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MixGPT2V2_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_MixGPT2V2_using_phish_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0235
- Accuracy: 0.9979
- F1: 0.9775
- Precision: 0.9983
- Recall: 0.9576
- Roc Auc Score: 0.9788
- Tpr At Fpr 0.01: 0.9582
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0068 | 1.0 | 21554 | 0.0182 | 0.9966 | 0.9635 | 0.9928 | 0.9358 | 0.9677 | 0.8632 |
| 0.0046 | 2.0 | 43108 | 0.0115 | 0.9981 | 0.9794 | 0.9932 | 0.966 | 0.9828 | 0.942 |
| 0.0012 | 3.0 | 64662 | 0.0124 | 0.9979 | 0.9774 | 0.9881 | 0.9668 | 0.9831 | 0.926 |
| 0.0016 | 4.0 | 86216 | 0.0126 | 0.9982 | 0.9804 | 0.9944 | 0.9668 | 0.9833 | 0.9552 |
| 0.0006 | 5.0 | 107770 | 0.0235 | 0.9979 | 0.9775 | 0.9983 | 0.9576 | 0.9788 | 0.9582 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
