---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: brain-tumor-vgg19
  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-vgg19

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7640
- Accuracy: 0.9771

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 179  | 0.9034          | 0.8360   |
| No log        | 2.0   | 358  | 0.8890          | 0.8558   |
| 0.869         | 3.0   | 537  | 0.8462          | 0.8940   |
| 0.869         | 4.0   | 716  | 0.8387          | 0.9047   |
| 0.869         | 5.0   | 895  | 0.7820          | 0.9580   |
| 0.7826        | 6.0   | 1074 | 0.8096          | 0.9306   |
| 0.7826        | 7.0   | 1253 | 0.7943          | 0.9474   |
| 0.7826        | 8.0   | 1432 | 0.7721          | 0.9695   |
| 0.7617        | 9.0   | 1611 | 0.7674          | 0.9756   |
| 0.7617        | 10.0  | 1790 | 0.7640          | 0.9771   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1