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# cloth_classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2829
- Accuracy: 0.6395

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2765        | 1.0   | 3270 | 1.2829          | 0.6395   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1

anorak blazer blouse bomber button-down caftan capris cardigan chinos coat coverup culottes cutoffs dress flannel gauchos halter henley hoodie jacket jeans jeggings jersey jodhpurs joggers jumpsuit kaftan kimono leggings onesie parka peacoat poncho robe romper sarong shorts skirt sweater sweatpants sweatshorts tank tee top trunks turtleneck