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Benign10MGPT2_suffix_100KP_BFall_fromP_90K_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_Benign10MGPT2_using_phish_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0237
- Accuracy: 0.9974
- F1: 0.9721
- Precision: 0.9981
- Recall: 0.9474
- Roc Auc Score: 0.9737
- Tpr At Fpr 0.01: 0.9508
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 |
---|---|---|---|---|---|---|---|---|---|
0.0067 | 1.0 | 35625 | 0.0182 | 0.9962 | 0.9584 | 0.9946 | 0.9248 | 0.9623 | 0.9022 |
0.0043 | 2.0 | 71250 | 0.0174 | 0.997 | 0.9677 | 0.9941 | 0.9426 | 0.9712 | 0.9192 |
0.0031 | 3.0 | 106875 | 0.0216 | 0.9972 | 0.9699 | 0.9968 | 0.9444 | 0.9721 | 0.9328 |
0.0004 | 4.0 | 142500 | 0.0221 | 0.9973 | 0.9706 | 0.9979 | 0.9448 | 0.9723 | 0.9444 |
0.0 | 5.0 | 178125 | 0.0237 | 0.9974 | 0.9721 | 0.9981 | 0.9474 | 0.9737 | 0.9508 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3