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MixGPT2V2_domain_100KP_BFall_fromB_95K_topP_0.75_ratio2.63
AustinCarthy/MixGPT2V2_domain_100KP_BFall_fromB_95K_topP_0.75_ratio2.63
MixGPT2V2_domain_100KP_BFall_fromB_95K_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 19, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023
- SHA
- 8a9a750b
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. -->
MixGPT2V2_domain_100KP_BFall_fromB_95K_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_benign_95K_top_p_0.75domain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0175
- Accuracy: 0.9975
- F1: 0.9734
- Precision: 0.9868
- Recall: 0.9604
- Roc Auc Score: 0.9799
- Tpr At Fpr 0.01: 0.9396
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0155 | 1.0 | 22121 | 0.0174 | 0.9957 | 0.9543 | 0.9590 | 0.9496 | 0.9738 | 0.786 |
| 0.0083 | 2.0 | 44242 | 0.0215 | 0.9959 | 0.9555 | 0.9903 | 0.923 | 0.9613 | 0.888 |
| 0.0046 | 3.0 | 66363 | 0.0144 | 0.9973 | 0.9717 | 0.9779 | 0.9656 | 0.9823 | 0.5986 |
| 0.0019 | 4.0 | 88484 | 0.0192 | 0.9973 | 0.9714 | 0.9828 | 0.9602 | 0.9797 | 0.9344 |
| 0.0011 | 5.0 | 110605 | 0.0175 | 0.9975 | 0.9734 | 0.9868 | 0.9604 | 0.9799 | 0.9396 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- Jun 19, 2023
- Updated
- Jun 19, 2023