# eyepacs-2015-2019-12-12-2023-093828/-12-12-2023-093828
## Description
Fine-tuned vit_large_patch16 model for ./models/eyepacs-2015-2019-12-12-2023-093828/

## Use Cases
- RETfound validation
- Diabetic screening

## Limitations
- for research/education use only
- not for clinical use

## Ethics
- Ethics 1
- Ethics 2

## Training Data
6999 images from 5 classes

## Training Procedure
Fine-tuned for 50 epochs with batch size 10 and base learning rate 0.005

## Intended Use
Intended for use with eyepacs-2015-2019 dataset

## Authors
- Author 1
- Author 2

## References
- Reference 1
- Reference 2
{"tags": ["image-classification", "VitMAE"], "pipeline_tag": "image-classification"}
transformers pytorch vit image-classification VitMAE autotrain_compatible endpoints_compatible region:us