---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-brain-mri
  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. -->

# vit-base-brain-mri

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the BrainMRI dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0577
- Accuracy: 0.5990

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 72   | 0.9986          | 0.6098   |
| 1.098         | 2.0   | 144  | 0.8445          | 0.7003   |
| 0.7895        | 3.0   | 216  | 0.7318          | 0.7526   |
| 0.7895        | 4.0   | 288  | 0.6842          | 0.7474   |
| 0.6629        | 5.0   | 360  | 0.6328          | 0.7857   |
| 0.5966        | 6.0   | 432  | 0.5957          | 0.8101   |
| 0.5546        | 7.0   | 504  | 0.5646          | 0.8118   |
| 0.5546        | 8.0   | 576  | 0.5647          | 0.8049   |
| 0.5113        | 9.0   | 648  | 0.5340          | 0.8275   |
| 0.4882        | 10.0  | 720  | 0.5190          | 0.8328   |
| 0.4882        | 11.0  | 792  | 0.5197          | 0.8328   |
| 0.4789        | 12.0  | 864  | 0.5002          | 0.8258   |
| 0.4582        | 13.0  | 936  | 0.4957          | 0.8310   |
| 0.4426        | 14.0  | 1008 | 0.4821          | 0.8310   |
| 0.4426        | 15.0  | 1080 | 0.4706          | 0.8467   |
| 0.4328        | 16.0  | 1152 | 0.4821          | 0.8153   |
| 0.432         | 17.0  | 1224 | 0.4992          | 0.8275   |
| 0.432         | 18.0  | 1296 | 0.4799          | 0.8345   |
| 0.4196        | 19.0  | 1368 | 0.4838          | 0.8310   |
| 0.4287        | 20.0  | 1440 | 0.4598          | 0.8659   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1