---
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-plane-classification-fold3
  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-plane-classification-fold3

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: 0.0892
- Accuracy: 0.9873

## 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.2983        | 0.8    | 3    | 0.9322          | 0.6306   |
| 0.6876        | 1.8667 | 7    | 0.4608          | 0.9045   |
| 0.4407        | 2.9333 | 11   | 0.2557          | 0.9490   |
| 0.3328        | 4.0    | 15   | 0.1691          | 0.9427   |
| 0.3564        | 4.8    | 18   | 0.1325          | 0.9682   |
| 0.1984        | 5.8667 | 22   | 0.1049          | 0.9809   |
| 0.1741        | 6.9333 | 26   | 0.0946          | 0.9873   |
| 0.1698        | 8.0    | 30   | 0.0892          | 0.9873   |


### Framework versions

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