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MixGPT2_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_MixGPT2_using_benigh_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0234
- Accuracy: 0.9975
- F1: 0.9731
- Precision: 0.9985
- Recall: 0.949
- Roc Auc Score: 0.9745
- Tpr At Fpr 0.01: 0.9546
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0054 | 1.0 | 21554 | 0.0145 | 0.997 | 0.9676 | 0.9972 | 0.9396 | 0.9697 | 0.9348 |
| 0.0041 | 2.0 | 43108 | 0.0160 | 0.9974 | 0.9718 | 0.9975 | 0.9474 | 0.9736 | 0.9366 |
| 0.0019 | 3.0 | 64662 | 0.0142 | 0.9977 | 0.9755 | 0.9969 | 0.955 | 0.9774 | 0.9438 |
| 0.0009 | 4.0 | 86216 | 0.0135 | 0.9982 | 0.9803 | 0.9946 | 0.9664 | 0.9831 | 0.9522 |
| 0.0001 | 5.0 | 107770 | 0.0234 | 0.9975 | 0.9731 | 0.9985 | 0.949 | 0.9745 | 0.9546 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
