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MixGPT2V2_domain_100KP_BFall_fromP_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_phish_95K_top_p_0.75domain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0476
- Accuracy: 0.9976
- F1: 0.9743
- Precision: 0.9989
- Recall: 0.9508
- Roc Auc Score: 0.9754
- Tpr At Fpr 0.01: 0.9578
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0142 | 1.0 | 18282 | 0.0353 | 0.9976 | 0.9738 | 0.9971 | 0.9516 | 0.9757 | 0.9462 |
| 0.0092 | 2.0 | 36564 | 0.0423 | 0.9973 | 0.9713 | 0.9968 | 0.947 | 0.9734 | 0.9446 |
| 0.0033 | 3.0 | 54846 | 0.0431 | 0.9975 | 0.9732 | 0.9987 | 0.949 | 0.9745 | 0.9516 |
| 0.0005 | 4.0 | 73128 | 0.0438 | 0.9976 | 0.9737 | 0.9981 | 0.9504 | 0.9752 | 0.953 |
| 0.0 | 5.0 | 91410 | 0.0476 | 0.9976 | 0.9743 | 0.9989 | 0.9508 | 0.9754 | 0.9578 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
