
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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: 0.3026
- Accuracy: 1.0

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 1.0940          | 0.25     |
| No log        | 2.0   | 2    | 0.9836          | 0.25     |
| No log        | 3.0   | 3    | 0.7624          | 0.25     |
| No log        | 4.0   | 4    | 0.6527          | 0.5      |
| No log        | 5.0   | 5    | 0.5697          | 0.75     |
| No log        | 6.0   | 6    | 0.5167          | 1.0      |
| No log        | 7.0   | 7    | 0.4898          | 0.75     |
| No log        | 8.0   | 8    | 0.4572          | 0.75     |
| No log        | 9.0   | 9    | 0.4286          | 0.75     |
| 0.299         | 10.0  | 10   | 0.3976          | 0.75     |
| 0.299         | 11.0  | 11   | 0.3678          | 1.0      |
| 0.299         | 12.0  | 12   | 0.3531          | 1.0      |
| 0.299         | 13.0  | 13   | 0.3384          | 1.0      |
| 0.299         | 14.0  | 14   | 0.3264          | 1.0      |
| 0.299         | 15.0  | 15   | 0.3188          | 1.0      |
| 0.299         | 16.0  | 16   | 0.3114          | 1.0      |
| 0.299         | 17.0  | 17   | 0.3083          | 1.0      |
| 0.299         | 18.0  | 18   | 0.3071          | 1.0      |
| 0.299         | 19.0  | 19   | 0.3041          | 1.0      |
| 0.2051        | 20.0  | 20   | 0.3026          | 1.0      |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

canes nocanes