01:39.112865708Z","level":"INFO","msg":"created new stream","id":"5e56tibb"}
|
| 3 |
+
{"time":"2025-05-19T15:01:39.112931498Z","level":"INFO","msg":"stream: started","id":"5e56tibb"}
|
| 4 |
+
{"time":"2025-05-19T15:01:39.112972146Z","level":"INFO","msg":"sender: started","stream_id":"5e56tibb"}
|
| 5 |
+
{"time":"2025-05-19T15:01:39.113088081Z","level":"INFO","msg":"handler: started","stream_id":"5e56tibb"}
|
| 6 |
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{"time":"2025-05-19T15:01:39.113144792Z","level":"INFO","msg":"writer: Do: started","stream_id":"5e56tibb"}
|
| 7 |
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{"time":"2025-05-19T15:01:40.811234696Z","level":"INFO","msg":"Starting system monitor"}
|
| 8 |
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{"time":"2025-05-19T15:02:48.970606405Z","level":"WARN","msg":"handler: ignoring partial history record","step":300200,"current":308401}
|
| 9 |
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{"time":"2025-05-19T15:38:25.69438689Z","level":"WARN","msg":"handler: ignoring partial history record","step":307200,"current":308401}
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{"time":"2025-05-19T15:39:28.571758776Z","level":"WARN","msg":"handler: ignoring partial history record","step":307400,"current":308401}
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|
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| 376 |
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|
| 377 |
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| 378 |
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{"time":"2025-05-19T15:45:00.713600938Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 379 |
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{"time":"2025-05-19T15:45:00.713724417Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
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| 380 |
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{"time":"2025-05-19T15:45:00.713856416Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 381 |
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{"time":"2025-05-19T15:45:00.713973678Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 382 |
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{"time":"2025-05-19T15:45:00.714098623Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 383 |
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{"time":"2025-05-19T15:45:00.714170071Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 384 |
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{"time":"2025-05-19T15:45:00.714298717Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 385 |
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{"time":"2025-05-19T15:45:00.714359828Z","level":"WARN","msg":"handler: ignoring partial history record","step":308400,"current":308401}
|
| 386 |
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{"time":"2025-05-19T16:47:15.306554546Z","level":"INFO","msg":"stream: closing","id":"5e56tibb"}
|
| 387 |
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{"time":"2025-05-19T16:47:15.306584367Z","level":"INFO","msg":"Stopping system monitor"}
|
| 388 |
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{"time":"2025-05-19T16:47:15.306645827Z","level":"INFO","msg":"Stopped system monitor"}
|
| 389 |
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{"time":"2025-05-19T16:47:34.765612049Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 390 |
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{"time":"2025-05-19T16:47:35.023526244Z","level":"INFO","msg":"handler: closed","stream_id":"5e56tibb"}
|
| 391 |
+
{"time":"2025-05-19T16:47:35.023574923Z","level":"INFO","msg":"writer: Close: closed","stream_id":"5e56tibb"}
|
| 392 |
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{"time":"2025-05-19T16:47:35.023585399Z","level":"INFO","msg":"sender: closed","stream_id":"5e56tibb"}
|
| 393 |
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{"time":"2025-05-19T16:47:35.02365964Z","level":"INFO","msg":"stream: closed","id":"5e56tibb"}
|
DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug.log
ADDED
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| 1 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_setup.py:_flush():67] Current SDK version is 0.19.9
|
| 2 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_setup.py:_flush():67] Configure stats pid to 827647
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| 3 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_setup.py:_flush():67] Loading settings from /root/.config/wandb/settings
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| 4 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_setup.py:_flush():67] Loading settings from /NAS/LSY/lerobot/wandb/settings
|
| 5 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_setup.py:_flush():67] Loading settings from environment variables
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| 6 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_init.py:setup_run_log_directory():662] Logging user logs to /SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug.log
|
| 7 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_init.py:setup_run_log_directory():663] Logging internal logs to /SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/logs/debug-internal.log
|
| 8 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_init.py:init():781] calling init triggers
|
| 9 |
+
2025-05-19 15:01:38,769 INFO MainThread:827647 [wandb_init.py:init():786] wandb.init called with sweep_config: {}
|
| 10 |
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config: {'dataset': {'repo_id': 'shylee/so100_pengripG', 'root': '/SSD/LSY/lerobot_dataset/pengripG', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'diffusion', 'n_obs_steps': 2, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.images.FrontCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}, 'observation.images.TopCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}, 'observation.images.WristCam': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 480, 640]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [6]}}, 'device': 'cuda', 'use_amp': False, 'horizon': 16, 'n_action_steps': 8, 'drop_n_last_frames': 7, 'vision_backbone': 'resnet50', 'crop_shape': [224, 224], 'crop_is_random': False, 'pretrained_backbone_weights': 'ResNet50_Weights.IMAGENET1K_V1', 'use_group_norm': False, 'spatial_softmax_num_keypoints': 32, 'use_separate_rgb_encoder_per_camera': False, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'num_train_timesteps': 100, 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-06, 'scheduler_name': 'cosine', 'scheduler_warmup_steps': 500, 'pre_resize_shape': [224, 224], 'freeze_vision_backbone': False, 'use_ac': False, 'ac_threshold': 0.99, 'use_pcg': False, 'pcg_weight': 0.1, 'use_bid': False, 'bid_batch_size': 15, 'bid_mode_size': 3, 'bid_temporal_coherence': 0.5, 'weak_model_path': None, 'weak_model_config': None}, 'output_dir': '/SSD/LSY/lerobot_model/DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'job_name': 'DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain', 'resume': True, 'seed': 1000, 'num_workers': 4, 'batch_size': 16, 'steps': 320000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adam', 'lr': 0.0001, 'weight_decay': 1e-06, 'grad_clip_norm': 10.0, 'betas': [0.95, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 500, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': '5e56tibb', 'mode': None}, '_wandb': {}}
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DP_pengripG_input224_freeze0_horizon16_transform0_1e-4_shorttrain/wandb/run-20250519_150138-5e56tibb/run-5e56tibb.wandb
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