---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo-v5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# vit-base-beans-demo-v5

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the diabetic-retinopathy-classification dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7260
- Accuracy: 0.7263

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9235        | 0.47  | 100  | 0.8972          | 0.6493   |
| 0.9253        | 0.95  | 200  | 0.9151          | 0.6635   |
| 0.8371        | 1.42  | 300  | 0.8071          | 0.6931   |
| 0.7355        | 1.9   | 400  | 0.7563          | 0.7073   |
| 0.6532        | 2.37  | 500  | 0.7543          | 0.6896   |
| 0.5982        | 2.84  | 600  | 0.7260          | 0.7263   |
| 0.4276        | 3.32  | 700  | 0.7346          | 0.7239   |
| 0.4935        | 3.79  | 800  | 0.7490          | 0.7133   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2