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chicken_to_plate_act

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+ Logs will be synced with wandb.
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+ INFO 2025-04-13 07:11:50 ndb_utils.py:96 Track this run --> https://wandb.ai/rgarciap/lerobot/runs/ipo2f6m2
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+ INFO 2025-04-13 07:11:50 ts/train.py:127 Creating dataset
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+ Downloading data: 100%|██████████| 69/69 [00:00<00:00, 140420.66files/s]
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+ Generating train split: 19655 examples [00:00, 273149.72 examples/s]
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+ INFO 2025-04-13 07:11:51 ts/train.py:138 Creating policy
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+ INFO 2025-04-13 07:11:52 ts/train.py:144 Creating optimizer and scheduler
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+ INFO 2025-04-13 07:11:52 ts/train.py:156 Output dir: outputs/train/act_bs8_chickenToPlate
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+ INFO 2025-04-13 07:11:52 ts/train.py:159 cfg.steps=100000 (100K)
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+ INFO 2025-04-13 07:11:52 ts/train.py:160 dataset.num_frames=19655 (20K)
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+ INFO 2025-04-13 07:11:52 ts/train.py:161 dataset.num_episodes=69
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+ INFO 2025-04-13 07:11:52 ts/train.py:163 num_total_params=51597238 (52M)
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wandb/latest-run/files/requirements.txt ADDED
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1
+ setuptools==75.8.0
2
+ wheel==0.45.1
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17
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21
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33
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34
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35
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36
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37
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+ nvidia-curand-cu12==10.3.5.147
51
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52
+ nvidia-cuda-runtime-cu12==12.4.127
53
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+ Logs will be synced with wandb.
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+ INFO 2025-04-13 07:11:50 ndb_utils.py:96 Track this run --> https://wandb.ai/rgarciap/lerobot/runs/ipo2f6m2
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+ INFO 2025-04-13 07:11:50 ts/train.py:127 Creating dataset
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+ Downloading data: 100%|██████████| 69/69 [00:00<00:00, 140420.66files/s]
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+ Generating train split: 19655 examples [00:00, 273149.72 examples/s]
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+ INFO 2025-04-13 07:11:51 ts/train.py:138 Creating policy
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+ INFO 2025-04-13 07:11:52 ts/train.py:144 Creating optimizer and scheduler
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+ INFO 2025-04-13 07:11:52 ts/train.py:156 Output dir: outputs/train/act_bs8_chickenToPlate
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+ INFO 2025-04-13 07:11:52 ts/train.py:159 cfg.steps=100000 (100K)
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+ INFO 2025-04-13 07:11:52 ts/train.py:160 dataset.num_frames=19655 (20K)
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+ INFO 2025-04-13 07:11:52 ts/train.py:161 dataset.num_episodes=69
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+ INFO 2025-04-13 07:11:52 ts/train.py:162 num_learnable_params=51597190 (52M)
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+ INFO 2025-04-13 07:11:52 ts/train.py:163 num_total_params=51597238 (52M)
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+ INFO 2025-04-13 07:11:52 ts/train.py:202 Start offline training on a fixed dataset
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+ INFO 2025-04-13 07:12:06 ts/train.py:232 step:200 smpl:2K ep:6 epch:0.08 loss:6.809 grdn:153.932 lr:1.0e-05 updt_s:0.069 data_s:0.003
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+ INFO 2025-04-13 07:12:19 ts/train.py:232 step:400 smpl:3K ep:11 epch:0.16 loss:3.046 grdn:85.225 lr:1.0e-05 updt_s:0.065 data_s:0.000
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+ INFO 2025-04-13 07:12:32 ts/train.py:232 step:600 smpl:5K ep:17 epch:0.24 loss:2.598 grdn:75.474 lr:1.0e-05 updt_s:0.065 data_s:0.000
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wandb/run-20250413_071149-ipo2f6m2/files/requirements.txt ADDED
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