---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: animalmind-breed-classifier
  results: []
language:
- pt
---

<!-- 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. -->

# animalmind-breed-classifier

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: 0.5476
- Accuracy: 0.8608

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7503        | 1.0   | 515  | 1.5708          | 0.7945   |
| 0.6028        | 2.0   | 1030 | 0.7066          | 0.8554   |
| 0.2734        | 3.0   | 1545 | 0.5432          | 0.8647   |
| 0.1209        | 4.0   | 2060 | 0.5182          | 0.8610   |
| 0.0614        | 5.0   | 2575 | 0.5125          | 0.8610   |
| 0.0335        | 6.0   | 3090 | 0.5184          | 0.8654   |
| 0.0217        | 7.0   | 3605 | 0.5368          | 0.8618   |
| 0.0267        | 8.0   | 4120 | 0.5456          | 0.8593   |
| 0.0179        | 9.0   | 4635 | 0.5433          | 0.8598   |
| 0.0091        | 10.0  | 5150 | 0.5476          | 0.8608   |


### Framework versions

- Transformers 5.12.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2