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MixGPT2V2_suffix_100KP_BFall_fromB_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_MixGPT2V2_using_benign_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0509
- Accuracy: 0.9972
- F1: 0.9702
- Precision: 0.9890
- Recall: 0.9522
- Roc Auc Score: 0.9758
- Tpr At Fpr 0.01: 0.9204
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0583 | 1.0 | 17813 | 0.0598 | 0.9957 | 0.9554 | 0.9482 | 0.9628 | 0.9801 | 0.8854 |
| 0.0326 | 2.0 | 35626 | 0.0449 | 0.9969 | 0.9670 | 0.9789 | 0.9554 | 0.9772 | 0.8896 |
| 0.0162 | 3.0 | 53439 | 0.0463 | 0.997 | 0.9677 | 0.9928 | 0.9438 | 0.9717 | 0.8946 |
| 0.0046 | 4.0 | 71252 | 0.0525 | 0.9970 | 0.9673 | 0.9916 | 0.9442 | 0.9719 | 0.9114 |
| 0.0036 | 5.0 | 89065 | 0.0509 | 0.9972 | 0.9702 | 0.9890 | 0.9522 | 0.9758 | 0.9204 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
