---
tags:
- generated_from_keras_callback
model-index:
- name: jjpetrisko/authentiface_v1.0f
  results: []
---

<!-- 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. -->

# jjpetrisko/authentiface_v1.0f


## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 13356700, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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

| Epoch | Train Loss | Validation Loss | Validation Accuracy |
|:-----:|:----------:|:---------------:|:-------------------:|
|   1   |   0.3307   |     0.2049      |       0.9166        |
|   2   |   0.1693   |     0.1199      |       0.9548        |
|   3   |   0.1128   |     0.0903      |       0.9658        |
|   4   |   0.0825   |     0.0644      |       0.9768        |
|   5   |   0.0641   |     0.0539      |       0.9805        |
|   6   |   0.0520   |     0.0560      |       0.9797        |
|   7   |   0.0406   |     0.0401      |       0.9855        |
|   8   |   0.0345   |     0.0343      |       0.9876        |
|   9   |   0.0304   |     0.0302      |       0.9894        |
|  10   |   0.0248   |     0.0300      |       0.9897        |
|  11   |   0.0222   |     0.0290      |       0.9894        |
|  12   |   0.0202   |     0.0329      |       0.9882        |
|  13   |   0.0175   |     0.0276      |       0.9909        |
|  14   |   0.0162   |     0.0263      |       0.9921        |
|  15   |   0.0154   |     0.0273      |       0.9913        |
|  16   |   0.0139   |     0.0236      |       0.9917        |
|  17   |   0.0125   |     0.0500      |       0.9842        |
|  18   |   0.0109   |     0.0236      |       0.9919        |
|  19   |   0.0096   |     0.0332      |       0.9894        |
|  20   |   0.0097   |     0.0272      |       0.9923        |
|  21   |   0.0092   |     0.0240      |       0.9931        |
|  22   |   0.0086   |     0.0254      |       0.9923        |
|  23   |   0.0079   |     0.0287      |       0.9916        |
|  24   |   0.0076   |     0.0338      |       0.9900        |
|  25   |   0.0070   |     0.0254      |       0.9926        |
|  26   |   0.0066   |     0.0266      |       0.9918        |
|  27   |   0.0065   |     0.0284      |       0.9925        |
|  28   |   0.0063   |     0.0268      |       0.9927        |



### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2