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# vit-base-patch16-224-in21k-Dog-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 the imagewoof dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5386
- Accuracy: 0.9524

## Model description

Based on the [frgfm/imagewoof dataset](https://huggingface.co/datasets/frgfm/imagewoof), it can categorize ten types of dogs such as Shih-Tzu, Rhodesian ridgeback, Beagle, English foxhound, Border terrier, Australian terrier, Golden retriever, Old English sheepdog, Samoyed, Dingo.

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2356        | 0.99  | 63   | 1.0520          | 0.9059   |
| 0.6987        | 2.0   | 127  | 0.6162          | 0.9446   |
| 0.5787        | 2.98  | 189  | 0.5386          | 0.9524   |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.0+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3

shih-tzu rhodesian ridgeback beagle english foxhound border terrier australian terrier golden retriever old english sheepdog samoyed dingo