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# clothing_category_model

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: 4.4070
- Accuracy: 0.2103

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.695         | 1.0   | 551  | 4.4070          | 0.2103   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3

accessories apparel set eyewear flip flops fragrance free gifts gloves hair headwear home furnishing innerwear jewellery bags lips loungewear and nightwear makeup mufflers nails perfumes sandal saree scarves shoe accessories bath and body shoes skin skin care socks sports accessories sports equipment stoles ties topwear umbrellas beauty accessories wallets watches water bottle wristbands belts bottomwear cufflinks dress eyes