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# Deexit/swin-tiny-patch4-window7-224-finetuned-eurosat

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:
- Train Loss: 1.9176
- Validation Loss: 3.2903
- Validation Accuracy: 0.0
- Epoch: 13

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:---------------:|:-------------------:|:-----:|
| 2.7734     | 2.7408          | 0.0                 | 0     |
| 2.4056     | 2.7463          | 0.0                 | 1     |
| 2.1880     | 2.7762          | 0.0                 | 2     |
| 2.0477     | 2.8285          | 0.0                 | 3     |
| 2.1556     | 2.8884          | 0.0                 | 4     |
| 2.0269     | 2.9569          | 0.0                 | 5     |
| 1.7258     | 3.0337          | 0.0                 | 6     |
| 2.3555     | 3.1071          | 0.0                 | 7     |
| 1.8657     | 3.1494          | 0.0                 | 8     |
| 1.8121     | 3.1848          | 0.0                 | 9     |
| 1.9192     | 3.2109          | 0.0                 | 10    |
| 1.9925     | 3.2335          | 0.0                 | 11    |
| 2.0157     | 3.2654          | 0.0                 | 12    |
| 1.9176     | 3.2903          | 0.0                 | 13    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.13.0
- Datasets 2.14.3
- Tokenizers 0.13.3

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