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eyegazer-vit-lora – AI Model by monsoon-nlp | AlphaNeural AI
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eyegazer-vit-lora
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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
