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Browse files- .gitattributes +9 -0
- train/act_so101/checkpoints/020000/training_state/rng_state.safetensors +0 -0
- train/act_so101/checkpoints/040000/training_state/rng_state.safetensors +0 -0
- train/act_so101/checkpoints/060000/training_state/rng_state.safetensors +0 -0
- train/act_so101/checkpoints/080000/pretrained_model/config.json +64 -0
- train/act_so101/checkpoints/080000/pretrained_model/model.safetensors +3 -0
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- train/act_so101/checkpoints/080000/training_state/optimizer_param_groups.json +191 -0
- train/act_so101/checkpoints/080000/training_state/optimizer_state.safetensors +3 -0
- train/act_so101/checkpoints/080000/training_state/rng_state.safetensors +0 -0
- train/act_so101/checkpoints/080000/training_state/training_step.json +3 -0
- train/act_so101/wandb/debug-internal.log +7 -0
- train/act_so101/wandb/debug.log +21 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/output.log +420 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/requirements.txt +131 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/wandb-metadata.json +52 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-core.log +6 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-internal.log +7 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug.log +21 -0
- train/act_so101/wandb/run-20250621_230407-ky55y5eb/run-ky55y5eb.wandb +3 -0
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/run-ky55y5eb.wandb filter=lfs diff=lfs merge=lfs -text
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| 158 |
+
"batch_size": 50,
|
| 159 |
+
"use_async_envs": false
|
| 160 |
+
},
|
| 161 |
+
"wandb": {
|
| 162 |
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"enable": true,
|
| 163 |
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"disable_artifact": false,
|
| 164 |
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"project": "lerobot_act",
|
| 165 |
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|
| 166 |
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|
| 167 |
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"run_id": "ky55y5eb",
|
| 168 |
+
"mode": null
|
| 169 |
+
}
|
| 170 |
+
}
|
train/act_so101/checkpoints/080000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
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|
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|
train/act_so101/checkpoints/080000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 412817652
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train/act_so101/checkpoints/080000/training_state/rng_state.safetensors
ADDED
|
Binary file (15.7 kB). View file
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|
|
train/act_so101/checkpoints/080000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 80000
|
| 3 |
+
}
|
train/act_so101/wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
| 1 |
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{"time":"2025-06-21T23:04:07.668798754+02:00","level":"INFO","msg":"stream: starting","core version":"0.20.1","symlink path":"outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-core.log"}
|
| 2 |
+
{"time":"2025-06-21T23:04:07.849630442+02:00","level":"INFO","msg":"stream: created new stream","id":"ky55y5eb"}
|
| 3 |
+
{"time":"2025-06-21T23:04:07.849687945+02:00","level":"INFO","msg":"stream: started","id":"ky55y5eb"}
|
| 4 |
+
{"time":"2025-06-21T23:04:07.849704066+02:00","level":"INFO","msg":"handler: started","stream_id":"ky55y5eb"}
|
| 5 |
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{"time":"2025-06-21T23:04:07.849720757+02:00","level":"INFO","msg":"sender: started","stream_id":"ky55y5eb"}
|
| 6 |
+
{"time":"2025-06-21T23:04:07.849737998+02:00","level":"INFO","msg":"writer: Do: started","stream_id":"ky55y5eb"}
|
| 7 |
+
{"time":"2025-06-21T23:04:08.152804215+02:00","level":"INFO","msg":"Starting system monitor"}
|
train/act_so101/wandb/debug.log
ADDED
|
@@ -0,0 +1,21 @@
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|
|
|
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|
|
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|
| 1 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Current SDK version is 0.20.1
|
| 2 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Configure stats pid to 9356
|
| 3 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from /home/user/.config/wandb/settings
|
| 4 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from /home/user/app/lerobot/wandb/settings
|
| 5 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:setup_run_log_directory():703] Logging user logs to outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug.log
|
| 7 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-internal.log
|
| 8 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():831] calling init triggers
|
| 9 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():836] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': 'samuelcombey/so101_test', 'root': None, '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': 'act', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'chunk_size': 100, 'n_action_steps': 100, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1', 'replace_final_stride_with_dilation': False, 'pre_norm': False, 'dim_model': 512, 'n_heads': 8, 'dim_feedforward': 3200, 'feedforward_activation': 'relu', 'n_encoder_layers': 4, 'n_decoder_layers': 1, 'use_vae': True, 'latent_dim': 32, 'n_vae_encoder_layers': 4, 'temporal_ensemble_coeff': None, 'dropout': 0.1, 'kl_weight': 10.0, 'optimizer_lr': 1e-05, 'optimizer_weight_decay': 0.0001, 'optimizer_lr_backbone': 1e-05}, 'output_dir': 'outputs/train/act_so101', 'job_name': 'act_so101', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 2, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 1e-05, 'weight_decay': 0.0001, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': None, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot_act', 'entity': None, 'notes': None, 'run_id': None, 'mode': None}, '_wandb': {}}
|
| 11 |
+
2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():872] starting backend
|
| 12 |
+
2025-06-21 23:04:07,663 INFO MainThread:9356 [wandb_init.py:init():875] sending inform_init request
|
| 13 |
+
2025-06-21 23:04:07,667 INFO MainThread:9356 [wandb_init.py:init():883] backend started and connected
|
| 14 |
+
2025-06-21 23:04:07,668 INFO MainThread:9356 [wandb_init.py:init():956] updated telemetry
|
| 15 |
+
2025-06-21 23:04:07,675 INFO MainThread:9356 [wandb_init.py:init():980] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-06-21 23:04:08,150 INFO MainThread:9356 [wandb_init.py:init():1032] starting run threads in backend
|
| 17 |
+
2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_console_start():2453] atexit reg
|
| 18 |
+
2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2301] redirect: wrap_raw
|
| 19 |
+
2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2370] Wrapping output streams.
|
| 20 |
+
2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2393] Redirects installed.
|
| 21 |
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2025-06-21 23:04:08,254 INFO MainThread:9356 [wandb_init.py:init():1078] run started, returning control to user process
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/output.log
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| 1 |
+
[1m[34mLogs will be synced with wandb.[0m
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| 2 |
+
INFO 2025-06-21 23:04:08 db_utils.py:103 Track this run --> [1m[33mhttps://wandb.ai/scombey/lerobot_act/runs/ky55y5eb[0m
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| 3 |
+
INFO 2025-06-21 23:04:08 ts/train.py:127 Creating dataset
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| 4 |
+
Resolving data files: 100%|█████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 123725.78it/s]
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| 5 |
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INFO 2025-06-21 23:04:08 ts/train.py:138 Creating policy | 0/20 [00:00<?, ?it/s]
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| 6 |
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INFO 2025-06-21 23:04:09 ts/train.py:144 Creating optimizer and scheduler
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| 7 |
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INFO 2025-06-21 23:04:09 ts/train.py:156 [1m[33mOutput dir:[0m outputs/train/act_so101
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| 8 |
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INFO 2025-06-21 23:04:09 ts/train.py:159 cfg.steps=100000 (100K)
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| 9 |
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INFO 2025-06-21 23:04:09 ts/train.py:160 dataset.num_frames=10119 (10K)
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| 10 |
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INFO 2025-06-21 23:04:09 ts/train.py:161 dataset.num_episodes=20
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| 11 |
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INFO 2025-06-21 23:04:09 ts/train.py:162 num_learnable_params=51597190 (52M)
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| 12 |
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INFO 2025-06-21 23:04:09 ts/train.py:163 num_total_params=51597238 (52M)
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| 13 |
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INFO 2025-06-21 23:04:09 ts/train.py:202 Start offline training on a fixed dataset
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| 14 |
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INFO 2025-06-21 23:05:36 ts/train.py:232 step:200 smpl:400 ep:1 epch:0.04 loss:8.352 grdn:305.795 lr:1.0e-05 updt_s:0.428 data_s:0.005
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| 15 |
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INFO 2025-06-21 23:06:59 ts/train.py:232 step:400 smpl:800 ep:2 epch:0.08 loss:3.978 grdn:185.417 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 16 |
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INFO 2025-06-21 23:08:22 ts/train.py:232 step:600 smpl:1K ep:2 epch:0.12 loss:3.258 grdn:154.594 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 17 |
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INFO 2025-06-21 23:09:45 ts/train.py:232 step:800 smpl:2K ep:3 epch:0.16 loss:3.010 grdn:144.013 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 18 |
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INFO 2025-06-21 23:11:08 ts/train.py:232 step:1K smpl:2K ep:4 epch:0.20 loss:2.759 grdn:134.844 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 19 |
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INFO 2025-06-21 23:12:32 ts/train.py:232 step:1K smpl:2K ep:5 epch:0.24 loss:2.562 grdn:128.019 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 20 |
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INFO 2025-06-21 23:13:55 ts/train.py:232 step:1K smpl:3K ep:6 epch:0.28 loss:2.440 grdn:123.451 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 21 |
+
INFO 2025-06-21 23:15:18 ts/train.py:232 step:2K smpl:3K ep:6 epch:0.32 loss:2.330 grdn:119.866 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 22 |
+
INFO 2025-06-21 23:16:41 ts/train.py:232 step:2K smpl:4K ep:7 epch:0.36 loss:2.174 grdn:114.010 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 23 |
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INFO 2025-06-21 23:18:05 ts/train.py:232 step:2K smpl:4K ep:8 epch:0.40 loss:2.109 grdn:111.302 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 24 |
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INFO 2025-06-21 23:19:28 ts/train.py:232 step:2K smpl:4K ep:9 epch:0.43 loss:2.013 grdn:107.314 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 25 |
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INFO 2025-06-21 23:20:51 ts/train.py:232 step:2K smpl:5K ep:9 epch:0.47 loss:1.957 grdn:105.399 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 26 |
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INFO 2025-06-21 23:22:14 ts/train.py:232 step:3K smpl:5K ep:10 epch:0.51 loss:1.838 grdn:100.801 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 27 |
+
INFO 2025-06-21 23:23:37 ts/train.py:232 step:3K smpl:6K ep:11 epch:0.55 loss:1.773 grdn:98.422 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 28 |
+
INFO 2025-06-21 23:25:01 ts/train.py:232 step:3K smpl:6K ep:12 epch:0.59 loss:1.661 grdn:94.352 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 29 |
+
INFO 2025-06-21 23:26:24 ts/train.py:232 step:3K smpl:6K ep:13 epch:0.63 loss:1.616 grdn:91.459 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 30 |
+
INFO 2025-06-21 23:27:47 ts/train.py:232 step:3K smpl:7K ep:13 epch:0.67 loss:1.526 grdn:88.388 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 31 |
+
INFO 2025-06-21 23:29:10 ts/train.py:232 step:4K smpl:7K ep:14 epch:0.71 loss:1.442 grdn:87.059 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 32 |
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INFO 2025-06-21 23:30:34 ts/train.py:232 step:4K smpl:8K ep:15 epch:0.75 loss:1.360 grdn:83.491 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 33 |
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INFO 2025-06-21 23:31:57 ts/train.py:232 step:4K smpl:8K ep:16 epch:0.79 loss:1.299 grdn:81.541 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 34 |
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INFO 2025-06-21 23:33:20 ts/train.py:232 step:4K smpl:8K ep:17 epch:0.83 loss:1.213 grdn:79.023 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 35 |
+
INFO 2025-06-21 23:34:43 ts/train.py:232 step:4K smpl:9K ep:17 epch:0.87 loss:1.187 grdn:76.949 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 36 |
+
INFO 2025-06-21 23:36:06 ts/train.py:232 step:5K smpl:9K ep:18 epch:0.91 loss:1.140 grdn:74.782 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 37 |
+
INFO 2025-06-21 23:37:29 ts/train.py:232 step:5K smpl:10K ep:19 epch:0.95 loss:1.049 grdn:72.106 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 38 |
+
INFO 2025-06-21 23:38:53 ts/train.py:232 step:5K smpl:10K ep:20 epch:0.99 loss:0.999 grdn:69.712 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 39 |
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INFO 2025-06-21 23:40:18 ts/train.py:232 step:5K smpl:10K ep:21 epch:1.03 loss:0.948 grdn:67.497 lr:1.0e-05 updt_s:0.421 data_s:0.004
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| 40 |
+
INFO 2025-06-21 23:41:41 ts/train.py:232 step:5K smpl:11K ep:21 epch:1.07 loss:0.909 grdn:66.625 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 41 |
+
INFO 2025-06-21 23:43:04 ts/train.py:232 step:6K smpl:11K ep:22 epch:1.11 loss:0.888 grdn:65.375 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 42 |
+
INFO 2025-06-21 23:44:28 ts/train.py:232 step:6K smpl:12K ep:23 epch:1.15 loss:0.831 grdn:62.257 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 43 |
+
INFO 2025-06-21 23:45:51 ts/train.py:232 step:6K smpl:12K ep:24 epch:1.19 loss:0.813 grdn:62.123 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 44 |
+
INFO 2025-06-21 23:47:14 ts/train.py:232 step:6K smpl:12K ep:25 epch:1.23 loss:0.767 grdn:58.713 lr:1.0e-05 updt_s:0.414 data_s:0.000
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| 45 |
+
INFO 2025-06-21 23:48:37 ts/train.py:232 step:6K smpl:13K ep:25 epch:1.26 loss:0.724 grdn:56.602 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 46 |
+
INFO 2025-06-21 23:50:00 ts/train.py:232 step:7K smpl:13K ep:26 epch:1.30 loss:0.676 grdn:55.115 lr:1.0e-05 updt_s:0.414 data_s:0.000
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| 47 |
+
INFO 2025-06-21 23:51:23 ts/train.py:232 step:7K smpl:14K ep:27 epch:1.34 loss:0.666 grdn:55.021 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 48 |
+
INFO 2025-06-21 23:52:46 ts/train.py:232 step:7K smpl:14K ep:28 epch:1.38 loss:0.616 grdn:51.451 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 49 |
+
INFO 2025-06-21 23:54:09 ts/train.py:232 step:7K smpl:14K ep:28 epch:1.42 loss:0.620 grdn:51.586 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 50 |
+
INFO 2025-06-21 23:55:33 ts/train.py:232 step:7K smpl:15K ep:29 epch:1.46 loss:0.593 grdn:51.445 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 51 |
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INFO 2025-06-21 23:56:56 ts/train.py:232 step:8K smpl:15K ep:30 epch:1.50 loss:0.580 grdn:49.165 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 52 |
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INFO 2025-06-21 23:58:19 ts/train.py:232 step:8K smpl:16K ep:31 epch:1.54 loss:0.571 grdn:49.358 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 53 |
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INFO 2025-06-21 23:59:42 ts/train.py:232 step:8K smpl:16K ep:32 epch:1.58 loss:0.535 grdn:46.496 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 54 |
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INFO 2025-06-22 00:01:05 ts/train.py:232 step:8K smpl:16K ep:32 epch:1.62 loss:0.537 grdn:46.100 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 55 |
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INFO 2025-06-22 00:02:28 ts/train.py:232 step:8K smpl:17K ep:33 epch:1.66 loss:0.504 grdn:45.162 lr:1.0e-05 updt_s:0.414 data_s:0.000
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| 56 |
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INFO 2025-06-22 00:03:52 ts/train.py:232 step:9K smpl:17K ep:34 epch:1.70 loss:0.499 grdn:45.058 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 57 |
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INFO 2025-06-22 00:05:15 ts/train.py:232 step:9K smpl:18K ep:35 epch:1.74 loss:0.481 grdn:43.158 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 58 |
+
INFO 2025-06-22 00:06:38 ts/train.py:232 step:9K smpl:18K ep:36 epch:1.78 loss:0.461 grdn:42.280 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 59 |
+
INFO 2025-06-22 00:08:01 ts/train.py:232 step:9K smpl:18K ep:36 epch:1.82 loss:0.474 grdn:42.305 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 60 |
+
INFO 2025-06-22 00:09:24 ts/train.py:232 step:9K smpl:19K ep:37 epch:1.86 loss:0.434 grdn:40.947 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 61 |
+
INFO 2025-06-22 00:10:48 ts/train.py:232 step:10K smpl:19K ep:38 epch:1.90 loss:0.429 grdn:40.047 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 62 |
+
INFO 2025-06-22 00:12:11 ts/train.py:232 step:10K smpl:20K ep:39 epch:1.94 loss:0.430 grdn:39.675 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 63 |
+
INFO 2025-06-22 00:13:34 ts/train.py:232 step:10K smpl:20K ep:40 epch:1.98 loss:0.404 grdn:39.423 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 64 |
+
INFO 2025-06-22 00:14:58 ts/train.py:232 step:10K smpl:20K ep:40 epch:2.02 loss:0.406 grdn:37.525 lr:1.0e-05 updt_s:0.414 data_s:0.003
|
| 65 |
+
INFO 2025-06-22 00:16:21 ts/train.py:232 step:10K smpl:21K ep:41 epch:2.06 loss:0.389 grdn:37.659 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 66 |
+
INFO 2025-06-22 00:17:44 ts/train.py:232 step:11K smpl:21K ep:42 epch:2.10 loss:0.409 grdn:38.352 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 67 |
+
INFO 2025-06-22 00:19:07 ts/train.py:232 step:11K smpl:22K ep:43 epch:2.13 loss:0.399 grdn:37.755 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 68 |
+
INFO 2025-06-22 00:20:30 ts/train.py:232 step:11K smpl:22K ep:43 epch:2.17 loss:0.367 grdn:36.416 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 69 |
+
INFO 2025-06-22 00:21:53 ts/train.py:232 step:11K smpl:22K ep:44 epch:2.21 loss:0.366 grdn:36.347 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 70 |
+
INFO 2025-06-22 00:23:17 ts/train.py:232 step:11K smpl:23K ep:45 epch:2.25 loss:0.365 grdn:36.041 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 71 |
+
INFO 2025-06-22 00:24:40 ts/train.py:232 step:12K smpl:23K ep:46 epch:2.29 loss:0.361 grdn:35.591 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 72 |
+
INFO 2025-06-22 00:26:03 ts/train.py:232 step:12K smpl:24K ep:47 epch:2.33 loss:0.336 grdn:33.659 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 73 |
+
INFO 2025-06-22 00:27:26 ts/train.py:232 step:12K smpl:24K ep:47 epch:2.37 loss:0.365 grdn:34.441 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 74 |
+
INFO 2025-06-22 00:28:49 ts/train.py:232 step:12K smpl:24K ep:48 epch:2.41 loss:0.342 grdn:33.716 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 75 |
+
INFO 2025-06-22 00:30:13 ts/train.py:232 step:12K smpl:25K ep:49 epch:2.45 loss:0.335 grdn:33.047 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 76 |
+
INFO 2025-06-22 00:31:36 ts/train.py:232 step:13K smpl:25K ep:50 epch:2.49 loss:0.338 grdn:33.077 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 77 |
+
INFO 2025-06-22 00:32:59 ts/train.py:232 step:13K smpl:26K ep:51 epch:2.53 loss:0.315 grdn:31.915 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 78 |
+
INFO 2025-06-22 00:34:22 ts/train.py:232 step:13K smpl:26K ep:51 epch:2.57 loss:0.346 grdn:33.208 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 79 |
+
INFO 2025-06-22 00:35:45 ts/train.py:232 step:13K smpl:26K ep:52 epch:2.61 loss:0.323 grdn:32.106 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 80 |
+
INFO 2025-06-22 00:37:08 ts/train.py:232 step:13K smpl:27K ep:53 epch:2.65 loss:0.321 grdn:31.871 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 81 |
+
INFO 2025-06-22 00:38:32 ts/train.py:232 step:14K smpl:27K ep:54 epch:2.69 loss:0.313 grdn:32.096 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 82 |
+
INFO 2025-06-22 00:39:55 ts/train.py:232 step:14K smpl:28K ep:55 epch:2.73 loss:0.315 grdn:30.999 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 83 |
+
INFO 2025-06-22 00:41:18 ts/train.py:232 step:14K smpl:28K ep:55 epch:2.77 loss:0.315 grdn:29.862 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 84 |
+
INFO 2025-06-22 00:42:41 ts/train.py:232 step:14K smpl:28K ep:56 epch:2.81 loss:0.298 grdn:30.998 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 85 |
+
INFO 2025-06-22 00:44:04 ts/train.py:232 step:14K smpl:29K ep:57 epch:2.85 loss:0.306 grdn:29.553 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 86 |
+
INFO 2025-06-22 00:45:27 ts/train.py:232 step:15K smpl:29K ep:58 epch:2.89 loss:0.296 grdn:29.679 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 87 |
+
INFO 2025-06-22 00:46:51 ts/train.py:232 step:15K smpl:30K ep:59 epch:2.93 loss:0.305 grdn:29.732 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 88 |
+
INFO 2025-06-22 00:48:14 ts/train.py:232 step:15K smpl:30K ep:59 epch:2.96 loss:0.297 grdn:29.950 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 89 |
+
INFO 2025-06-22 00:49:38 ts/train.py:232 step:15K smpl:30K ep:60 epch:3.00 loss:0.291 grdn:29.461 lr:1.0e-05 updt_s:0.414 data_s:0.004
|
| 90 |
+
INFO 2025-06-22 00:51:01 ts/train.py:232 step:15K smpl:31K ep:61 epch:3.04 loss:0.293 grdn:29.187 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 91 |
+
INFO 2025-06-22 00:52:24 ts/train.py:232 step:16K smpl:31K ep:62 epch:3.08 loss:0.286 grdn:28.712 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 92 |
+
INFO 2025-06-22 00:53:47 ts/train.py:232 step:16K smpl:32K ep:62 epch:3.12 loss:0.293 grdn:28.576 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 93 |
+
INFO 2025-06-22 00:55:11 ts/train.py:232 step:16K smpl:32K ep:63 epch:3.16 loss:0.276 grdn:28.123 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 94 |
+
INFO 2025-06-22 00:56:34 ts/train.py:232 step:16K smpl:32K ep:64 epch:3.20 loss:0.257 grdn:27.564 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 95 |
+
INFO 2025-06-22 00:57:57 ts/train.py:232 step:16K smpl:33K ep:65 epch:3.24 loss:0.271 grdn:27.639 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 96 |
+
INFO 2025-06-22 00:59:20 ts/train.py:232 step:17K smpl:33K ep:66 epch:3.28 loss:0.255 grdn:26.147 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 97 |
+
INFO 2025-06-22 01:00:43 ts/train.py:232 step:17K smpl:34K ep:66 epch:3.32 loss:0.258 grdn:27.754 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 98 |
+
INFO 2025-06-22 01:02:06 ts/train.py:232 step:17K smpl:34K ep:67 epch:3.36 loss:0.274 grdn:27.854 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 99 |
+
INFO 2025-06-22 01:03:30 ts/train.py:232 step:17K smpl:34K ep:68 epch:3.40 loss:0.276 grdn:27.581 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 100 |
+
INFO 2025-06-22 01:04:53 ts/train.py:232 step:17K smpl:35K ep:69 epch:3.44 loss:0.272 grdn:27.482 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 101 |
+
INFO 2025-06-22 01:06:16 ts/train.py:232 step:18K smpl:35K ep:70 epch:3.48 loss:0.271 grdn:26.864 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 102 |
+
INFO 2025-06-22 01:07:39 ts/train.py:232 step:18K smpl:36K ep:70 epch:3.52 loss:0.246 grdn:26.571 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 103 |
+
INFO 2025-06-22 01:09:02 ts/train.py:232 step:18K smpl:36K ep:71 epch:3.56 loss:0.262 grdn:26.705 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 104 |
+
INFO 2025-06-22 01:10:26 ts/train.py:232 step:18K smpl:36K ep:72 epch:3.60 loss:0.271 grdn:26.068 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 105 |
+
INFO 2025-06-22 01:11:49 ts/train.py:232 step:18K smpl:37K ep:73 epch:3.64 loss:0.261 grdn:27.007 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 106 |
+
INFO 2025-06-22 01:13:12 ts/train.py:232 step:19K smpl:37K ep:74 epch:3.68 loss:0.254 grdn:26.232 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 107 |
+
INFO 2025-06-22 01:14:35 ts/train.py:232 step:19K smpl:38K ep:74 epch:3.72 loss:0.248 grdn:25.167 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 108 |
+
INFO 2025-06-22 01:15:58 ts/train.py:232 step:19K smpl:38K ep:75 epch:3.76 loss:0.256 grdn:26.188 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 109 |
+
INFO 2025-06-22 01:17:21 ts/train.py:232 step:19K smpl:38K ep:76 epch:3.79 loss:0.282 grdn:26.886 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 110 |
+
INFO 2025-06-22 01:18:45 ts/train.py:232 step:19K smpl:39K ep:77 epch:3.83 loss:0.250 grdn:25.719 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 111 |
+
INFO 2025-06-22 01:20:08 ts/train.py:232 step:20K smpl:39K ep:77 epch:3.87 loss:0.246 grdn:25.026 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 112 |
+
INFO 2025-06-22 01:21:31 ts/train.py:232 step:20K smpl:40K ep:78 epch:3.91 loss:0.239 grdn:24.427 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 113 |
+
INFO 2025-06-22 01:22:54 ts/train.py:232 step:20K smpl:40K ep:79 epch:3.95 loss:0.251 grdn:25.346 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 114 |
+
INFO 2025-06-22 01:22:54 ts/train.py:241 Checkpoint policy after step 20000
|
| 115 |
+
INFO 2025-06-22 01:24:19 ts/train.py:232 step:20K smpl:40K ep:80 epch:3.99 loss:0.255 grdn:25.729 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 116 |
+
INFO 2025-06-22 01:25:42 ts/train.py:232 step:20K smpl:41K ep:81 epch:4.03 loss:0.242 grdn:24.693 lr:1.0e-05 updt_s:0.414 data_s:0.004
|
| 117 |
+
INFO 2025-06-22 01:27:06 ts/train.py:232 step:21K smpl:41K ep:81 epch:4.07 loss:0.236 grdn:24.183 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 118 |
+
INFO 2025-06-22 01:28:29 ts/train.py:232 step:21K smpl:42K ep:82 epch:4.11 loss:0.228 grdn:23.368 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 119 |
+
INFO 2025-06-22 01:29:52 ts/train.py:232 step:21K smpl:42K ep:83 epch:4.15 loss:0.246 grdn:24.707 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 120 |
+
INFO 2025-06-22 01:31:15 ts/train.py:232 step:21K smpl:42K ep:84 epch:4.19 loss:0.239 grdn:23.417 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 121 |
+
INFO 2025-06-22 01:32:39 ts/train.py:232 step:21K smpl:43K ep:85 epch:4.23 loss:0.223 grdn:23.567 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 122 |
+
INFO 2025-06-22 01:34:02 ts/train.py:232 step:22K smpl:43K ep:85 epch:4.27 loss:0.246 grdn:24.472 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 123 |
+
INFO 2025-06-22 01:35:25 ts/train.py:232 step:22K smpl:44K ep:86 epch:4.31 loss:0.237 grdn:24.469 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 124 |
+
INFO 2025-06-22 01:36:48 ts/train.py:232 step:22K smpl:44K ep:87 epch:4.35 loss:0.228 grdn:23.478 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 125 |
+
INFO 2025-06-22 01:38:12 ts/train.py:232 step:22K smpl:44K ep:88 epch:4.39 loss:0.226 grdn:23.747 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 126 |
+
INFO 2025-06-22 01:39:35 ts/train.py:232 step:22K smpl:45K ep:89 epch:4.43 loss:0.221 grdn:23.383 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 127 |
+
INFO 2025-06-22 01:40:58 ts/train.py:232 step:23K smpl:45K ep:89 epch:4.47 loss:0.230 grdn:23.291 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 128 |
+
INFO 2025-06-22 01:42:21 ts/train.py:232 step:23K smpl:46K ep:90 epch:4.51 loss:0.230 grdn:23.106 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 129 |
+
INFO 2025-06-22 01:43:45 ts/train.py:232 step:23K smpl:46K ep:91 epch:4.55 loss:0.247 grdn:24.568 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 130 |
+
INFO 2025-06-22 01:45:08 ts/train.py:232 step:23K smpl:46K ep:92 epch:4.59 loss:0.214 grdn:22.967 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 131 |
+
INFO 2025-06-22 01:46:31 ts/train.py:232 step:23K smpl:47K ep:92 epch:4.62 loss:0.233 grdn:22.041 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 132 |
+
INFO 2025-06-22 01:47:54 ts/train.py:232 step:24K smpl:47K ep:93 epch:4.66 loss:0.203 grdn:21.834 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 133 |
+
INFO 2025-06-22 01:49:18 ts/train.py:232 step:24K smpl:48K ep:94 epch:4.70 loss:0.220 grdn:21.561 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 134 |
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INFO 2025-06-22 01:50:41 ts/train.py:232 step:24K smpl:48K ep:95 epch:4.74 loss:0.215 grdn:21.951 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 135 |
+
INFO 2025-06-22 01:52:04 ts/train.py:232 step:24K smpl:48K ep:96 epch:4.78 loss:0.208 grdn:21.325 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 136 |
+
INFO 2025-06-22 01:53:27 ts/train.py:232 step:24K smpl:49K ep:96 epch:4.82 loss:0.214 grdn:22.008 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 137 |
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INFO 2025-06-22 01:54:50 ts/train.py:232 step:25K smpl:49K ep:97 epch:4.86 loss:0.217 grdn:21.842 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 138 |
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INFO 2025-06-22 01:56:14 ts/train.py:232 step:25K smpl:50K ep:98 epch:4.90 loss:0.203 grdn:21.231 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 139 |
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INFO 2025-06-22 01:57:37 ts/train.py:232 step:25K smpl:50K ep:99 epch:4.94 loss:0.216 grdn:21.158 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 140 |
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INFO 2025-06-22 01:59:00 ts/train.py:232 step:25K smpl:50K ep:100 epch:4.98 loss:0.214 grdn:22.457 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 141 |
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INFO 2025-06-22 02:00:24 ts/train.py:232 step:25K smpl:51K ep:100 epch:5.02 loss:0.229 grdn:21.715 lr:1.0e-05 updt_s:0.414 data_s:0.004
|
| 142 |
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INFO 2025-06-22 02:01:47 ts/train.py:232 step:26K smpl:51K ep:101 epch:5.06 loss:0.210 grdn:20.999 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 143 |
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INFO 2025-06-22 02:03:11 ts/train.py:232 step:26K smpl:52K ep:102 epch:5.10 loss:0.214 grdn:21.071 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 144 |
+
INFO 2025-06-22 02:04:34 ts/train.py:232 step:26K smpl:52K ep:103 epch:5.14 loss:0.213 grdn:21.167 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 145 |
+
INFO 2025-06-22 02:05:57 ts/train.py:232 step:26K smpl:52K ep:104 epch:5.18 loss:0.213 grdn:21.615 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 146 |
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INFO 2025-06-22 02:07:20 ts/train.py:232 step:26K smpl:53K ep:104 epch:5.22 loss:0.207 grdn:21.296 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 147 |
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INFO 2025-06-22 02:08:44 ts/train.py:232 step:27K smpl:53K ep:105 epch:5.26 loss:0.211 grdn:21.047 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 148 |
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INFO 2025-06-22 02:10:07 ts/train.py:232 step:27K smpl:54K ep:106 epch:5.30 loss:0.195 grdn:21.012 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 149 |
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INFO 2025-06-22 02:11:30 ts/train.py:232 step:27K smpl:54K ep:107 epch:5.34 loss:0.201 grdn:21.132 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 150 |
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INFO 2025-06-22 02:12:53 ts/train.py:232 step:27K smpl:54K ep:108 epch:5.38 loss:0.205 grdn:20.279 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 151 |
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INFO 2025-06-22 02:14:16 ts/train.py:232 step:27K smpl:55K ep:108 epch:5.42 loss:0.196 grdn:20.461 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 152 |
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INFO 2025-06-22 02:15:40 ts/train.py:232 step:28K smpl:55K ep:109 epch:5.46 loss:0.190 grdn:20.122 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:17:03 ts/train.py:232 step:28K smpl:56K ep:110 epch:5.49 loss:0.197 grdn:19.866 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:18:26 ts/train.py:232 step:28K smpl:56K ep:111 epch:5.53 loss:0.203 grdn:20.374 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:19:49 ts/train.py:232 step:28K smpl:56K ep:111 epch:5.57 loss:0.202 grdn:21.787 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:21:12 ts/train.py:232 step:28K smpl:57K ep:112 epch:5.61 loss:0.203 grdn:20.404 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:22:36 ts/train.py:232 step:29K smpl:57K ep:113 epch:5.65 loss:0.201 grdn:19.577 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:23:59 ts/train.py:232 step:29K smpl:58K ep:114 epch:5.69 loss:0.204 grdn:20.661 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:25:22 ts/train.py:232 step:29K smpl:58K ep:115 epch:5.73 loss:0.199 grdn:19.428 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:26:45 ts/train.py:232 step:29K smpl:58K ep:115 epch:5.77 loss:0.196 grdn:20.036 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:28:09 ts/train.py:232 step:29K smpl:59K ep:116 epch:5.81 loss:0.191 grdn:20.345 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:29:32 ts/train.py:232 step:30K smpl:59K ep:117 epch:5.85 loss:0.199 grdn:19.963 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:30:55 ts/train.py:232 step:30K smpl:60K ep:118 epch:5.89 loss:0.204 grdn:20.834 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:32:18 ts/train.py:232 step:30K smpl:60K ep:119 epch:5.93 loss:0.190 grdn:19.138 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:33:42 ts/train.py:232 step:30K smpl:60K ep:119 epch:5.97 loss:0.193 grdn:19.549 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:35:05 ts/train.py:232 step:30K smpl:61K ep:120 epch:6.01 loss:0.195 grdn:19.190 lr:1.0e-05 updt_s:0.414 data_s:0.004
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INFO 2025-06-22 02:36:29 ts/train.py:232 step:31K smpl:61K ep:121 epch:6.05 loss:0.201 grdn:19.439 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:37:52 ts/train.py:232 step:31K smpl:62K ep:122 epch:6.09 loss:0.191 grdn:19.342 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:39:15 ts/train.py:232 step:31K smpl:62K ep:123 epch:6.13 loss:0.195 grdn:19.588 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:40:38 ts/train.py:232 step:31K smpl:62K ep:123 epch:6.17 loss:0.193 grdn:18.715 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:42:02 ts/train.py:232 step:31K smpl:63K ep:124 epch:6.21 loss:0.184 grdn:18.532 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:43:25 ts/train.py:232 step:32K smpl:63K ep:125 epch:6.25 loss:0.190 grdn:19.900 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:44:48 ts/train.py:232 step:32K smpl:64K ep:126 epch:6.29 loss:0.181 grdn:18.340 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:46:11 ts/train.py:232 step:32K smpl:64K ep:126 epch:6.32 loss:0.184 grdn:18.675 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 02:47:34 ts/train.py:232 step:32K smpl:64K ep:127 epch:6.36 loss:0.189 grdn:18.831 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:48:58 ts/train.py:232 step:32K smpl:65K ep:128 epch:6.40 loss:0.180 grdn:18.645 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:50:21 ts/train.py:232 step:33K smpl:65K ep:129 epch:6.44 loss:0.189 grdn:18.560 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:51:44 ts/train.py:232 step:33K smpl:66K ep:130 epch:6.48 loss:0.194 grdn:18.949 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:53:07 ts/train.py:232 step:33K smpl:66K ep:130 epch:6.52 loss:0.192 grdn:19.071 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:54:31 ts/train.py:232 step:33K smpl:66K ep:131 epch:6.56 loss:0.180 grdn:18.023 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:55:54 ts/train.py:232 step:33K smpl:67K ep:132 epch:6.60 loss:0.166 grdn:18.007 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:57:17 ts/train.py:232 step:34K smpl:67K ep:133 epch:6.64 loss:0.171 grdn:18.420 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 02:58:40 ts/train.py:232 step:34K smpl:68K ep:134 epch:6.68 loss:0.181 grdn:18.422 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:00:03 ts/train.py:232 step:34K smpl:68K ep:134 epch:6.72 loss:0.189 grdn:17.748 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:01:27 ts/train.py:232 step:34K smpl:68K ep:135 epch:6.76 loss:0.183 grdn:18.112 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:02:50 ts/train.py:232 step:34K smpl:69K ep:136 epch:6.80 loss:0.173 grdn:17.519 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:04:13 ts/train.py:232 step:35K smpl:69K ep:137 epch:6.84 loss:0.174 grdn:17.209 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:05:36 ts/train.py:232 step:35K smpl:70K ep:138 epch:6.88 loss:0.162 grdn:17.117 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:06:59 ts/train.py:232 step:35K smpl:70K ep:138 epch:6.92 loss:0.172 grdn:17.409 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:08:22 ts/train.py:232 step:35K smpl:70K ep:139 epch:6.96 loss:0.181 grdn:16.900 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:09:46 ts/train.py:232 step:35K smpl:71K ep:140 epch:7.00 loss:0.181 grdn:18.004 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:11:10 ts/train.py:232 step:36K smpl:71K ep:141 epch:7.04 loss:0.177 grdn:17.410 lr:1.0e-05 updt_s:0.414 data_s:0.004
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INFO 2025-06-22 03:12:33 ts/train.py:232 step:36K smpl:72K ep:142 epch:7.08 loss:0.171 grdn:17.942 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:13:56 ts/train.py:232 step:36K smpl:72K ep:142 epch:7.12 loss:0.174 grdn:16.904 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:15:19 ts/train.py:232 step:36K smpl:72K ep:143 epch:7.15 loss:0.170 grdn:16.763 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:16:42 ts/train.py:232 step:36K smpl:73K ep:144 epch:7.19 loss:0.168 grdn:16.916 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 03:18:06 ts/train.py:232 step:37K smpl:73K ep:145 epch:7.23 loss:0.164 grdn:17.280 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:19:29 ts/train.py:232 step:37K smpl:74K ep:145 epch:7.27 loss:0.167 grdn:16.103 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:20:52 ts/train.py:232 step:37K smpl:74K ep:146 epch:7.31 loss:0.169 grdn:17.131 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:22:15 ts/train.py:232 step:37K smpl:74K ep:147 epch:7.35 loss:0.172 grdn:17.814 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:23:38 ts/train.py:232 step:37K smpl:75K ep:148 epch:7.39 loss:0.162 grdn:16.442 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:25:02 ts/train.py:232 step:38K smpl:75K ep:149 epch:7.43 loss:0.182 grdn:17.057 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:26:25 ts/train.py:232 step:38K smpl:76K ep:149 epch:7.47 loss:0.177 grdn:17.252 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:27:48 ts/train.py:232 step:38K smpl:76K ep:150 epch:7.51 loss:0.172 grdn:17.051 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 03:29:11 ts/train.py:232 step:38K smpl:76K ep:151 epch:7.55 loss:0.161 grdn:16.386 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:30:34 ts/train.py:232 step:38K smpl:77K ep:152 epch:7.59 loss:0.169 grdn:16.734 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:31:57 ts/train.py:232 step:39K smpl:77K ep:153 epch:7.63 loss:0.169 grdn:16.988 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:33:21 ts/train.py:232 step:39K smpl:78K ep:153 epch:7.67 loss:0.158 grdn:16.067 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:34:44 ts/train.py:232 step:39K smpl:78K ep:154 epch:7.71 loss:0.160 grdn:16.656 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:36:07 ts/train.py:232 step:39K smpl:78K ep:155 epch:7.75 loss:0.170 grdn:16.832 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:37:30 ts/train.py:232 step:39K smpl:79K ep:156 epch:7.79 loss:0.164 grdn:17.370 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:38:53 ts/train.py:232 step:40K smpl:79K ep:157 epch:7.83 loss:0.167 grdn:16.388 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:40:17 ts/train.py:232 step:40K smpl:80K ep:157 epch:7.87 loss:0.161 grdn:16.418 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:41:40 ts/train.py:232 step:40K smpl:80K ep:158 epch:7.91 loss:0.160 grdn:16.296 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:41:40 ts/train.py:241 Checkpoint policy after step 40000
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INFO 2025-06-22 03:43:04 ts/train.py:232 step:40K smpl:80K ep:159 epch:7.95 loss:0.165 grdn:16.137 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:44:27 ts/train.py:232 step:40K smpl:81K ep:160 epch:7.98 loss:0.166 grdn:16.765 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 03:45:51 ts/train.py:232 step:41K smpl:81K ep:160 epch:8.02 loss:0.176 grdn:16.501 lr:1.0e-05 updt_s:0.414 data_s:0.004
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INFO 2025-06-22 03:47:14 ts/train.py:232 step:41K smpl:82K ep:161 epch:8.06 loss:0.159 grdn:15.750 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:48:37 ts/train.py:232 step:41K smpl:82K ep:162 epch:8.10 loss:0.164 grdn:16.240 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:50:01 ts/train.py:232 step:41K smpl:82K ep:163 epch:8.14 loss:0.154 grdn:15.608 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:51:24 ts/train.py:232 step:41K smpl:83K ep:164 epch:8.18 loss:0.152 grdn:15.219 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:52:47 ts/train.py:232 step:42K smpl:83K ep:164 epch:8.22 loss:0.142 grdn:15.385 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:54:10 ts/train.py:232 step:42K smpl:84K ep:165 epch:8.26 loss:0.154 grdn:15.062 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:55:33 ts/train.py:232 step:42K smpl:84K ep:166 epch:8.30 loss:0.161 grdn:16.983 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:56:57 ts/train.py:232 step:42K smpl:84K ep:167 epch:8.34 loss:0.156 grdn:15.501 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:58:20 ts/train.py:232 step:42K smpl:85K ep:168 epch:8.38 loss:0.163 grdn:15.888 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 03:59:43 ts/train.py:232 step:43K smpl:85K ep:168 epch:8.42 loss:0.163 grdn:16.360 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:01:06 ts/train.py:232 step:43K smpl:86K ep:169 epch:8.46 loss:0.139 grdn:15.164 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:02:29 ts/train.py:232 step:43K smpl:86K ep:170 epch:8.50 loss:0.154 grdn:15.205 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 04:03:53 ts/train.py:232 step:43K smpl:86K ep:171 epch:8.54 loss:0.161 grdn:15.444 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:05:16 ts/train.py:232 step:43K smpl:87K ep:172 epch:8.58 loss:0.155 grdn:15.332 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:06:39 ts/train.py:232 step:44K smpl:87K ep:172 epch:8.62 loss:0.156 grdn:15.358 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:08:02 ts/train.py:232 step:44K smpl:88K ep:173 epch:8.66 loss:0.165 grdn:15.446 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:09:25 ts/train.py:232 step:44K smpl:88K ep:174 epch:8.70 loss:0.147 grdn:15.618 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:10:49 ts/train.py:232 step:44K smpl:88K ep:175 epch:8.74 loss:0.156 grdn:15.404 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:12:12 ts/train.py:232 step:44K smpl:89K ep:176 epch:8.78 loss:0.164 grdn:15.759 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:13:35 ts/train.py:232 step:45K smpl:89K ep:176 epch:8.82 loss:0.156 grdn:15.484 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:14:58 ts/train.py:232 step:45K smpl:90K ep:177 epch:8.85 loss:0.160 grdn:15.083 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:16:21 ts/train.py:232 step:45K smpl:90K ep:178 epch:8.89 loss:0.166 grdn:14.965 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:17:45 ts/train.py:232 step:45K smpl:90K ep:179 epch:8.93 loss:0.148 grdn:14.803 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:19:08 ts/train.py:232 step:45K smpl:91K ep:179 epch:8.97 loss:0.159 grdn:15.231 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:20:32 ts/train.py:232 step:46K smpl:91K ep:180 epch:9.01 loss:0.153 grdn:14.616 lr:1.0e-05 updt_s:0.414 data_s:0.004
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INFO 2025-06-22 04:21:55 ts/train.py:232 step:46K smpl:92K ep:181 epch:9.05 loss:0.144 grdn:14.402 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:23:18 ts/train.py:232 step:46K smpl:92K ep:182 epch:9.09 loss:0.148 grdn:14.498 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 04:24:41 ts/train.py:232 step:46K smpl:92K ep:183 epch:9.13 loss:0.148 grdn:13.696 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:26:04 ts/train.py:232 step:46K smpl:93K ep:183 epch:9.17 loss:0.145 grdn:14.768 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:27:28 ts/train.py:232 step:47K smpl:93K ep:184 epch:9.21 loss:0.159 grdn:15.128 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:28:51 ts/train.py:232 step:47K smpl:94K ep:185 epch:9.25 loss:0.166 grdn:15.200 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:30:14 ts/train.py:232 step:47K smpl:94K ep:186 epch:9.29 loss:0.149 grdn:14.893 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:31:37 ts/train.py:232 step:47K smpl:94K ep:187 epch:9.33 loss:0.145 grdn:14.559 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:33:01 ts/train.py:232 step:47K smpl:95K ep:187 epch:9.37 loss:0.142 grdn:14.538 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:34:24 ts/train.py:232 step:48K smpl:95K ep:188 epch:9.41 loss:0.141 grdn:14.060 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:35:47 ts/train.py:232 step:48K smpl:96K ep:189 epch:9.45 loss:0.146 grdn:14.907 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:37:10 ts/train.py:232 step:48K smpl:96K ep:190 epch:9.49 loss:0.151 grdn:14.307 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:38:33 ts/train.py:232 step:48K smpl:96K ep:191 epch:9.53 loss:0.147 grdn:14.376 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:39:57 ts/train.py:232 step:48K smpl:97K ep:191 epch:9.57 loss:0.149 grdn:13.806 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 04:41:20 ts/train.py:232 step:49K smpl:97K ep:192 epch:9.61 loss:0.143 grdn:13.578 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:42:43 ts/train.py:232 step:49K smpl:98K ep:193 epch:9.65 loss:0.171 grdn:15.685 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:44:06 ts/train.py:232 step:49K smpl:98K ep:194 epch:9.68 loss:0.143 grdn:14.731 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:45:29 ts/train.py:232 step:49K smpl:98K ep:194 epch:9.72 loss:0.147 grdn:14.071 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:46:53 ts/train.py:232 step:49K smpl:99K ep:195 epch:9.76 loss:0.150 grdn:14.482 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:48:16 ts/train.py:232 step:50K smpl:99K ep:196 epch:9.80 loss:0.141 grdn:14.291 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:49:39 ts/train.py:232 step:50K smpl:100K ep:197 epch:9.84 loss:0.145 grdn:14.232 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:51:02 ts/train.py:232 step:50K smpl:100K ep:198 epch:9.88 loss:0.146 grdn:14.413 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:52:25 ts/train.py:232 step:50K smpl:100K ep:198 epch:9.92 loss:0.141 grdn:14.194 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:53:49 ts/train.py:232 step:50K smpl:101K ep:199 epch:9.96 loss:0.139 grdn:13.217 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:55:12 ts/train.py:232 step:51K smpl:101K ep:200 epch:10.00 loss:0.143 grdn:13.594 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 04:56:36 ts/train.py:232 step:51K smpl:102K ep:201 epch:10.04 loss:0.132 grdn:13.569 lr:1.0e-05 updt_s:0.415 data_s:0.004
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INFO 2025-06-22 04:57:59 ts/train.py:232 step:51K smpl:102K ep:202 epch:10.08 loss:0.137 grdn:14.382 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 04:59:22 ts/train.py:232 step:51K smpl:102K ep:202 epch:10.12 loss:0.141 grdn:13.336 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:00:45 ts/train.py:232 step:51K smpl:103K ep:203 epch:10.16 loss:0.139 grdn:14.506 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:02:08 ts/train.py:232 step:52K smpl:103K ep:204 epch:10.20 loss:0.146 grdn:13.806 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:03:32 ts/train.py:232 step:52K smpl:104K ep:205 epch:10.24 loss:0.143 grdn:14.126 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:04:55 ts/train.py:232 step:52K smpl:104K ep:206 epch:10.28 loss:0.136 grdn:13.738 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:06:18 ts/train.py:232 step:52K smpl:104K ep:206 epch:10.32 loss:0.160 grdn:13.902 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:07:41 ts/train.py:232 step:52K smpl:105K ep:207 epch:10.36 loss:0.130 grdn:13.339 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:09:05 ts/train.py:232 step:53K smpl:105K ep:208 epch:10.40 loss:0.131 grdn:13.737 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:10:28 ts/train.py:232 step:53K smpl:106K ep:209 epch:10.44 loss:0.146 grdn:13.461 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 05:11:51 ts/train.py:232 step:53K smpl:106K ep:210 epch:10.48 loss:0.137 grdn:14.615 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:13:14 ts/train.py:232 step:53K smpl:106K ep:210 epch:10.51 loss:0.133 grdn:13.795 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:14:37 ts/train.py:232 step:53K smpl:107K ep:211 epch:10.55 loss:0.135 grdn:13.600 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:16:00 ts/train.py:232 step:54K smpl:107K ep:212 epch:10.59 loss:0.148 grdn:13.435 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:17:24 ts/train.py:232 step:54K smpl:108K ep:213 epch:10.63 loss:0.142 grdn:13.060 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:18:47 ts/train.py:232 step:54K smpl:108K ep:213 epch:10.67 loss:0.145 grdn:14.113 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:20:10 ts/train.py:232 step:54K smpl:108K ep:214 epch:10.71 loss:0.152 grdn:13.730 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:21:33 ts/train.py:232 step:54K smpl:109K ep:215 epch:10.75 loss:0.120 grdn:13.180 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:22:56 ts/train.py:232 step:55K smpl:109K ep:216 epch:10.79 loss:0.136 grdn:13.742 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 05:24:19 ts/train.py:232 step:55K smpl:110K ep:217 epch:10.83 loss:0.144 grdn:12.822 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:25:43 ts/train.py:232 step:55K smpl:110K ep:217 epch:10.87 loss:0.139 grdn:13.800 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:27:06 ts/train.py:232 step:55K smpl:110K ep:218 epch:10.91 loss:0.126 grdn:12.621 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:28:29 ts/train.py:232 step:55K smpl:111K ep:219 epch:10.95 loss:0.132 grdn:13.050 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:29:52 ts/train.py:232 step:56K smpl:111K ep:220 epch:10.99 loss:0.146 grdn:13.162 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:31:16 ts/train.py:232 step:56K smpl:112K ep:221 epch:11.03 loss:0.124 grdn:12.777 lr:1.0e-05 updt_s:0.414 data_s:0.004
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INFO 2025-06-22 05:32:39 ts/train.py:232 step:56K smpl:112K ep:221 epch:11.07 loss:0.139 grdn:13.675 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:34:03 ts/train.py:232 step:56K smpl:112K ep:222 epch:11.11 loss:0.140 grdn:12.874 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:35:26 ts/train.py:232 step:56K smpl:113K ep:223 epch:11.15 loss:0.135 grdn:13.412 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:36:49 ts/train.py:232 step:57K smpl:113K ep:224 epch:11.19 loss:0.132 grdn:13.752 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:38:12 ts/train.py:232 step:57K smpl:114K ep:225 epch:11.23 loss:0.136 grdn:12.741 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:39:36 ts/train.py:232 step:57K smpl:114K ep:225 epch:11.27 loss:0.129 grdn:12.728 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:40:59 ts/train.py:232 step:57K smpl:114K ep:226 epch:11.31 loss:0.130 grdn:12.730 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:42:22 ts/train.py:232 step:57K smpl:115K ep:227 epch:11.34 loss:0.134 grdn:12.562 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:43:45 ts/train.py:232 step:58K smpl:115K ep:228 epch:11.38 loss:0.128 grdn:13.170 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 05:45:08 ts/train.py:232 step:58K smpl:116K ep:228 epch:11.42 loss:0.137 grdn:12.961 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:46:31 ts/train.py:232 step:58K smpl:116K ep:229 epch:11.46 loss:0.135 grdn:13.108 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:47:55 ts/train.py:232 step:58K smpl:116K ep:230 epch:11.50 loss:0.127 grdn:12.984 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:49:18 ts/train.py:232 step:58K smpl:117K ep:231 epch:11.54 loss:0.128 grdn:11.836 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:50:41 ts/train.py:232 step:59K smpl:117K ep:232 epch:11.58 loss:0.131 grdn:13.593 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:52:04 ts/train.py:232 step:59K smpl:118K ep:232 epch:11.62 loss:0.125 grdn:12.847 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:53:28 ts/train.py:232 step:59K smpl:118K ep:233 epch:11.66 loss:0.137 grdn:13.333 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:54:51 ts/train.py:232 step:59K smpl:118K ep:234 epch:11.70 loss:0.127 grdn:12.612 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:56:14 ts/train.py:232 step:59K smpl:119K ep:235 epch:11.74 loss:0.125 grdn:12.321 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:57:37 ts/train.py:232 step:60K smpl:119K ep:236 epch:11.78 loss:0.130 grdn:13.365 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 05:59:00 ts/train.py:232 step:60K smpl:120K ep:236 epch:11.82 loss:0.121 grdn:12.033 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:00:24 ts/train.py:232 step:60K smpl:120K ep:237 epch:11.86 loss:0.131 grdn:13.084 lr:1.0e-05 updt_s:0.416 data_s:0.000
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| 316 |
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INFO 2025-06-22 06:00:24 ts/train.py:241 Checkpoint policy after step 60000
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INFO 2025-06-22 06:01:49 ts/train.py:232 step:60K smpl:120K ep:238 epch:11.90 loss:0.122 grdn:12.644 lr:1.0e-05 updt_s:0.420 data_s:0.000
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INFO 2025-06-22 06:03:13 ts/train.py:232 step:60K smpl:121K ep:239 epch:11.94 loss:0.139 grdn:13.251 lr:1.0e-05 updt_s:0.416 data_s:0.000
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INFO 2025-06-22 06:04:36 ts/train.py:232 step:61K smpl:121K ep:240 epch:11.98 loss:0.147 grdn:12.603 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 320 |
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INFO 2025-06-22 06:06:00 ts/train.py:232 step:61K smpl:122K ep:240 epch:12.02 loss:0.127 grdn:12.745 lr:1.0e-05 updt_s:0.414 data_s:0.005
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INFO 2025-06-22 06:07:23 ts/train.py:232 step:61K smpl:122K ep:241 epch:12.06 loss:0.118 grdn:12.014 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:08:46 ts/train.py:232 step:61K smpl:122K ep:242 epch:12.10 loss:0.130 grdn:12.506 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:10:10 ts/train.py:232 step:61K smpl:123K ep:243 epch:12.14 loss:0.120 grdn:11.898 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:11:33 ts/train.py:232 step:62K smpl:123K ep:244 epch:12.18 loss:0.114 grdn:12.302 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:12:56 ts/train.py:232 step:62K smpl:124K ep:244 epch:12.21 loss:0.117 grdn:12.081 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:14:19 ts/train.py:232 step:62K smpl:124K ep:245 epch:12.25 loss:0.129 grdn:13.169 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:15:42 ts/train.py:232 step:62K smpl:124K ep:246 epch:12.29 loss:0.119 grdn:12.383 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 06:17:06 ts/train.py:232 step:62K smpl:125K ep:247 epch:12.33 loss:0.136 grdn:12.627 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:18:29 ts/train.py:232 step:63K smpl:125K ep:247 epch:12.37 loss:0.124 grdn:12.711 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:19:52 ts/train.py:232 step:63K smpl:126K ep:248 epch:12.41 loss:0.122 grdn:12.093 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:21:15 ts/train.py:232 step:63K smpl:126K ep:249 epch:12.45 loss:0.130 grdn:13.337 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:22:38 ts/train.py:232 step:63K smpl:126K ep:250 epch:12.49 loss:0.139 grdn:12.291 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:24:02 ts/train.py:232 step:63K smpl:127K ep:251 epch:12.53 loss:0.135 grdn:12.622 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:25:25 ts/train.py:232 step:64K smpl:127K ep:251 epch:12.57 loss:0.127 grdn:13.048 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:26:48 ts/train.py:232 step:64K smpl:128K ep:252 epch:12.61 loss:0.132 grdn:12.058 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:28:11 ts/train.py:232 step:64K smpl:128K ep:253 epch:12.65 loss:0.129 grdn:12.993 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:29:34 ts/train.py:232 step:64K smpl:128K ep:254 epch:12.69 loss:0.127 grdn:12.117 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:30:58 ts/train.py:232 step:64K smpl:129K ep:255 epch:12.73 loss:0.115 grdn:11.843 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:32:21 ts/train.py:232 step:65K smpl:129K ep:255 epch:12.77 loss:0.136 grdn:13.001 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:33:44 ts/train.py:232 step:65K smpl:130K ep:256 epch:12.81 loss:0.115 grdn:11.687 lr:1.0e-05 updt_s:0.414 data_s:0.000
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INFO 2025-06-22 06:35:07 ts/train.py:232 step:65K smpl:130K ep:257 epch:12.85 loss:0.121 grdn:11.707 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:36:30 ts/train.py:232 step:65K smpl:130K ep:258 epch:12.89 loss:0.129 grdn:12.167 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:37:53 ts/train.py:232 step:65K smpl:131K ep:259 epch:12.93 loss:0.115 grdn:11.230 lr:1.0e-05 updt_s:0.415 data_s:0.000
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INFO 2025-06-22 06:39:17 ts/train.py:232 step:66K smpl:131K ep:259 epch:12.97 loss:0.120 grdn:11.901 lr:1.0e-05 updt_s:0.415 data_s:0.000
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| 345 |
+
INFO 2025-06-22 06:40:41 ts/train.py:232 step:66K smpl:132K ep:260 epch:13.01 loss:0.117 grdn:12.227 lr:1.0e-05 updt_s:0.414 data_s:0.005
|
| 346 |
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INFO 2025-06-22 06:42:04 ts/train.py:232 step:66K smpl:132K ep:261 epch:13.04 loss:0.124 grdn:12.192 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 347 |
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INFO 2025-06-22 06:43:27 ts/train.py:232 step:66K smpl:132K ep:262 epch:13.08 loss:0.114 grdn:11.669 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 348 |
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INFO 2025-06-22 06:44:50 ts/train.py:232 step:66K smpl:133K ep:262 epch:13.12 loss:0.109 grdn:11.618 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 349 |
+
INFO 2025-06-22 06:46:13 ts/train.py:232 step:67K smpl:133K ep:263 epch:13.16 loss:0.124 grdn:11.726 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 350 |
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INFO 2025-06-22 06:47:37 ts/train.py:232 step:67K smpl:134K ep:264 epch:13.20 loss:0.132 grdn:11.454 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 351 |
+
INFO 2025-06-22 06:49:00 ts/train.py:232 step:67K smpl:134K ep:265 epch:13.24 loss:0.126 grdn:12.037 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 352 |
+
INFO 2025-06-22 06:50:23 ts/train.py:232 step:67K smpl:134K ep:266 epch:13.28 loss:0.118 grdn:11.737 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 353 |
+
INFO 2025-06-22 06:51:46 ts/train.py:232 step:67K smpl:135K ep:266 epch:13.32 loss:0.108 grdn:10.829 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 354 |
+
INFO 2025-06-22 06:53:09 ts/train.py:232 step:68K smpl:135K ep:267 epch:13.36 loss:0.123 grdn:12.821 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 355 |
+
INFO 2025-06-22 06:54:32 ts/train.py:232 step:68K smpl:136K ep:268 epch:13.40 loss:0.124 grdn:11.848 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 356 |
+
INFO 2025-06-22 06:55:56 ts/train.py:232 step:68K smpl:136K ep:269 epch:13.44 loss:0.123 grdn:12.280 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 357 |
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INFO 2025-06-22 06:57:19 ts/train.py:232 step:68K smpl:136K ep:270 epch:13.48 loss:0.113 grdn:11.533 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 358 |
+
INFO 2025-06-22 06:58:42 ts/train.py:232 step:68K smpl:137K ep:270 epch:13.52 loss:0.111 grdn:12.087 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 359 |
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INFO 2025-06-22 07:00:05 ts/train.py:232 step:69K smpl:137K ep:271 epch:13.56 loss:0.126 grdn:11.831 lr:1.0e-05 updt_s:0.416 data_s:0.000
|
| 360 |
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INFO 2025-06-22 07:01:28 ts/train.py:232 step:69K smpl:138K ep:272 epch:13.60 loss:0.116 grdn:11.573 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 361 |
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INFO 2025-06-22 07:02:52 ts/train.py:232 step:69K smpl:138K ep:273 epch:13.64 loss:0.120 grdn:11.969 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 362 |
+
INFO 2025-06-22 07:04:15 ts/train.py:232 step:69K smpl:138K ep:274 epch:13.68 loss:0.123 grdn:11.593 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 363 |
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INFO 2025-06-22 07:05:38 ts/train.py:232 step:69K smpl:139K ep:274 epch:13.72 loss:0.115 grdn:10.993 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 364 |
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INFO 2025-06-22 07:07:01 ts/train.py:232 step:70K smpl:139K ep:275 epch:13.76 loss:0.119 grdn:11.695 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 365 |
+
INFO 2025-06-22 07:08:25 ts/train.py:232 step:70K smpl:140K ep:276 epch:13.80 loss:0.114 grdn:12.029 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 366 |
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INFO 2025-06-22 07:09:48 ts/train.py:232 step:70K smpl:140K ep:277 epch:13.84 loss:0.109 grdn:11.109 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 367 |
+
INFO 2025-06-22 07:11:11 ts/train.py:232 step:70K smpl:140K ep:277 epch:13.87 loss:0.118 grdn:11.916 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 368 |
+
INFO 2025-06-22 07:12:34 ts/train.py:232 step:70K smpl:141K ep:278 epch:13.91 loss:0.114 grdn:11.194 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 369 |
+
INFO 2025-06-22 07:13:57 ts/train.py:232 step:71K smpl:141K ep:279 epch:13.95 loss:0.113 grdn:11.814 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 370 |
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INFO 2025-06-22 07:15:21 ts/train.py:232 step:71K smpl:142K ep:280 epch:13.99 loss:0.111 grdn:11.605 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 371 |
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INFO 2025-06-22 07:16:45 ts/train.py:232 step:71K smpl:142K ep:281 epch:14.03 loss:0.108 grdn:11.528 lr:1.0e-05 updt_s:0.414 data_s:0.004
|
| 372 |
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INFO 2025-06-22 07:18:08 ts/train.py:232 step:71K smpl:142K ep:281 epch:14.07 loss:0.115 grdn:10.899 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 373 |
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INFO 2025-06-22 07:19:31 ts/train.py:232 step:71K smpl:143K ep:282 epch:14.11 loss:0.111 grdn:11.487 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 374 |
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INFO 2025-06-22 07:20:54 ts/train.py:232 step:72K smpl:143K ep:283 epch:14.15 loss:0.118 grdn:10.932 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 375 |
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INFO 2025-06-22 07:22:17 ts/train.py:232 step:72K smpl:144K ep:284 epch:14.19 loss:0.117 grdn:12.260 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 376 |
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INFO 2025-06-22 07:23:41 ts/train.py:232 step:72K smpl:144K ep:285 epch:14.23 loss:0.102 grdn:11.159 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 377 |
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INFO 2025-06-22 07:25:04 ts/train.py:232 step:72K smpl:144K ep:285 epch:14.27 loss:0.116 grdn:11.086 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 378 |
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INFO 2025-06-22 07:26:27 ts/train.py:232 step:72K smpl:145K ep:286 epch:14.31 loss:0.100 grdn:10.989 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 379 |
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INFO 2025-06-22 07:27:50 ts/train.py:232 step:73K smpl:145K ep:287 epch:14.35 loss:0.110 grdn:10.657 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 380 |
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INFO 2025-06-22 07:29:13 ts/train.py:232 step:73K smpl:146K ep:288 epch:14.39 loss:0.109 grdn:11.211 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 381 |
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INFO 2025-06-22 07:30:37 ts/train.py:232 step:73K smpl:146K ep:289 epch:14.43 loss:0.114 grdn:11.562 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 382 |
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INFO 2025-06-22 07:32:00 ts/train.py:232 step:73K smpl:146K ep:289 epch:14.47 loss:0.125 grdn:11.646 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 383 |
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INFO 2025-06-22 07:33:23 ts/train.py:232 step:73K smpl:147K ep:290 epch:14.51 loss:0.108 grdn:10.764 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 384 |
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INFO 2025-06-22 07:34:46 ts/train.py:232 step:74K smpl:147K ep:291 epch:14.55 loss:0.109 grdn:11.698 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 385 |
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INFO 2025-06-22 07:36:09 ts/train.py:232 step:74K smpl:148K ep:292 epch:14.59 loss:0.110 grdn:11.182 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 386 |
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INFO 2025-06-22 07:37:33 ts/train.py:232 step:74K smpl:148K ep:293 epch:14.63 loss:0.107 grdn:11.030 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 387 |
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INFO 2025-06-22 07:38:56 ts/train.py:232 step:74K smpl:148K ep:293 epch:14.67 loss:0.102 grdn:10.891 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 388 |
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INFO 2025-06-22 07:40:19 ts/train.py:232 step:74K smpl:149K ep:294 epch:14.71 loss:0.110 grdn:10.899 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 389 |
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INFO 2025-06-22 07:41:42 ts/train.py:232 step:75K smpl:149K ep:295 epch:14.74 loss:0.104 grdn:11.381 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 390 |
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INFO 2025-06-22 07:43:06 ts/train.py:232 step:75K smpl:150K ep:296 epch:14.78 loss:0.117 grdn:11.927 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 391 |
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INFO 2025-06-22 07:44:29 ts/train.py:232 step:75K smpl:150K ep:296 epch:14.82 loss:0.118 grdn:10.857 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 392 |
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INFO 2025-06-22 07:45:52 ts/train.py:232 step:75K smpl:150K ep:297 epch:14.86 loss:0.112 grdn:11.590 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 393 |
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INFO 2025-06-22 07:47:15 ts/train.py:232 step:75K smpl:151K ep:298 epch:14.90 loss:0.107 grdn:10.728 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 394 |
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INFO 2025-06-22 07:48:38 ts/train.py:232 step:76K smpl:151K ep:299 epch:14.94 loss:0.105 grdn:10.668 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 395 |
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INFO 2025-06-22 07:50:02 ts/train.py:232 step:76K smpl:152K ep:300 epch:14.98 loss:0.113 grdn:11.159 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 396 |
+
INFO 2025-06-22 07:51:25 ts/train.py:232 step:76K smpl:152K ep:300 epch:15.02 loss:0.104 grdn:11.019 lr:1.0e-05 updt_s:0.414 data_s:0.004
|
| 397 |
+
INFO 2025-06-22 07:52:49 ts/train.py:232 step:76K smpl:152K ep:301 epch:15.06 loss:0.100 grdn:11.134 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 398 |
+
INFO 2025-06-22 07:54:12 ts/train.py:232 step:76K smpl:153K ep:302 epch:15.10 loss:0.107 grdn:11.245 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 399 |
+
INFO 2025-06-22 07:55:35 ts/train.py:232 step:77K smpl:153K ep:303 epch:15.14 loss:0.115 grdn:11.718 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 400 |
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INFO 2025-06-22 07:56:58 ts/train.py:232 step:77K smpl:154K ep:304 epch:15.18 loss:0.106 grdn:11.200 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 401 |
+
INFO 2025-06-22 07:58:21 ts/train.py:232 step:77K smpl:154K ep:304 epch:15.22 loss:0.103 grdn:11.224 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 402 |
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INFO 2025-06-22 07:59:44 ts/train.py:232 step:77K smpl:154K ep:305 epch:15.26 loss:0.115 grdn:11.173 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 403 |
+
INFO 2025-06-22 08:01:08 ts/train.py:232 step:77K smpl:155K ep:306 epch:15.30 loss:0.103 grdn:10.659 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 404 |
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INFO 2025-06-22 08:02:31 ts/train.py:232 step:78K smpl:155K ep:307 epch:15.34 loss:0.105 grdn:10.504 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 405 |
+
INFO 2025-06-22 08:03:54 ts/train.py:232 step:78K smpl:156K ep:308 epch:15.38 loss:0.104 grdn:10.677 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 406 |
+
INFO 2025-06-22 08:05:17 ts/train.py:232 step:78K smpl:156K ep:308 epch:15.42 loss:0.115 grdn:11.371 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 407 |
+
INFO 2025-06-22 08:06:40 ts/train.py:232 step:78K smpl:156K ep:309 epch:15.46 loss:0.095 grdn:10.751 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 408 |
+
INFO 2025-06-22 08:08:04 ts/train.py:232 step:78K smpl:157K ep:310 epch:15.50 loss:0.105 grdn:11.051 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 409 |
+
INFO 2025-06-22 08:09:27 ts/train.py:232 step:79K smpl:157K ep:311 epch:15.54 loss:0.117 grdn:11.658 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 410 |
+
INFO 2025-06-22 08:10:50 ts/train.py:232 step:79K smpl:158K ep:311 epch:15.57 loss:0.095 grdn:10.333 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 411 |
+
INFO 2025-06-22 08:12:13 ts/train.py:232 step:79K smpl:158K ep:312 epch:15.61 loss:0.103 grdn:10.414 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 412 |
+
INFO 2025-06-22 08:13:36 ts/train.py:232 step:79K smpl:158K ep:313 epch:15.65 loss:0.109 grdn:11.128 lr:1.0e-05 updt_s:0.414 data_s:0.000
|
| 413 |
+
INFO 2025-06-22 08:14:59 ts/train.py:232 step:79K smpl:159K ep:314 epch:15.69 loss:0.112 grdn:10.781 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 414 |
+
INFO 2025-06-22 08:16:23 ts/train.py:232 step:80K smpl:159K ep:315 epch:15.73 loss:0.100 grdn:10.580 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 415 |
+
INFO 2025-06-22 08:17:46 ts/train.py:232 step:80K smpl:160K ep:315 epch:15.77 loss:0.108 grdn:11.045 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 416 |
+
INFO 2025-06-22 08:19:09 ts/train.py:232 step:80K smpl:160K ep:316 epch:15.81 loss:0.105 grdn:10.630 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 417 |
+
INFO 2025-06-22 08:19:09 ts/train.py:241 Checkpoint policy after step 80000
|
| 418 |
+
INFO 2025-06-22 08:20:33 ts/train.py:232 step:80K smpl:160K ep:317 epch:15.85 loss:0.096 grdn:10.325 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 419 |
+
INFO 2025-06-22 08:21:57 ts/train.py:232 step:80K smpl:161K ep:318 epch:15.89 loss:0.097 grdn:10.182 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
| 420 |
+
INFO 2025-06-22 08:23:20 ts/train.py:232 step:81K smpl:161K ep:319 epch:15.93 loss:0.103 grdn:10.684 lr:1.0e-05 updt_s:0.415 data_s:0.000
|
train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/requirements.txt
ADDED
|
@@ -0,0 +1,131 @@
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| 1 |
+
setuptools==78.1.1
|
| 2 |
+
wheel==0.45.1
|
| 3 |
+
pip==25.1
|
| 4 |
+
wcwidth==0.2.13
|
| 5 |
+
pytz==2025.2
|
| 6 |
+
pyserial==3.5
|
| 7 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 8 |
+
mpmath==1.3.0
|
| 9 |
+
Farama-Notifications==0.0.4
|
| 10 |
+
asciitree==0.3.3
|
| 11 |
+
antlr4-python3-runtime==4.9.3
|
| 12 |
+
zipp==3.23.0
|
| 13 |
+
xxhash==3.5.0
|
| 14 |
+
urllib3==2.5.0
|
| 15 |
+
tzdata==2025.2
|
| 16 |
+
typing_extensions==4.14.0
|
| 17 |
+
triton==3.3.1
|
| 18 |
+
tqdm==4.67.1
|
| 19 |
+
torchcodec==0.4.0
|
| 20 |
+
toml==0.10.2
|
| 21 |
+
termcolor==3.1.0
|
| 22 |
+
sympy==1.14.0
|
| 23 |
+
soupsieve==2.7
|
| 24 |
+
smmap==5.0.2
|
| 25 |
+
six==1.17.0
|
| 26 |
+
setproctitle==1.3.6
|
| 27 |
+
safetensors==0.5.3
|
| 28 |
+
regex==2024.11.6
|
| 29 |
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pyzmq==27.0.0
|
| 30 |
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PyYAML==6.0.2
|
| 31 |
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PySocks==1.7.1
|
| 32 |
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pycparser==2.22
|
| 33 |
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pyarrow==20.0.0
|
| 34 |
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psutil==7.0.0
|
| 35 |
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protobuf==6.31.1
|
| 36 |
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propcache==0.3.2
|
| 37 |
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prompt_toolkit==3.0.51
|
| 38 |
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platformdirs==4.3.8
|
| 39 |
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pillow==11.2.1
|
| 40 |
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pfzy==0.3.4
|
| 41 |
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packaging==25.0
|
| 42 |
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orderly-set==5.4.1
|
| 43 |
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nvidia-nvtx-cu12==12.6.77
|
| 44 |
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nvidia-nvjitlink-cu12==12.6.85
|
| 45 |
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nvidia-nccl-cu12==2.26.2
|
| 46 |
+
nvidia-curand-cu12==10.3.7.77
|
| 47 |
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nvidia-cufile-cu12==1.11.1.6
|
| 48 |
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nvidia-cuda-runtime-cu12==12.6.77
|
| 49 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 50 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 51 |
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nvidia-cublas-cu12==12.6.4.1
|
| 52 |
+
numpy==2.2.6
|
| 53 |
+
networkx==3.4.2
|
| 54 |
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mypy_extensions==1.1.0
|
| 55 |
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mergedeep==1.3.4
|
| 56 |
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MarkupSafe==3.0.2
|
| 57 |
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llvmlite==0.44.0
|
| 58 |
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itsdangerous==2.2.0
|
| 59 |
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imageio-ffmpeg==0.6.0
|
| 60 |
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idna==3.10
|
| 61 |
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hf-xet==1.1.5
|
| 62 |
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hf_transfer==0.1.9
|
| 63 |
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fsspec==2025.3.0
|
| 64 |
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frozenlist==1.7.0
|
| 65 |
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filelock==3.18.0
|
| 66 |
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fasteners==0.19
|
| 67 |
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evdev==1.9.2
|
| 68 |
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einops==0.8.1
|
| 69 |
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dill==0.3.8
|
| 70 |
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cmake==4.0.3
|
| 71 |
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cloudpickle==3.1.1
|
| 72 |
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click==8.2.1
|
| 73 |
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charset-normalizer==3.4.2
|
| 74 |
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certifi==2025.6.15
|
| 75 |
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blinker==1.9.0
|
| 76 |
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av==14.4.0
|
| 77 |
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attrs==25.3.0
|
| 78 |
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async-timeout==5.0.1
|
| 79 |
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annotated-types==0.7.0
|
| 80 |
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aiohappyeyeballs==2.6.1
|
| 81 |
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Werkzeug==3.1.3
|
| 82 |
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typing-inspection==0.4.1
|
| 83 |
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typing-inspect==0.9.0
|
| 84 |
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sentry-sdk==2.30.0
|
| 85 |
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scipy==1.15.3
|
| 86 |
+
rerun-sdk==0.23.3
|
| 87 |
+
requests==2.32.4
|
| 88 |
+
pyyaml-include==1.4.1
|
| 89 |
+
python-xlib==0.33
|
| 90 |
+
python-dateutil==2.9.0.post0
|
| 91 |
+
pydantic_core==2.33.2
|
| 92 |
+
opencv-python-headless==4.11.0.86
|
| 93 |
+
omegaconf==2.3.0
|
| 94 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 95 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 96 |
+
nvidia-cudnn-cu12==9.5.1.17
|
| 97 |
+
numcodecs==0.13.1
|
| 98 |
+
numba==0.61.2
|
| 99 |
+
multiprocess==0.70.16
|
| 100 |
+
multidict==6.5.0
|
| 101 |
+
jsonlines==4.0.0
|
| 102 |
+
Jinja2==3.1.6
|
| 103 |
+
inquirerpy==0.3.4
|
| 104 |
+
importlib_metadata==8.7.0
|
| 105 |
+
imageio==2.37.0
|
| 106 |
+
h5py==3.14.0
|
| 107 |
+
gymnasium==0.29.1
|
| 108 |
+
gitdb==4.0.12
|
| 109 |
+
deepdiff==8.5.0
|
| 110 |
+
cffi==1.17.1
|
| 111 |
+
beautifulsoup4==4.13.4
|
| 112 |
+
aiosignal==1.3.2
|
| 113 |
+
zarr==2.18.3
|
| 114 |
+
yarl==1.20.1
|
| 115 |
+
pynput==1.8.1
|
| 116 |
+
pymunk==6.11.1
|
| 117 |
+
pydantic==2.11.7
|
| 118 |
+
pandas==2.3.0
|
| 119 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 120 |
+
huggingface-hub==0.33.0
|
| 121 |
+
GitPython==3.1.44
|
| 122 |
+
Flask==3.1.1
|
| 123 |
+
draccus==0.10.0
|
| 124 |
+
wandb==0.20.1
|
| 125 |
+
torch==2.7.1
|
| 126 |
+
gdown==5.2.0
|
| 127 |
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diffusers==0.33.1
|
| 128 |
+
aiohttp==3.12.13
|
| 129 |
+
torchvision==0.22.1
|
| 130 |
+
datasets==3.6.0
|
| 131 |
+
lerobot==0.1.0
|
train/act_so101/wandb/run-20250621_230407-ky55y5eb/files/wandb-metadata.json
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.1.134-152.225.amzn2023.x86_64-x86_64-with-glibc2.35",
|
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"python": "CPython 3.10.13",
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| 4 |
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"startedAt": "2025-06-21T21:04:07.667281Z",
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| 5 |
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"args": [
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| 6 |
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"--dataset.repo_id=samuelcombey/so101_test",
|
| 7 |
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"--policy.type=act",
|
| 8 |
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"--output_dir=outputs/train/act_so101",
|
| 9 |
+
"--job_name=act_so101",
|
| 10 |
+
"--policy.device=cuda",
|
| 11 |
+
"--batch_size=2",
|
| 12 |
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"--wandb.enable=true",
|
| 13 |
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"--wandb.project=lerobot_act"
|
| 14 |
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],
|
| 15 |
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"program": "/home/user/app/lerobot/lerobot/scripts/train.py",
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| 16 |
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"codePath": "lerobot/scripts/train.py",
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| 17 |
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| 18 |
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| 19 |
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"commit": "c940676bdda5ab92e3f9446a72fafca5c550b505"
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| 20 |
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},
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| 21 |
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"root": "outputs/train/act_so101",
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| 22 |
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"host": "r-samuelcombey-lerobot-69sca6a5-4fb95-qravr",
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| 23 |
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"executable": "/home/user/miniconda/envs/lerobot/bin/python",
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| 24 |
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"codePathLocal": "lerobot/scripts/train.py",
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{
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|
| 52 |
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-core.log
ADDED
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|
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{"time":"2025-06-21T23:04:07.483899871+02:00","level":"INFO","msg":"Will exit if parent process dies.","ppid":9356}
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{"time":"2025-06-21T23:04:07.483871499+02:00","level":"INFO","msg":"server is running","addr":{"IP":"127.0.0.1","Port":41827,"Zone":""}}
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{"time":"2025-06-21T23:04:07.663284739+02:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:49996"}
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{"time":"2025-06-21T23:04:07.668607253+02:00","level":"INFO","msg":"handleInformInit: received","streamId":"ky55y5eb","id":"127.0.0.1:49996"}
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-internal.log
ADDED
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@@ -0,0 +1,7 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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{"time":"2025-06-21T23:04:07.668798754+02:00","level":"INFO","msg":"stream: starting","core version":"0.20.1","symlink path":"outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-core.log"}
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| 2 |
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{"time":"2025-06-21T23:04:07.849630442+02:00","level":"INFO","msg":"stream: created new stream","id":"ky55y5eb"}
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| 3 |
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{"time":"2025-06-21T23:04:07.849687945+02:00","level":"INFO","msg":"stream: started","id":"ky55y5eb"}
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{"time":"2025-06-21T23:04:07.849704066+02:00","level":"INFO","msg":"handler: started","stream_id":"ky55y5eb"}
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug.log
ADDED
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@@ -0,0 +1,21 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Current SDK version is 0.20.1
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Configure stats pid to 9356
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from /home/user/.config/wandb/settings
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from /home/user/app/lerobot/wandb/settings
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:setup_run_log_directory():703] Logging user logs to outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug.log
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| 7 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to outputs/train/act_so101/wandb/run-20250621_230407-ky55y5eb/logs/debug-internal.log
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| 8 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():831] calling init triggers
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():836] wandb.init called with sweep_config: {}
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| 10 |
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config: {'dataset': {'repo_id': 'samuelcombey/so101_test', 'root': None, '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': 'act', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'chunk_size': 100, 'n_action_steps': 100, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1', 'replace_final_stride_with_dilation': False, 'pre_norm': False, 'dim_model': 512, 'n_heads': 8, 'dim_feedforward': 3200, 'feedforward_activation': 'relu', 'n_encoder_layers': 4, 'n_decoder_layers': 1, 'use_vae': True, 'latent_dim': 32, 'n_vae_encoder_layers': 4, 'temporal_ensemble_coeff': None, 'dropout': 0.1, 'kl_weight': 10.0, 'optimizer_lr': 1e-05, 'optimizer_weight_decay': 0.0001, 'optimizer_lr_backbone': 1e-05}, 'output_dir': 'outputs/train/act_so101', 'job_name': 'act_so101', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 2, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 1e-05, 'weight_decay': 0.0001, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': None, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot_act', 'entity': None, 'notes': None, 'run_id': None, 'mode': None}, '_wandb': {}}
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| 11 |
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2025-06-21 23:04:07,456 INFO MainThread:9356 [wandb_init.py:init():872] starting backend
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2025-06-21 23:04:07,668 INFO MainThread:9356 [wandb_init.py:init():956] updated telemetry
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| 16 |
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2025-06-21 23:04:08,150 INFO MainThread:9356 [wandb_init.py:init():1032] starting run threads in backend
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| 17 |
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2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_console_start():2453] atexit reg
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2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2301] redirect: wrap_raw
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2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2370] Wrapping output streams.
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2025-06-21 23:04:08,251 INFO MainThread:9356 [wandb_run.py:_redirect():2393] Redirects installed.
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2025-06-21 23:04:08,254 INFO MainThread:9356 [wandb_init.py:init():1078] run started, returning control to user process
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train/act_so101/wandb/run-20250621_230407-ky55y5eb/run-ky55y5eb.wandb
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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