Instructions to use Shunchang/SmolVLM-Instruct-condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shunchang/SmolVLM-Instruct-condition with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- num_epochs:
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### Training results
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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### Training results
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adapter_model.safetensors
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runs/May25_03-47-02_b2b4332a324e/events.out.tfevents.1748144827.b2b4332a324e.1480.1
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training_args.bin
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