maximilianofir/so101-balanced-gripper-ab-50k-20261005

Balanced gripper A/B experiment Run these commands inside the workshop image, from the repository root. Set HF_TOKEN and WANDB_API_KEY in the process environment. Use a persistent output mount with at least 100 GiB free. The two training arms run sequentially on one H100. python docker/scripts/gripper_ab.py supervise --config docker/scripts/gripper_ab_50k.json --work outputs/balanced-gripper-50k-20261005 On the RTX evaluation host, using the same committed checkout and image… See the full description on the dataset page: https://huggingface.co/datasets/maximilianofir/so101-balanced-gripper-ab-

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