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OnlyPhishGPT2_Domain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63
AustinCarthy/OnlyPhishGPT2_Domain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63
OnlyPhishGPT2_Domain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63 is a machine learning model from AustinCarthy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Jun 9, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 9, 2023
- Updated
- Jun 9, 2023
- SHA
- 2508d9d7
Model card
From the Hugging Face model README
<!-- 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. -->
OnlyPhishGPT2_Domain_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_OnlyPhishGPT2_using_phish_95K_top_p_0.75_domain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0235
- Accuracy: 0.9979
- F1: 0.9774
- Precision: 0.9975
- Recall: 0.958
- Roc Auc Score: 0.9789
- Tpr At Fpr 0.01: 0.9572
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
- mixed_precision_training: Native AMP
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 | 0.0118 | 0.9976 | 0.9739 | 0.9929 | 0.9556 | 0.9776 | 0.924 |
| 0.0024 | 2.0 | 43108 | 0.0093 | 0.9979 | 0.9773 | 0.9958 | 0.9594 | 0.9796 | 0.9526 |
| 0.0009 | 3.0 | 64662 | 0.0182 | 0.9979 | 0.9776 | 0.9938 | 0.962 | 0.9808 | 0.9452 |
| 0.0005 | 4.0 | 86216 | 0.0209 | 0.9977 | 0.9757 | 0.9973 | 0.955 | 0.9774 | 0.9526 |
| 0.0008 | 5.0 | 107770 | 0.0235 | 0.9979 | 0.9774 | 0.9975 | 0.958 | 0.9789 | 0.9572 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
- License
- apache-2.0
- Created
- Jun 9, 2023
- Updated
- Jun 9, 2023