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# swinv2-tiny-patch4-window8-256-dmae-humeda-DAV42

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0626
- Accuracy: 0.6932

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 2    | 1.5027          | 0.4091   |
| No log        | 2.0   | 4    | 1.3949          | 0.4545   |
| No log        | 3.0   | 6    | 1.2983          | 0.4659   |
| No log        | 4.0   | 8    | 1.2602          | 0.4773   |
| No log        | 5.0   | 10   | 1.2465          | 0.5568   |
| 8.9015        | 6.0   | 12   | 1.2463          | 0.6136   |
| 8.9015        | 7.0   | 14   | 1.2369          | 0.6136   |
| 8.9015        | 8.0   | 16   | 1.2061          | 0.6136   |
| 8.9015        | 9.0   | 18   | 1.1656          | 0.6477   |
| 8.9015        | 10.0  | 20   | 1.1330          | 0.6705   |
| 8.9015        | 11.0  | 22   | 1.1127          | 0.6818   |
| 7.6818        | 12.0  | 24   | 1.0981          | 0.6818   |
| 7.6818        | 13.0  | 26   | 1.0913          | 0.7045   |
| 7.6818        | 14.0  | 28   | 1.0857          | 0.6932   |
| 7.6818        | 15.0  | 30   | 1.0804          | 0.6932   |
| 7.6818        | 16.0  | 32   | 1.0732          | 0.6932   |
| 7.6818        | 17.0  | 34   | 1.0684          | 0.6932   |
| 7.0174        | 18.0  | 36   | 1.0644          | 0.6932   |
| 7.0174        | 19.0  | 38   | 1.0629          | 0.6932   |
| 7.0174        | 20.0  | 40   | 1.0626          | 0.6932   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0

avanzada avanzada humeda leve moderada no dmae