---
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
  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

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: 0.0472
- Accuracy: 0.9852

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1833        | 1.0   | 5    | 0.9676          | 0.6074   |
| 0.8399        | 2.0   | 10   | 0.5347          | 0.8593   |
| 0.5341        | 3.0   | 15   | 0.2380          | 0.9481   |
| 0.3583        | 4.0   | 20   | 0.1324          | 0.9630   |
| 0.2197        | 5.0   | 25   | 0.1311          | 0.9556   |
| 0.1995        | 6.0   | 30   | 0.0870          | 0.9778   |
| 0.1485        | 7.0   | 35   | 0.1107          | 0.9778   |
| 0.1689        | 8.0   | 40   | 0.0798          | 0.9778   |
| 0.1339        | 9.0   | 45   | 0.0588          | 0.9852   |
| 0.1623        | 10.0  | 50   | 0.0620          | 0.9778   |


### Framework versions

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