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bklassen3434/smolvla_pick_pen_v2_frozen
smolvla_pick_pen_v2_frozen is a robotics model from bklassen3434. 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. The card lists the license as apache-2.0.
SmolVLA (450M) fine-tuned from lerobot/smolvlabase on an SO-101 teleop dataset for language-conditioned pen selection: "Pick up the blue pen" / "Pick up the pink pen" / "Pick up the grey pen" (all three pens present i…
Downloads · 30 days
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From the Hugging Face model README
SmolVLA (450M) fine-tuned from lerobot/smolvla_base on an SO-101 teleop dataset for
language-conditioned pen selection: "Pick up the blue pen" / "Pick up the pink pen" /
"Pick up the grey pen" (all three pens present in every episode).
This variant keeps SmolVLA's defaults: only the action expert trains, the VLM and vision
encoder are frozen, so fine-tuning physically cannot overwrite the pretrained language
grounding. Part of a 3-way sweep — see also smolvla_pick_pen_v2_lr1e4 and
smolvla_pick_pen_v2_lr5e5, which both unfreeze the vision encoder.
| Base model | lerobot/smolvla_base |
| Dataset | bklassen3434/pick_pen_v2_20260920_124400 |
| Steps | 10,000 (batch size 64, ~24 epochs) |
| Learning rate | 1e-4 (default), cosine decay over 10,000 steps |
| Trainable | action expert only (freeze_vision_encoder=true, train_expert_only=true) |
| Hardware | 1x A100-80GB (Modal), 1h23m, 15.5 GB peak |
| Final loss | 0.043 |
Cameras are recorded as observation.images.top / observation.images.wrist and remapped
onto SmolVLA's baked-in camera keys at train time:
--rename_map='{"observation.images.top": "observation.images.camera1",
"observation.images.wrist": "observation.images.camera2"}'
The same rename map must be passed at eval time (lerobot-rollout / lerobot-record).