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LoRA Image Classification LoRA adapter
Model: google/vit-base-patch16-224-in21k
Dataset: https://www.kaggle.com/c/aptos2019-blindness-detection - fundus images of the back of the eye, and diabetic retinopathy score
Source docs: https://huggingface.co/docs/peft/task_guides/image_classification_lora
Training notebook: https://colab.research.google.com/drive/1TVsUyyou87E26Sz40CdBH3CzWoVckgtq?usp=sharing
On 10% held-out of training data: accuracy 76%
- PEFT 0.5.0
Future goals
- More documentation
- Modify loss for regression on 0-4 score
- Script and Gradio to use raw images
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