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# 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:
- Loss: 0.0675
- Accuracy: 0.9765

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2428        | 1.0   | 537  | 0.1768          | 0.9302   |
| 0.1877        | 2.0   | 1074 | 0.1141          | 0.9551   |
| 0.1574        | 3.0   | 1611 | 0.1359          | 0.9461   |
| 0.1412        | 4.0   | 2148 | 0.1245          | 0.9522   |
| 0.1289        | 5.0   | 2685 | 0.0774          | 0.9705   |
| 0.1116        | 6.0   | 3222 | 0.0889          | 0.9663   |
| 0.1091        | 7.0   | 3759 | 0.0800          | 0.9717   |
| 0.1096        | 8.0   | 4296 | 0.0665          | 0.9757   |
| 0.0996        | 9.0   | 4833 | 0.0708          | 0.9747   |
| 0.0992        | 10.0  | 5370 | 0.0675          | 0.9765   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

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