| | --- |
| | 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: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bert-phising-classifier-teacher |
| |
|
| | This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/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 |
| |
|
