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# gender_mozilla_mel_spec_Vit_swin-tiny-patch4-window7-224_1

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: 0.1463
- Accuracy: 0.9533

## 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: Use 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6887        | 1.0   | 11   | 0.5200          | 0.8367   |
| 0.3893        | 2.0   | 22   | 0.2368          | 0.92     |
| 0.2526        | 3.0   | 33   | 0.1906          | 0.94     |
| 0.1812        | 4.0   | 44   | 0.1990          | 0.93     |
| 0.158         | 5.0   | 55   | 0.2096          | 0.92     |
| 0.1333        | 6.0   | 66   | 0.1821          | 0.9333   |
| 0.1249        | 7.0   | 77   | 0.1546          | 0.95     |
| 0.0678        | 8.0   | 88   | 0.1535          | 0.9567   |
| 0.0524        | 9.0   | 99   | 0.1599          | 0.9433   |
| 0.0359        | 10.0  | 110  | 0.1463          | 0.9533   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0

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