BookHou/smolvla-rgbd-unfrozen-b8-9280

# SmolVLA RGB-D Unfrozen B8 9280

SmolVLA policy fine-tuned for an SO-101 flower-pot manipulation task using three visual inputs.

## Training configuration

• —Training steps: 9,280
• —Batch size: 8
• —Learning rate: 3e-6
• —Vision encoder frozen: No
• —Visual inputs: 3
• —Robot state dimension: 6
• —Action dimension: 6
• —Action chunk size: 50
• —Base VLM: HuggingFaceTB/SmolVLM2-500M-Video-Instruct

## Dataset

The model was trained on a 200-episode RGB-D robot manipulation dataset.

## Intended use

This model is intended for robotics research and demonstration. It requires the corresponding LeRobot/SmolVLA code, observation format, robot configuration, and hardware-specific calibration.

## Limitations

The policy was trained for a specific robot, camera arrangement, workspace, and manipulation task. It should not be deployed on another physical robot without recalibration, safety limits, and supervised testing.