From 234ad0c9c7e4b8a1523392041f6a956c47e9b851 Mon Sep 17 00:00:00 2001 From: Andy Wrenn Date: Fri, 3 Jul 2026 05:24:49 -0700 Subject: [PATCH] Remove sample so101 training command --- docs/source/groot.mdx | 25 ------------------------- 1 file changed, 25 deletions(-) diff --git a/docs/source/groot.mdx b/docs/source/groot.mdx index cdf053b0c..9a6c02ed5 100644 --- a/docs/source/groot.mdx +++ b/docs/source/groot.mdx @@ -78,31 +78,6 @@ Here's a complete training command for finetuning the base GR00T model on your o This command is using the `new_embodiment` flag, which is used for the SO-101 robot, [read more about how GR00T handles different embodiments.](https://github.com/NVIDIA/Isaac-GR00T/blob/main/getting_started/policy.md#--embodiment-tag). -```bash -lerobot-train \ - --dataset.repo_id=my-so101-dataset \ - --dataset.revision=main \ - --dataset.video_backend=pyav \ - --policy.type=groot \ - --policy.base_model_path=nvidia/GR00T-N1.7-3B \ - --policy.embodiment_tag=new_embodiment \ - --policy.chunk_size=16 \ - --policy.n_action_steps=16 \ - --policy.use_relative_actions=true \ - --policy.max_steps=20000 \ - --batch_size=320 \ - --steps=20000 \ - --save_freq=2000 \ - --env_eval_freq=0 \ - --eval_steps=0 \ - --log_freq=10 \ - --num_workers=4 \ - --prefetch_factor=2 \ - --persistent_workers=true \ - --output_dir=outputs/train \ - --job_name=groot-n17-so101-my-env -``` - ```bash # install extra deps for training pip install "lerobot[training]"