<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
MixGPT2V2_subdomain_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_0.75subdomain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0447
- Accuracy: 0.9978
- F1: 0.9762
- Precision: 0.9990
- Recall: 0.9544
- Roc Auc Score: 0.9772
- Tpr At Fpr 0.01: 0.9626
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0222 | 1.0 | 17813 | 0.0400 | 0.9973 | 0.9708 | 0.9964 | 0.9464 | 0.9731 | 0.9156 |
| 0.0107 | 2.0 | 35626 | 0.0385 | 0.9975 | 0.9734 | 0.9971 | 0.9508 | 0.9753 | 0.9448 |
| 0.006 | 3.0 | 53439 | 0.0411 | 0.9976 | 0.9740 | 0.9981 | 0.951 | 0.9755 | 0.9534 |
| 0.0016 | 4.0 | 71252 | 0.0408 | 0.9977 | 0.9753 | 0.9994 | 0.9524 | 0.9762 | 0.9638 |
| 0.0 | 5.0 | 89065 | 0.0447 | 0.9978 | 0.9762 | 0.9990 | 0.9544 | 0.9772 | 0.9626 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
