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# vit-base-pets

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3168
- Accuracy: 0.9432

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5136        | 1.0   | 47   | 1.1031          | 0.8430   |
| 0.5547        | 2.0   | 94   | 0.5232          | 0.9269   |
| 0.4111        | 3.0   | 141  | 0.3988          | 0.9310   |
| 0.3438        | 4.0   | 188  | 0.3553          | 0.9337   |
| 0.298         | 5.0   | 235  | 0.3448          | 0.9296   |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2

american pit bull terrier dog maine coon cat german shorthaired dog abyssinian cat havanese dog pomeranian dog newfoundland dog egyptian mau cat russian blue cat bombay cat leonberger dog persian cat english setter dog samoyed dog keeshond dog scottish terrier dog shiba inu dog staffordshire bull terrier dog basset hound dog siamese cat pug dog miniature pinscher dog japanese chin dog birman cat chihuahua dog bengal cat beagle dog sphynx cat saint bernard dog ragdoll cat boxer dog wheaten terrier dog great pyrenees dog american bulldog dog english cocker spaniel dog british shorthair cat yorkshire terrier dog