
<!-- 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. -->

# vit-base-patch16-224-perros-y-gatos

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: 0.1577
- Accuracy: 1.0

## 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: 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.8889 | 6    | 0.6543          | 0.5789   |
| 0.5484        | 1.9259 | 13   | 0.3385          | 0.8421   |
| 0.5484        | 2.9630 | 20   | 0.2123          | 0.9474   |
| 0.2164        | 4.0    | 27   | 0.1577          | 1.0      |
| 0.2164        | 4.8889 | 33   | 0.1404          | 1.0      |
| 0.1367        | 5.9259 | 40   | 0.1375          | 0.9474   |
| 0.1367        | 6.9630 | 47   | 0.1312          | 1.0      |
| 0.1155        | 8.0    | 54   | 0.1140          | 1.0      |
| 0.0878        | 8.8889 | 60   | 0.1107          | 1.0      |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

gato perro