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MixGPT2V2_domain_100KP_BFall_fromP_95K_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_MixGPT2V2_using_phish_95K_top_p_0.75domain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0437
- Accuracy: 0.9977
- F1: 0.9749
- Precision: 0.9990
- Recall: 0.952
- Roc Auc Score: 0.9760
- Tpr At Fpr 0.01: 0.9566
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0209 | 1.0 | 11061 | 0.0374 | 0.9974 | 0.9719 | 0.9902 | 0.9542 | 0.9769 | 0.9004 |
| 0.013 | 2.0 | 22122 | 0.0702 | 0.9954 | 0.9499 | 0.9976 | 0.9066 | 0.9532 | 0.8978 |
| 0.0031 | 3.0 | 33183 | 0.0449 | 0.9975 | 0.9726 | 0.9992 | 0.9474 | 0.9737 | 0.9504 |
| 0.0017 | 4.0 | 44244 | 0.0360 | 0.9979 | 0.9780 | 0.9975 | 0.9592 | 0.9795 | 0.954 |
| 0.0 | 5.0 | 55305 | 0.0437 | 0.9977 | 0.9749 | 0.9990 | 0.952 | 0.9760 | 0.9566 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
