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currently we tune the entire model, and it also works.
Thank you for your reply. Is there any difference between full-tuning and freeze the image encoder. Which option would be better for downstream tasks (visual grounding, classification, detection)?
Hello, you could set freeze_vision_modules as true to freeze the image encoder. In our preliminary experiment, compared with full-finetuning, freezing image encoder seems to be a little better on OOD dataset while comparable on in-domain dataset.
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