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phishing_4_1
hoanganhvu/phishing_4_1
phishing_4_1 is a machine learning model from hoanganhvu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 18, 2024
- Updated
- May 18, 2024
- SHA
- 192939c0
Base models
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. -->
phishing_4_1
This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7542
- Accuracy: 0.9894
- Precision: 0.9916
- Recall: 0.9872
- False Positive Rate: 0.0084
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | False Positive Rate |
|---|---|---|---|---|---|---|---|
| 0.77 | 1.0 | 3025 | 0.7619 | 0.9818 | 0.9796 | 0.9841 | 0.0205 |
| 0.7579 | 2.0 | 6050 | 0.7603 | 0.9834 | 0.9982 | 0.9685 | 0.0018 |
| 0.7595 | 3.0 | 9075 | 0.7605 | 0.9831 | 0.9982 | 0.9680 | 0.0018 |
| 0.7546 | 4.0 | 12100 | 0.7542 | 0.9894 | 0.9916 | 0.9872 | 0.0084 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 18, 2024
- Updated
- May 18, 2024