---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Brain-Tumor-Classification
  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. -->

# Brain-Tumor-Classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0872
- Accuracy: 0.9758

## 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: 5e-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: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2074        | 1.0   | 44   | 0.8060          | 0.8128   |
| 0.4897        | 2.0   | 88   | 0.3008          | 0.9274   |
| 0.2462        | 3.0   | 132  | 0.2464          | 0.9331   |
| 0.1937        | 4.0   | 176  | 0.1918          | 0.9502   |
| 0.1523        | 5.0   | 220  | 0.1699          | 0.9502   |
| 0.1371        | 6.0   | 264  | 0.1372          | 0.9644   |
| 0.1104        | 7.0   | 308  | 0.1121          | 0.9708   |
| 0.1097        | 8.0   | 352  | 0.1220          | 0.9651   |
| 0.1015        | 9.0   | 396  | 0.1053          | 0.9737   |
| 0.0841        | 10.0  | 440  | 0.1142          | 0.9708   |
| 0.0839        | 11.0  | 484  | 0.1073          | 0.9708   |
| 0.0771        | 12.0  | 528  | 0.1156          | 0.9665   |
| 0.074         | 13.0  | 572  | 0.1203          | 0.9644   |
| 0.0652        | 14.0  | 616  | 0.0706          | 0.9858   |
| 0.0694        | 15.0  | 660  | 0.0984          | 0.9744   |
| 0.0596        | 16.0  | 704  | 0.0872          | 0.9758   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2