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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: 1.1290
- Accuracy: 0.5523

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.2513        | 1.0    | 35   | 1.2502          | 0.4862   |
| 1.1966        | 2.0    | 70   | 1.2707          | 0.4936   |
| 1.2163        | 3.0    | 105  | 1.1919          | 0.5468   |
| 1.098         | 4.0    | 140  | 1.1604          | 0.5284   |
| 1.1705        | 5.0    | 175  | 1.1649          | 0.5193   |
| 1.0887        | 6.0    | 210  | 1.1538          | 0.5450   |
| 1.1253        | 7.0    | 245  | 1.1397          | 0.5486   |
| 1.0148        | 8.0    | 280  | 1.1312          | 0.5505   |
| 1.1047        | 9.0    | 315  | 1.1376          | 0.5486   |
| 1.1108        | 9.7299 | 340  | 1.1290          | 0.5523   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1

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