Downloads · 30 days
0
OnlyPhishGPT2_subdomain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63
AustinCarthy/OnlyPhishGPT2_subdomain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63
OnlyPhishGPT2_subdomain_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. --
Access
Public
Updated Jun 15, 2023
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt876 MB · 67%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 14, 2023
- Updated
- Jun 15, 2023
- SHA
- 4414f9c0
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_subdomain_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_0.75subdomain dataset. It achieves the following results on the evaluation set:
- Loss: 0.0219
- Accuracy: 0.9978
- F1: 0.9769
- Precision: 0.9979
- Recall: 0.9568
- Roc Auc Score: 0.9783
- Tpr At Fpr 0.01: 0.9552
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0063 | 1.0 | 21554 | 0.0127 | 0.9974 | 0.9725 | 0.9933 | 0.9526 | 0.9761 | 0.914 |
| 0.0038 | 2.0 | 43108 | 0.0136 | 0.9977 | 0.9751 | 0.9940 | 0.957 | 0.9784 | 0.8992 |
| 0.0015 | 3.0 | 64662 | 0.0147 | 0.9977 | 0.9755 | 0.9958 | 0.956 | 0.9779 | 0.9498 |
| 0.001 | 4.0 | 86216 | 0.0123 | 0.9981 | 0.9798 | 0.9979 | 0.9624 | 0.9812 | 0.9622 |
| 0.0 | 5.0 | 107770 | 0.0219 | 0.9978 | 0.9769 | 0.9979 | 0.9568 | 0.9783 | 0.9552 |
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 14, 2023
- Updated
- Jun 15, 2023