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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 the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0367
- Accuracy: 0.9879

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1993        | 0.9904 | 77   | 0.0961          | 0.9617   |
| 0.1729        | 1.9936 | 155  | 0.1151          | 0.9486   |
| 0.1509        | 2.9968 | 233  | 0.0603          | 0.9748   |
| 0.1081        | 4.0    | 311  | 0.0367          | 0.9879   |
| 0.1195        | 4.9904 | 388  | 0.0936          | 0.9627   |
| 0.0674        | 5.9936 | 466  | 0.0370          | 0.9849   |
| 0.0629        | 6.9968 | 544  | 0.0400          | 0.9839   |
| 0.0718        | 8.0    | 622  | 0.0496          | 0.9839   |
| 0.0335        | 8.9904 | 699  | 0.0533          | 0.9819   |
| 0.0843        | 9.9035 | 770  | 0.0550          | 0.9809   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

clear cloudy