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# fashion-images-gender-age-vit-large-patch16-224-in21k-v2

This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0213
- Accuracy: 0.9939

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1758        | 1.0   | 2447  | 0.0484          | 0.9864   |
| 0.1123        | 2.0   | 4894  | 0.0851          | 0.9800   |
| 0.0922        | 3.0   | 7341  | 0.0341          | 0.9910   |
| 0.0592        | 4.0   | 9788  | 0.0213          | 0.9939   |
| 0.053         | 5.0   | 12235 | 0.0259          | 0.9942   |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3

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