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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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wandb/run-20250605_184600-sam_fold_cloth_aug/files/config.yaml

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wandb/run-20250605_184600-sam_fold_cloth_aug/files/output.log

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+Logs will be synced with wandb.
+INFO 2025-06-05 18:46:01 ndb_utils.py:96 Track this run --> https://wandb.ai/girardijp3-universidade-federal-de-santa-catarina/lerobot/runs/sam_fold_cloth_aug
+INFO 2025-06-05 18:46:01 ts/train.py:127 Creating dataset
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+Fetching 276 files: 100% 276/276 [00:25<00:00, 10.63it/s]
+Resolving data files: 100% 54/54 [00:00<00:00, 149895.71it/s]
+Downloading data: 100% 54/54 [00:00<00:00, 154076.47files/s]
+Generating train split: 56268 examples [00:00, 136214.42 examples/s]
+INFO 2025-06-05 18:46:31 ts/train.py:138 Creating policy
+Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /root/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
+100% 44.7M/44.7M [00:00<00:00, 212MB/s]
+INFO 2025-06-05 18:46:33 ts/train.py:144 Creating optimizer and scheduler
+INFO 2025-06-05 18:46:33 ts/train.py:156 Output dir: outputs/train/sam_fold_cloth_aug
+INFO 2025-06-05 18:46:33 ts/train.py:159 cfg.steps=100000 (100K)
+INFO 2025-06-05 18:46:33 ts/train.py:160 dataset.num_frames=56268 (56K)
+INFO 2025-06-05 18:46:33 ts/train.py:161 dataset.num_episodes=54
+INFO 2025-06-05 18:46:33 ts/train.py:162 num_learnable_params=51613582 (52M)
+INFO 2025-06-05 18:46:33 ts/train.py:163 num_total_params=51613690 (52M)
+INFO 2025-06-05 18:46:33 ts/train.py:202 Start offline training on a fixed dataset
+Traceback (most recent call last):
+  File "/root/lerobot/lerobot/scripts/train.py", line 288, in <module>
+    train()
+  File "/root/lerobot/lerobot/configs/parser.py", line 226, in wrapper_inner
+    response = fn(cfg, *args, **kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/root/lerobot/lerobot/scripts/train.py", line 212, in train
+    train_tracker, output_dict = update_policy(
+                                 ^^^^^^^^^^^^^^
+  File "/root/lerobot/lerobot/scripts/train.py", line 101, in update_policy
+    train_metrics.loss = loss.item()
+                         ^^^^^^^^^^^
+KeyboardInterrupt

wandb/run-20250605_184600-sam_fold_cloth_aug/files/requirements.txt

@@ -0,0 +1,698 @@
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