|
--- |
|
license: apache-2.0 |
|
datasets: |
|
- shawhin/phishing-site-classification |
|
metrics: |
|
- accuracy |
|
- recall |
|
- precision |
|
- f1 |
|
base_model: shawhin/bert-phishing-classifier_student |
|
library_name: transformers |
|
--- |
|
|
|
|
|
# bert-phishing-classifier_student |
|
|
|
This model is a quantized version of [shawhin/bert-phishing-classifier_student](https://huggingface.co/shawhin/bert-phishing-classifier_student) trained via knowledge distillation from [shawhin/bert-phishing-classifier_teacher](https://huggingface.co/shawhin/bert-phishing-classifier_teacher) using the [shawhin/phishing-site-classification](https://huggingface.co/datasets/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](https://youtu.be/FLkUOkeMd5M) | [Blog](https://towardsdatascience.com/compressing-large-language-models-llms-9f406eea5b5e) | [Example code](https://github.com/ShawhinT/YouTube-Blog/tree/main/LLMs/model-compression) |
|
|
|
## 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](https://huggingface.co/datasets/shawhin/phishing-site-classification). |
