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OnlyPhishGPT2_subdomain_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_OnlyPhishGPT2_using_benigh_200K_top_p_0.75 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0187
- Accuracy: 0.9980
- F1: 0.9791
- Precision: 0.9967
- Recall: 0.9622
- Roc Auc Score: 0.9810
- Tpr At Fpr 0.01: 0.96
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0082 | 1.0 | 21554 | 0.0150 | 0.9968 | 0.9658 | 0.9964 | 0.937 | 0.9684 | 0.9284 |
| 0.0048 | 2.0 | 43108 | 0.0103 | 0.9979 | 0.9772 | 0.9944 | 0.9606 | 0.9802 | 0.9442 |
| 0.0025 | 3.0 | 64662 | 0.0157 | 0.9980 | 0.9788 | 0.9952 | 0.9628 | 0.9813 | 0.9552 |
| 0.0012 | 4.0 | 86216 | 0.0177 | 0.9979 | 0.9774 | 0.9979 | 0.9578 | 0.9789 | 0.9562 |
| 0.0 | 5.0 | 107770 | 0.0187 | 0.9980 | 0.9791 | 0.9967 | 0.9622 | 0.9810 | 0.96 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
