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# finetuned-BrainTumor-2.0

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 BrainTumorMRIForFineTuningViT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1038
- Accuracy: 0.9743

## 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.3701        | 0.3289 | 100  | 0.2643          | 0.9183   |
| 0.3706        | 0.6579 | 200  | 0.2855          | 0.9125   |
| 0.1825        | 0.9868 | 300  | 0.1563          | 0.9510   |
| 0.1405        | 1.3158 | 400  | 0.1656          | 0.9382   |
| 0.1684        | 1.6447 | 500  | 0.1038          | 0.9743   |
| 0.1363        | 1.9737 | 600  | 0.1086          | 0.9697   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1

glioma meningioma notumor pituitary