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Onlyphish_100KP_BFall_fromB_30KGen_topP_0.75_noaddedB
AustinCarthy/Onlyphish_100KP_BFall_fromB_30KGen_topP_0.75_noaddedB
Onlyphish_100KP_BFall_fromB_30KGen_topP_0.75_noaddedB 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 May 27, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 27, 2023
- Updated
- May 27, 2023
- SHA
- 46a8f3ea
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. -->
Onlyphish_100KP_BFall_fromB_30KGen_topP_0.75_noaddedB
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_benign_40K_top_p_0.75 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0196
- Accuracy: 0.9974
- F1: 0.9714
- Precision: 0.9994
- Recall: 0.945
- Roc Auc Score: 0.9725
- Tpr At Fpr 0.01: 0.9556
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0046 | 1.0 | 66565 | 0.0199 | 0.9965 | 0.9616 | 0.9970 | 0.9286 | 0.9642 | 0.9174 |
| 0.0098 | 2.0 | 133130 | 0.0314 | 0.9952 | 0.9477 | 0.9883 | 0.9104 | 0.9549 | 0.8002 |
| 0.0015 | 3.0 | 199695 | 0.0132 | 0.9976 | 0.9737 | 0.9981 | 0.9504 | 0.9752 | 0.9528 |
| 0.0017 | 4.0 | 266260 | 0.0164 | 0.9975 | 0.9731 | 0.9987 | 0.9488 | 0.9744 | 0.9536 |
| 0.0013 | 5.0 | 332825 | 0.0196 | 0.9974 | 0.9714 | 0.9994 | 0.945 | 0.9725 | 0.9556 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
- License
- apache-2.0
- Created
- May 27, 2023
- Updated
- May 27, 2023