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# vit-brain-tumor

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 custom/brain-tumor dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4552
- Accuracy: 0.8571

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6298        | 1.0   | 1478  | 0.6281          | 0.7495   |
| 0.5911        | 2.0   | 2956  | 0.5900          | 0.7920   |
| 0.5705        | 3.0   | 4434  | 0.5593          | 0.8103   |
| 0.5091        | 4.0   | 5912  | 0.5358          | 0.8237   |
| 0.5124        | 5.0   | 7390  | 0.5169          | 0.8343   |
| 0.4631        | 6.0   | 8868  | 0.5029          | 0.8467   |
| 0.4834        | 7.0   | 10346 | 0.4907          | 0.8515   |
| 0.4724        | 8.0   | 11824 | 0.4804          | 0.8541   |
| 0.4702        | 9.0   | 13302 | 0.4715          | 0.8549   |
| 0.4162        | 10.0  | 14780 | 0.4653          | 0.8570   |
| 0.4664        | 11.0  | 16258 | 0.4603          | 0.8602   |
| 0.469         | 12.0  | 17736 | 0.4565          | 0.8610   |
| 0.4299        | 13.0  | 19214 | 0.4539          | 0.8621   |
| 0.4191        | 14.0  | 20692 | 0.4522          | 0.8621   |
| 0.4652        | 15.0  | 22170 | 0.4517          | 0.8623   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1

no yes