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# swin-tiny-patch4-window7-224-ve-U11-b-12

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: 0.9473
- Accuracy: 0.5435

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.92  | 6    | 1.3839          | 0.1304   |
| 1.3821        | 2.0   | 13   | 1.3524          | 0.2391   |
| 1.3821        | 2.92  | 19   | 1.2898          | 0.3043   |
| 1.2875        | 4.0   | 26   | 1.1721          | 0.4348   |
| 1.1072        | 4.92  | 32   | 1.1018          | 0.4348   |
| 1.1072        | 6.0   | 39   | 1.0327          | 0.4783   |
| 0.9941        | 6.92  | 45   | 0.9920          | 0.4565   |
| 0.9132        | 8.0   | 52   | 0.9473          | 0.5435   |
| 0.9132        | 8.92  | 58   | 0.9522          | 0.5217   |
| 0.849         | 10.0  | 65   | 0.9478          | 0.5217   |
| 0.8124        | 10.92 | 71   | 0.9506          | 0.5217   |
| 0.8124        | 11.08 | 72   | 0.9505          | 0.5217   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0

avanzada leve moderada no dmae