---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: frncscp/patacoptimus-prime
  results: []
datasets:
- frncscp/patacon-730
metrics:
- accuracy
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# frncscp/patacoptimus-prime

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on [frncscp/patacon-730](https://huggingface.co/datasets/frncscp/patacon-730).
It achieves the following results on the evaluation set:
- Train Loss: 0.0043
- Validation Loss: 0.0086
- Train Accuracy: 0.9977
- Epoch: 14

## Model description

One-Class Patacognition Transformer  

## Intended uses & limitations

It was designed for One-Class Patacón Classification

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 34960, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.0064     | 0.0079          | 0.9977         | 0     |
| 0.0043     | 0.0086          | 0.9977         | 1     |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3