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# swin-tiny-patch4-window7-224-finetuned-cloudy

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: 0.0694
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.2993          | 0.8182   |
| No log        | 2.0   | 3    | 0.1963          | 0.9091   |
| No log        | 3.0   | 5    | 0.1130          | 0.9091   |
| No log        | 4.0   | 6    | 0.0694          | 1.0      |
| No log        | 5.0   | 7    | 0.0569          | 1.0      |
| No log        | 6.0   | 9    | 0.0902          | 0.9091   |
| 0.08          | 7.0   | 11   | 0.0973          | 0.9091   |
| 0.08          | 8.0   | 12   | 0.0746          | 1.0      |
| 0.08          | 9.0   | 13   | 0.0527          | 1.0      |
| 0.08          | 10.0  | 15   | 0.0392          | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

clear cloudy