JunJunJunya/bluecube_101_0715
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How to use JunJunJunya/bluecube_101_0715_policy with LeRobot:
ACT policy trained on JunJunJunya/bluecube_101_0715 alone (100 episodes), lerobot ACT
defaults (optimizer_lr=1e-5, optimizer_lr_backbone=1e-5, batch_size=16, no image
augmentation), for 20,000 steps.
Training completed all 20,000 steps, but the local disk ran out of space while writing
the final checkpoint's optimizer_state.safetensors (resume-only state), so this
upload is the model weights only (pretrained_model/) -- fine for inference, just not
resumable as a training run.
Trained locally via Training_local.py in this repo.