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OnlyPhishGPT2_subdomain_100KP_BFall_fromB_200K_topP_0.75_ratio1.67
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: 0.0226
- Accuracy: 0.9982
- F1: 0.9804
- Precision: 0.9942
- Recall: 0.967
- Roc Auc Score: 0.9834
- Tpr At Fpr 0.01: 0.948
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0093 | 1.0 | 25032 | 0.0107 | 0.9976 | 0.9750 | 0.9879 | 0.9624 | 0.9809 | 0.9334 |
| 0.0039 | 2.0 | 50064 | 0.0173 | 0.9973 | 0.9704 | 0.9975 | 0.9448 | 0.9723 | 0.9434 |
| 0.0019 | 3.0 | 75096 | 0.0163 | 0.9979 | 0.9771 | 0.9967 | 0.9582 | 0.9790 | 0.9536 |
| 0.001 | 4.0 | 100128 | 0.0216 | 0.9979 | 0.9773 | 0.9981 | 0.9574 | 0.9787 | 0.9576 |
| 0.0009 | 5.0 | 125160 | 0.0226 | 0.9982 | 0.9804 | 0.9942 | 0.967 | 0.9834 | 0.948 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
