---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-brain-abnormalities-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. -->

# swin-brain-abnormalities-classification

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2461
- Accuracy: 0.9273

## 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: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.928         | 0.9892  | 23   | 0.6080          | 0.7705   |
| 0.508         | 1.9785  | 46   | 0.2402          | 0.9162   |
| 0.3178        | 2.9677  | 69   | 0.2121          | 0.9246   |
| 0.2338        | 4.0     | 93   | 0.2045          | 0.9363   |
| 0.1788        | 4.9892  | 116  | 0.2443          | 0.9296   |
| 0.1675        | 5.9785  | 139  | 0.1457          | 0.9430   |
| 0.155         | 6.9677  | 162  | 0.1708          | 0.9514   |
| 0.1316        | 8.0     | 186  | 0.1555          | 0.9531   |
| 0.1099        | 8.9892  | 209  | 0.1732          | 0.9531   |
| 0.1121        | 9.9785  | 232  | 0.1358          | 0.9581   |
| 0.1007        | 10.9677 | 255  | 0.2155          | 0.9514   |
| 0.0951        | 12.0    | 279  | 0.1506          | 0.9648   |
| 0.0841        | 12.9892 | 302  | 0.1921          | 0.9531   |
| 0.0778        | 13.9785 | 325  | 0.2041          | 0.9531   |
| 0.0768        | 14.8387 | 345  | 0.1909          | 0.9548   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0