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+ INFO 2025-12-06 16:13:45 db_utils.py:102 Logs will be synced with wandb.
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+ INFO 2025-12-06 16:13:45 db_utils.py:103 Track this run --> https://wandb.ai/mohamedkarimziadi-hugging-face/lerobot/runs/fqisdt4e
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+ INFO 2025-12-06 16:13:45 ot_train.py:183 Creating dataset
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+ info.json: 4.07kB [00:00, 839kB/s] | 0/4 [00:00<?, ?it/s]
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+ INFO 2025-12-06 16:13:48 ot_train.py:202 Creating policyM/246M [00:02<00:00, 143
17
+ The PI05 model is a direct port of the OpenPI implementation.
18
+ This implementation follows the original OpenPI structure for compatibility.
19
+ Original implementation: https://github.com/Physical-Intelligence/openpi
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+ INFO 2025-12-06 16:14:28 ing_pi05.py:549 Enabled gradient checkpointing for PI05Pytorch model
21
+ Loading model from: lerobot/pi05_base
22
+ ✓ Loaded state dict from model.safetensors
23
+ WARNING 2025-12-06 16:14:30 ng_pi05.py:1022 Vision embedding key might need handling: paligemma_with_expert.paligemma.model.vision_tower.vision_model.embeddings.patch_embedding.bias
24
+ WARNING 2025-12-06 16:14:30 ng_pi05.py:1022 Vision embedding key might need handling: paligemma_with_expert.paligemma.model.vision_tower.vision_model.embeddings.patch_embedding.weight
25
+ Remapped: action_in_proj.bias -> model.action_in_proj.bias
26
+ Remapped: action_in_proj.weight -> model.action_in_proj.weight
27
+ Remapped: action_out_proj.bias -> model.action_out_proj.bias
28
+ Remapped: action_out_proj.weight -> model.action_out_proj.weight
29
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+ Remapped: paligemma_with_expert.gemma_expert.model.layers.0.input_layernorm.dense.bias -> model.paligemma_with_expert.gemma_expert.model.layers.0.input_layernorm.dense.bias
31
+ Remapped: paligemma_with_expert.gemma_expert.model.layers.0.input_layernorm.dense.weight -> model.paligemma_with_expert.gemma_expert.model.layers.0.input_layernorm.dense.weight
32
+ Remapped: paligemma_with_expert.gemma_expert.model.layers.0.mlp.down_proj.weight -> model.paligemma_with_expert.gemma_expert.model.layers.0.mlp.down_proj.weight
33
+ Remapped: paligemma_with_expert.gemma_expert.model.layers.0.mlp.gate_proj.weight -> model.paligemma_with_expert.gemma_expert.model.layers.0.mlp.gate_proj.weight
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35
+ Remapped 812 state dict keys
36
+ Warning: Could not remap state dict keys: Error(s) in loading state_dict for PI05Policy:
37
+ Missing key(s) in state_dict: "model.paligemma_with_expert.paligemma.model.language_model.embed_tokens.weight".
38
+ INFO 2025-12-06 16:14:44 ot_train.py:247 Creating optimizer and scheduler
39
+ INFO 2025-12-06 16:14:44 hedulers.py:105 Auto-scaling LR scheduler: num_training_steps (3000) < num_decay_steps (30000). Scaling warmup: 1000 → 100, decay: 30000 → 3000 (scale factor: 0.100)
40
+ INFO 2025-12-06 16:14:44 ot_train.py:259 Output dir: outputs/train/pi05_mobile_arm_bottle_02
41
+ INFO 2025-12-06 16:14:44 ot_train.py:262 cfg.steps=3000 (3K)
42
+ INFO 2025-12-06 16:14:44 ot_train.py:263 dataset.num_frames=9898 (10K)
43
+ INFO 2025-12-06 16:14:44 ot_train.py:264 dataset.num_episodes=13
44
+ INFO 2025-12-06 16:14:44 ot_train.py:267 Effective batch size: 32 x 1 = 32
45
+ INFO 2025-12-06 16:14:44 ot_train.py:268 num_learnable_params=3616757520 (4B)
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+ INFO 2025-12-06 16:14:44 ot_train.py:269 num_total_params=3616757520 (4B)
47
+ INFO 2025-12-06 16:14:44 ot_train.py:324 Start offline training on a fixed dataset
48
+ INFO 2025-12-06 16:23:01 ot_train.py:351 step:200 smpl:6K ep:8 epch:0.65 loss:0.226 grdn:2.107 lr:1.9e-05 updt_s:2.461 data_s:0.024
49
+ WARNING 2025-12-06 16:23:01 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
50
+ INFO 2025-12-06 16:30:54 ot_train.py:351 step:400 smpl:13K ep:17 epch:1.29 loss:0.098 grdn:1.144 lr:2.4e-05 updt_s:2.324 data_s:0.036
51
+ WARNING 2025-12-06 16:30:54 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
52
+ INFO 2025-12-06 16:38:41 ot_train.py:351 step:600 smpl:19K ep:25 epch:1.94 loss:0.080 grdn:0.910 lr:2.3e-05 updt_s:2.321 data_s:0.013
53
+ WARNING 2025-12-06 16:38:41 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
54
+ INFO 2025-12-06 16:46:32 ot_train.py:351 step:800 smpl:26K ep:34 epch:2.59 loss:0.070 grdn:0.853 lr:2.2e-05 updt_s:2.315 data_s:0.037
55
+ WARNING 2025-12-06 16:46:32 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
56
+ INFO 2025-12-06 16:54:22 ot_train.py:351 step:1K smpl:32K ep:42 epch:3.23 loss:0.065 grdn:0.748 lr:2.0e-05 updt_s:2.314 data_s:0.036
57
+ WARNING 2025-12-06 16:54:22 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
58
+ INFO 2025-12-06 17:02:09 ot_train.py:351 step:1K smpl:38K ep:50 epch:3.88 loss:0.060 grdn:0.708 lr:1.8e-05 updt_s:2.320 data_s:0.013
59
+ WARNING 2025-12-06 17:02:09 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
60
+ INFO 2025-12-06 17:09:59 ot_train.py:351 step:1K smpl:45K ep:59 epch:4.53 loss:0.056 grdn:0.755 lr:1.6e-05 updt_s:2.312 data_s:0.034
61
+ WARNING 2025-12-06 17:09:59 db_utils.py:141 WandB logging of key "loss_per_dim" was ignored as its type "<class 'list'>" is not handled by this wrapper.
62
+ INFO 2025-12-06 17:17:49 ot_train.py:351 step:2K smpl:51K ep:67 epch:5.17 loss:0.054 grdn:0.721 lr:1.4e-05 updt_s:2.311 data_s:0.037
63
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