pytorch tensorboard vit image-classification dataset:chest X-rays transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
datasets:
- chest X-rays
widget:
- src: https://drive.google.com/uc?id=1ygVCyEn6mfsNwpT1ZvWxANg5_DvStA7M
  example_title: PNEUMONIA
- src: https://drive.google.com/uc?id=1xjcIEDb8kuSd4wF44gCEgsc0PfRvs53m
  example_title: NORMAL
model-index:
- name: vit-finetuned-chest-xray-pneumonia
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit-finetuned-chest-xray-pneumonia

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 [chest-xray-pneumonia](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1271
- Accuracy: 0.9551

## 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: 2e-05
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 326  | 0.2739          | 0.9167   |
| 0.2238        | 2.0   | 652  | 0.2892          | 0.9071   |
| 0.2238        | 3.0   | 978  | 0.2077          | 0.9407   |
| 0.1385        | 4.0   | 1304 | 0.1349          | 0.9535   |
| 0.1347        | 5.0   | 1630 | 0.1271          | 0.9551   |
| 0.1347        | 6.0   | 1956 | 0.1458          | 0.9535   |
| 0.1112        | 7.0   | 2282 | 0.2040          | 0.9375   |
| 0.1063        | 8.0   | 2608 | 0.1423          | 0.9567   |
| 0.1063        | 9.0   | 2934 | 0.1473          | 0.9535   |
| 0.0944        | 10.0  | 3260 | 0.1385          | 0.9583   |

## Example Images
#### Pneumonia Chest X-Ray
![Pneumonia](https://drive.google.com/uc?id=1yqnhD4Wjt4Y_NGLtijTGGaaw9GL497kQ)
#### Normal Chest X-Ray
![Normal](https://drive.google.com/uc?id=1xjcIEDb8kuSd4wF44gCEgsc0PfRvs53m)
### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
