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# swin-small-patch4-window7-224-finetuned-eurosat

This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9061
- Accuracy: 0.7232

## 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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1265        | 1.0   | 77   | 1.1283          | 0.6531   |
| 1.0442        | 2.0   | 154  | 1.0860          | 0.6568   |
| 1.0043        | 3.0   | 231  | 1.0477          | 0.6605   |
| 0.9986        | 4.0   | 308  | 1.0174          | 0.6900   |
| 1.0202        | 5.0   | 385  | 0.9889          | 0.6863   |
| 0.9499        | 6.0   | 462  | 0.9659          | 0.7011   |
| 0.9138        | 7.0   | 539  | 0.9453          | 0.7122   |
| 0.9211        | 8.0   | 616  | 0.9305          | 0.7122   |
| 0.9263        | 9.0   | 693  | 0.9194          | 0.7196   |
| 0.8678        | 10.0  | 770  | 0.9114          | 0.7232   |
| 0.9109        | 11.0  | 847  | 0.9071          | 0.7196   |
| 0.9316        | 12.0  | 924  | 0.9061          | 0.7232   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.0

unlabeled cyst normal stone tumor