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# vit-base-patch16-224-mascotas-DA

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1356
- Accuracy: 0.9625

## 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: 0.00035
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.3161        | 0.9849 | 49   | 0.1356          | 0.9625   |
| 0.157         | 1.9899 | 99   | 0.1231          | 0.95     |
| 0.1355        | 2.9950 | 149  | 0.1380          | 0.9625   |
| 0.0979        | 4.0    | 199  | 0.2714          | 0.925    |
| 0.0788        | 4.9849 | 248  | 0.2664          | 0.9375   |
| 0.0584        | 5.9095 | 294  | 0.2223          | 0.9375   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1

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