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

This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4098
- Accuracy: 0.4539

## 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: 1e-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: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.5265        | 1.0     | 20   | 1.6373          | 0.2214   |
| 1.455         | 2.0     | 40   | 1.5808          | 0.2546   |
| 1.41          | 3.0     | 60   | 1.5281          | 0.2620   |
| 1.3791        | 4.0     | 80   | 1.4928          | 0.3026   |
| 1.3496        | 5.0     | 100  | 1.4662          | 0.3395   |
| 1.3218        | 6.0     | 120  | 1.4461          | 0.3985   |
| 1.3146        | 7.0     | 140  | 1.4331          | 0.4207   |
| 1.298         | 8.0     | 160  | 1.4245          | 0.4391   |
| 1.2922        | 9.0     | 180  | 1.4168          | 0.4502   |
| 1.3002        | 10.0    | 200  | 1.4121          | 0.4502   |
| 1.279         | 11.0    | 220  | 1.4101          | 0.4502   |
| 1.279         | 11.4156 | 228  | 1.4098          | 0.4539   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

unlabeled cyst normal stone tumor