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bert-phishing-classifier_student_4bit
shawhin/bert-phishing-classifier_student_4bit
bert-phishing-classifier_student_4bit is a text classification model from shawhin. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a quantized version of shawhin/bert-phishing-classifierstudent trained via knowledge distillation from shawhin/bert-phishing-classifierteacher using the shawhin/phishing-site-classification dataset.
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Model card
From the Hugging Face model README
bert-phishing-classifier_student
This model is a quantized version of shawhin/bert-phishing-classifier_student trained via knowledge distillation from shawhin/bert-phishing-classifier_teacher using the shawhin/phishing-site-classification dataset. It achieves the following results on the validation set:
- Accuracy: 0.9356
- Precision: 0.9757
- Recall: 0.8933
- F1 Score: 0.9327
Model description
Quantized student model for model compression example.
Video | Blog | Example code
Intended uses & limitations
This model was created for educational purposes.
Training and evaluation data
The Training, Testing, and Validation data are available here: shawhin/phishing-site-classification.
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 28, 2024
- Updated
- Sep 1, 2024