---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: PlengP/phishoff-bert-300k
  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. -->

# PlengP/phishoff-bert-300k

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0051
- Train Accuracy: 0.9982
- Epoch: 9

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 0.0979     | 0.9622         | 0     |
| 0.0504     | 0.9815         | 1     |
| 0.0305     | 0.9888         | 2     |
| 0.0186     | 0.9934         | 3     |
| 0.0122     | 0.9958         | 4     |
| 0.0097     | 0.9966         | 5     |
| 0.0074     | 0.9976         | 6     |
| 0.0062     | 0.9979         | 7     |
| 0.0053     | 0.9983         | 8     |
| 0.0051     | 0.9982         | 9     |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Tokenizers 0.13.3