SmolVLA Fine-tuned Model
This model is a fine-tuned version of HuggingFaceTB/SmolVLA trained using the LeRobot library.
Model Details
- Base Model: HuggingFaceTB/SmolVLA
- Training Steps: 20,000
- Batch Size: 10
- Checkpoints Available: 4
Available Checkpoints
This repository contains multiple checkpoints from the training process:
checkpoint-020000/
- Step 020000checkpoint-040000/
- Step 040000checkpoint-060000/
- Step 060000checkpoint-last/
- Step last
Usage
from lerobot import LeRobotPolicy
# Load the final checkpoint
model = LeRobotPolicy.from_pretrained("HelloCephalopod/my_smolvla_2/checkpoint-last")
# Or load a specific checkpoint
model = LeRobotPolicy.from_pretrained("HelloCephalopod/my_smolvla_2/checkpoint-10000")
Training Details
- Training Data: Custom dataset from Hugging Face Hub
- Training Steps: 60,000
- Batch Size: 10
- Save Steps: 20,000
- Hardware: Google Colab GPU
Checkpoint Selection
- checkpoint-40000: Mid-training checkpoint
- checkpoint-60000: Final checkpoint
- checkpoint-last: Latest checkpoint (recommended)
Citation
If you use this model, please cite the original SmolVLA paper and the LeRobot library.