---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21K
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Main_Fashion
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Main_Fashion

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: 0.7633
- Accuracy: 0.6961

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.934         | 0.9259 | 100  | 0.9492          | 0.7030   |
| 0.9191        | 1.8519 | 200  | 0.7838          | 0.7401   |
| 0.7774        | 2.7778 | 300  | 0.8152          | 0.7123   |
| 0.5743        | 3.7037 | 400  | 0.7249          | 0.7100   |
| 0.5145        | 4.6296 | 500  | 0.7721          | 0.7077   |
| 0.4713        | 5.5556 | 600  | 0.7182          | 0.7146   |
| 0.4397        | 6.4815 | 700  | 0.7633          | 0.6961   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1