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# fashion-images-gender-age-vit-large-patch16-384-v1

This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0306
- Accuracy: 0.9951

## 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: 8
- eval_batch_size: 8
- seed: 1337
- 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
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.084         | 1.0   | 2457  | 0.0423          | 0.9905   |
| 0.0233        | 2.0   | 4914  | 0.0353          | 0.9928   |
| 0.009         | 3.0   | 7371  | 0.0404          | 0.9942   |
| 0.0056        | 4.0   | 9828  | 0.0312          | 0.9951   |
| 0.0           | 5.0   | 12285 | 0.0306          | 0.9951   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

model-female-adult model-female-child model-male-adult model-male-child pack