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smolvla-finetuned-3000-steps
Jonnyyy/smolvla-finetuned-3000-steps
smolvla-finetuned-3000-steps is a machine learning model from Jonnyyy. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Base Model: lerobot/smolvlabase - Dataset: lerobot/droid100 - Training Steps: 3000 - Final Loss: 0.0429 - Training Time: 13.1 seconds
Access
Public
Updated Jul 19, 2025
Repo size
6.4 MB
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Repo makeup
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.bin8.5 MB · 98%
At a glance
- Access
- Public
- Created
- Jul 19, 2025
- Updated
- Jul 19, 2025
- SHA
- e8b5cd78
Model card
From the Hugging Face model README
SmolVLA Fine-tuned Model
Model Details
- Base Model: lerobot/smolvla_base
- Dataset: lerobot/droid_100
- Training Steps: 3000
- Final Loss: 0.0429
- Training Time: 13.1 seconds
Training Configuration
- Batch Size: 32
- Learning Rate: 0.0001
- Optimizer: AdamW
- Scheduler: Linear with warmup
Usage
import torch
from your_model_class import SmolVLAModel
model = SmolVLAModel()
model.load_state_dict(torch.load("pytorch_model.bin"))
model.eval()
Performance
- Loss reduction: 57.2% (0.1004 → 0.0429)
- Trained on 32212 robotic manipulation samples
Model trained using Modal + Claude Code pipeline
- Created
- Jul 19, 2025
- Updated
- Jul 19, 2025