---
license: apache-2.0
base_model: google/vit-large-patch16-224
tags:
- generated_from_trainer
model-index:
- name: vit-xray-chest-classification-pneumonia
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mthandazogegane/huggingface/runs/oj2ksbq2)
# vit-xray-chest-classification-pneumonia

This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1390

## 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: 10
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 469  | 0.2521          |
| 0.2725        | 2.0   | 938  | 0.1408          |
| 0.1912        | 3.0   | 1407 | 0.1250          |
| 0.1708        | 4.0   | 1876 | 0.0978          |
| 0.1482        | 5.0   | 2345 | 0.1008          |
| 0.1424        | 6.0   | 2814 | 0.1339          |
| 0.124         | 7.0   | 3283 | 0.0987          |
| 0.1257        | 8.0   | 3752 | 0.1206          |
| 0.1085        | 9.0   | 4221 | 0.1409          |
| 0.0947        | 10.0  | 4690 | 0.1390          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1