Downloads · 30 days
0
OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio5
AustinCarthy/OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio5
OnlyPhishGPT2_subdomain_100KP_BFall_fromB_90K_topP_0.75_ratio5 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 16, 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 16, 2023
- Updated
- Jun 16, 2023
- SHA
- e10c7378
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_fromB_90K_topP_0.75_ratio5
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_benigh_200K_top_p_0.75 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0192
- Accuracy: 0.9978
- F1: 0.9767
- Precision: 0.9994
- Recall: 0.955
- Roc Auc Score: 0.9775
- Tpr At Fpr 0.01: 0.9632
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0057 | 1.0 | 35625 | 0.0113 | 0.9979 | 0.9779 | 0.9954 | 0.961 | 0.9804 | 0.9518 |
| 0.0035 | 2.0 | 71250 | 0.0150 | 0.9975 | 0.9726 | 0.9983 | 0.9482 | 0.9741 | 0.95 |
| 0.0011 | 3.0 | 106875 | 0.0175 | 0.9975 | 0.9727 | 0.9994 | 0.9474 | 0.9737 | 0.9554 |
| 0.0009 | 4.0 | 142500 | 0.0160 | 0.9979 | 0.9778 | 0.9990 | 0.9576 | 0.9788 | 0.9618 |
| 0.0 | 5.0 | 178125 | 0.0192 | 0.9978 | 0.9767 | 0.9994 | 0.955 | 0.9775 | 0.9632 |
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 16, 2023
- Updated
- Jun 16, 2023