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README.md

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 library_name: peft
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-## Training procedure
 
-### Framework versions
+## 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