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smolvla_finetune_arrange_chocolate
makermods/smolvla_finetune_arrange_chocolate
smolvla_finetune_arrange_chocolate is a robotics model from makermods. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot.
5,000-step fine-tune of the 20k checkpoint of smolvla3cam50eparrangechocolate, on makermods/arrangechocolatefinetune.
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.safetensors17.3 GB · 100%
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BF16301M · 67%
Model card
From the Hugging Face model README
smolvla_finetune_arrange_chocolate
5,000-step fine-tune of the 20k checkpoint of smolvla_3cam_50ep_arrange_chocolate, on makermods/arrange_chocolate_finetune.
Training
| Policy | SmolVLA (smolvla) |
| Base | /home/makermods/.cache/huggingface/lerobot/outputs/train/smolvla_arrange_chocolate_20260827_204344/run/checkpoints/020000/pretrained_model |
| Dataset | makermods/arrange_chocolate_finetune |
| Steps | 5000 |
| Batch size | 64 |
| LR | 1e-05 -> 2.5e-06 (cosine_decay_with_warmup) |
| Warmup steps | 200 |
| Cameras | front, top, wrist (3x 480x640) |
| Checkpoints | 10 (every 500 steps) |
Layout
The final checkpoint is at the repo root, so this repo loads directly as a policy.
Every intermediate checkpoint is under checkpoints/<step>/, each with
pretrained_model/ and training_state/ (resumable).
rename_map is empty and the camera keys are the real dataset keys
(observation.images.front / .top / .wrist), so lerobot-eval,
lerobot-rollout and policy_server.py load this checkpoint without a rewrite.
- Task
- Robotics
- Library
- lerobot
- Created
- Aug 31, 2026
- Updated
- Aug 31, 2026