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# vit-base-xray-pneumonia-lcbsi

This model is a fine-tuned version of [nickmuchi/vit-base-xray-pneumonia](https://huggingface.co/nickmuchi/vit-base-xray-pneumonia) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3775
- Accuracy: 0.9773

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5887        | 0.98  | 27   | 1.4949          | 0.4413   |
| 1.3065        | 1.98  | 54   | 1.1940          | 0.888    |
| 0.9621        | 2.98  | 81   | 0.9100          | 0.9493   |
| 0.792         | 3.98  | 108  | 0.7025          | 0.9653   |
| 0.5976        | 4.98  | 135  | 0.5612          | 0.972    |
| 0.4804        | 5.98  | 162  | 0.4705          | 0.9747   |
| 0.4194        | 6.98  | 189  | 0.4131          | 0.976    |
| 0.373         | 7.98  | 216  | 0.3775          | 0.9773   |
| 0.3402        | 8.98  | 243  | 0.3616          | 0.976    |
| 0.3308        | 9.98  | 270  | 0.3538          | 0.976    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2

basophil eosinophil lymphocyte monocyte neutrophil