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.