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# swin-ena24

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the ena24 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1460
- Accuracy: 0.9695

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.679         | 0.1302 | 100  | 1.2075          | 0.6573   |
| 0.9674        | 0.2604 | 200  | 0.7625          | 0.7809   |
| 0.8194        | 0.3906 | 300  | 0.7240          | 0.7931   |
| 0.5756        | 0.5208 | 400  | 0.6613          | 0.8023   |
| 0.5796        | 0.6510 | 500  | 0.3928          | 0.8947   |
| 0.5275        | 0.7812 | 600  | 0.4274          | 0.8863   |
| 0.1931        | 0.9115 | 700  | 0.4006          | 0.8908   |
| 0.254         | 1.0417 | 800  | 0.2949          | 0.9237   |
| 0.1321        | 1.1719 | 900  | 0.2565          | 0.9420   |
| 0.1888        | 1.3021 | 1000 | 0.2155          | 0.9466   |
| 0.0558        | 1.4323 | 1100 | 0.2289          | 0.9420   |
| 0.0824        | 1.5625 | 1200 | 0.1732          | 0.9634   |
| 0.1455        | 1.6927 | 1300 | 0.1689          | 0.9649   |
| 0.1453        | 1.8229 | 1400 | 0.1596          | 0.9672   |
| 0.0403        | 1.9531 | 1500 | 0.1460          | 0.9695   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0

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