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Benign10MGPT2_domain_100KP_BFall_fromB_90K_topP_0.75_ratio2.63
This model is a fine-tuned version of bert-base-uncased on the Train benign: Fall,Test Benign: Fall, Train phish: Fall, Test phish: Fall, generated url dataset: generated_phish_Benign10MGPT2_using_benign_95K_top_p_0.75domain dataset. It achieves the following results on the evaluation set:
- Loss: 0.1054
- Accuracy: 0.9794
- F1: 0.8143
- Precision: 0.7147
- Recall: 0.9462
- Roc Auc Score: 0.9637
- Tpr At Fpr 0.01: 0.6968
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc Score | Tpr At Fpr 0.01 |
|---|---|---|---|---|---|---|---|---|---|
| 0.1248 | 1.0 | 21554 | 0.0671 | 0.9812 | 0.8187 | 0.7579 | 0.8902 | 0.9380 | 0.7268 |
| 0.1017 | 2.0 | 43108 | 0.0643 | 0.9816 | 0.8301 | 0.7394 | 0.9462 | 0.9648 | 0.7754 |
| 0.0777 | 3.0 | 64662 | 0.0640 | 0.9827 | 0.8379 | 0.7574 | 0.9376 | 0.9613 | 0.7482 |
| 0.058 | 4.0 | 86216 | 0.0830 | 0.9812 | 0.8281 | 0.7337 | 0.9504 | 0.9666 | 0.7248 |
| 0.0375 | 5.0 | 107770 | 0.1054 | 0.9794 | 0.8143 | 0.7147 | 0.9462 | 0.9637 | 0.6968 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
