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Benign10MGPT2_suffix_100KP_BFall_fromP_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_Benign10MGPT2_using_phish_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0279
- Accuracy: 0.9973
- F1: 0.9713
- Precision: 0.9952
- Recall: 0.9486
- Roc Auc Score: 0.9742
- Tpr At Fpr 0.01: 0.9312
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.012 | 1.0 | 21554 | 0.0211 | 0.9957 | 0.9527 | 0.9897 | 0.9184 | 0.9590 | 0.8804 |
| 0.0061 | 2.0 | 43108 | 0.0153 | 0.9974 | 0.9720 | 0.9923 | 0.9526 | 0.9761 | 0.9194 |
| 0.0027 | 3.0 | 64662 | 0.0132 | 0.9970 | 0.9674 | 0.9939 | 0.9422 | 0.9710 | 0.9008 |
| 0.0021 | 4.0 | 86216 | 0.0212 | 0.9975 | 0.9731 | 0.9913 | 0.9556 | 0.9776 | 0.9046 |
| 0.0 | 5.0 | 107770 | 0.0279 | 0.9973 | 0.9713 | 0.9952 | 0.9486 | 0.9742 | 0.9312 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
