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MixGPT2V2_suffix_100KP_BFall_fromB_95K_topP_0.75_ratio5
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_benign_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0230
- Accuracy: 0.9970
- F1: 0.9681
- Precision: 0.9922
- Recall: 0.9452
- Roc Auc Score: 0.9724
- Tpr At Fpr 0.01: 0.8938
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0163 | 1.0 | 36563 | 0.0268 | 0.9946 | 0.9412 | 0.9784 | 0.9068 | 0.9529 | 0.7646 |
| 0.0092 | 2.0 | 73126 | 0.0241 | 0.9954 | 0.9501 | 0.9848 | 0.9178 | 0.9585 | 0.8234 |
| 0.0041 | 3.0 | 109689 | 0.0245 | 0.9962 | 0.9591 | 0.9898 | 0.9302 | 0.9649 | 0.863 |
| 0.002 | 4.0 | 146252 | 0.0195 | 0.9971 | 0.9686 | 0.9920 | 0.9462 | 0.9729 | 0.8586 |
| 0.001 | 5.0 | 182815 | 0.0230 | 0.9970 | 0.9681 | 0.9922 | 0.9452 | 0.9724 | 0.8938 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
