zchn/robo_test_green_marker_v0
SO-101 • Updated • 67 episodes • 716
How to use zchn/smolvla_green_marker_n28 with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=zchn/smolvla_green_marker_n28 \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function
python -m lerobot.record \
--robot.type=so101_follower \
--robot.port=/dev/ttyACM0 \ # <- Use your port
--robot.id=my_blue_follower_arm \ # <- Use your robot id
--robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras
--dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording
--dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub
--dataset.episode_time_s=50 \
--dataset.num_episodes=10 \
--policy.path=zchn/smolvla_green_marker_n28Fine-tuned from lerobot/smolvla_base on the SO-101 green-box → marker task.
| Dataset | zchn/robo_test_green_marker_v0 @ eddb45d (28 episodes, V1+V2) |
| Steps | 5000 |
| Final train loss | ~0.116 |
| Device | MPS |
Training used --rename_map so dataset keys match the base policy:
observation.images.handeye → observation.images.camera1observation.images.front → observation.images.camera2empty_cameras=1 (third camera slot)Task string: put the green box on the marker.
Base model
HuggingFaceTB/SmolLM2-360M