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Benign10MGPT2_suffix_100KP_BFall_fromB_90K_topP_0.75_ratio2.63
AustinCarthy/Benign10MGPT2_suffix_100KP_BFall_fromB_90K_topP_0.75_ratio2.63
Benign10MGPT2_suffix_100KP_BFall_fromB_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 Jul 6, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 6, 2023
- Updated
- Jul 6, 2023
- SHA
- 34c2abc0
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. -->
Benign10MGPT2_suffix_100KP_BFall_fromB_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_Benign10MGPT2_using_benign_95K_top_p_0.75suffix dataset. It achieves the following results on the evaluation set:
- Loss: 0.1028
- Accuracy: 0.9801
- F1: 0.8205
- Precision: 0.7196
- Recall: 0.9542
- Roc Auc Score: 0.9678
- Tpr At Fpr 0.01: 0.787
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.1253 | 1.0 | 21554 | 0.0991 | 0.9691 | 0.7343 | 0.6212 | 0.8978 | 0.9352 | 0.7494 |
| 0.0986 | 2.0 | 43108 | 0.0631 | 0.9831 | 0.8441 | 0.7519 | 0.962 | 0.9731 | 0.7858 |
| 0.0817 | 3.0 | 64662 | 0.0598 | 0.9838 | 0.8468 | 0.7704 | 0.94 | 0.9630 | 0.7012 |
| 0.06 | 4.0 | 86216 | 0.0799 | 0.9822 | 0.8367 | 0.7414 | 0.9602 | 0.9717 | 0.8236 |
| 0.0405 | 5.0 | 107770 | 0.1028 | 0.9801 | 0.8205 | 0.7196 | 0.9542 | 0.9678 | 0.787 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- Jul 6, 2023
- Updated
- Jul 6, 2023