Fine-tuning smolVLA on LIBERO
This project fine-tunes lerobot/smolvla_base using the HuggingFaceVLA/libero dataset to improve vision-language-action understanding for multi-task robotic manipulation.
Overview
- Model: smolVLA
- Dataset: LIBERO
- Training: Supervised fine-tuning (SFT)
- Task: Vision-Language-Action learning from demonstrations
Dataset
LIBERO provides multi-task robotic manipulation demonstrations with visual observations, language instructions, and action sequences.
Training
The model was fine-tuned on the LIBERO dataset following the original smolVLA instructions, mapping visual observations and language instructions to robot actions.
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Model tree for irisWU23/smolVLA_libero
Base model
lerobot/smolvla_base