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MixGPT2V2_suffix_100KP_BFall_fromP_95K_topP_0.75_ratio2.63
AustinCarthy/MixGPT2V2_suffix_100KP_BFall_fromP_95K_topP_0.75_ratio2.63
MixGPT2V2_suffix_100KP_BFall_fromP_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 21, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 21, 2023
- Updated
- Jun 21, 2023
- SHA
- a32d769e
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_suffix_100KP_BFall_fromP_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_phish_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.0424
- Accuracy: 0.9979
- F1: 0.9770
- Precision: 0.9973
- Recall: 0.9576
- Roc Auc Score: 0.9787
- Tpr At Fpr 0.01: 0.9568
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0229 | 1.0 | 11061 | 0.0344 | 0.9975 | 0.9736 | 0.9786 | 0.9686 | 0.9838 | 0.0 |
| 0.0102 | 2.0 | 22122 | 0.0450 | 0.9971 | 0.9691 | 0.9977 | 0.9422 | 0.9710 | 0.941 |
| 0.0047 | 3.0 | 33183 | 0.0499 | 0.9974 | 0.9715 | 0.9987 | 0.9458 | 0.9729 | 0.958 |
| 0.0007 | 4.0 | 44244 | 0.0390 | 0.9979 | 0.9773 | 0.9977 | 0.9578 | 0.9788 | 0.9572 |
| 0.0007 | 5.0 | 55305 | 0.0424 | 0.9979 | 0.9770 | 0.9973 | 0.9576 | 0.9787 | 0.9568 |
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 21, 2023
- Updated
- Jun 21, 2023