metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-phising-classifier-teacher
results: []
bert-phising-classifier-teacher
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3006
- Accuracy: 0.87
- Auc: 0.953
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.4732 | 1.0 | 350 | 0.3613 | 0.83 | 0.921 |
| 0.3752 | 2.0 | 700 | 0.3591 | 0.853 | 0.938 |
| 0.338 | 3.0 | 1050 | 0.3097 | 0.862 | 0.944 |
| 0.3368 | 4.0 | 1400 | 0.2967 | 0.867 | 0.947 |
| 0.3458 | 5.0 | 1750 | 0.3043 | 0.877 | 0.949 |
| 0.3303 | 6.0 | 2100 | 0.3197 | 0.855 | 0.95 |
| 0.3172 | 7.0 | 2450 | 0.3629 | 0.852 | 0.952 |
| 0.3147 | 8.0 | 2800 | 0.2844 | 0.872 | 0.952 |
| 0.3063 | 9.0 | 3150 | 0.2864 | 0.883 | 0.953 |
| 0.3145 | 10.0 | 3500 | 0.3006 | 0.87 | 0.953 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1