forked from tangger/lerobot
instructions to train the model
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@@ -29,16 +29,20 @@ pip install -e ".[smolvla]"
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Example of finetuning the smolvla pretrained model (`smolvla_base`):
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```bash
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python lerobot/scripts/train.py \
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--policy.path=lerobot/smolvla \
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--dataset.repo_id=danaaubakirova/koch_test
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--policy.path=lerobot/smolvla_base \
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--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
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--batch_size=64 \
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--steps=200000
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```
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Example of finetuning the smolvla neural network with SmolVLM and expert Gemma
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pretrained with VLM default parameters before smolvla finetuning:
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Example of finetuning the smolvla neural network with pretrained VLM and action expert
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intialized from scratch:
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```bash
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python lerobot/scripts/train.py \
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--policy.type=smolvla \
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--dataset.repo_id=danaaubakirova/koch_test
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--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
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--batch_size=64 \
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--steps=200000
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```
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Example of using the smolvla pretrained model outside LeRobot training framework:
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