bert-large-finetuned-phishing

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0394
Accuracy: 0.9813
Precision: 0.9904
Recall: 0.9703
False Positive Rate: 0.00857

Code-to-clean-webapage

Github : https://github.com/nguy2311/Clean-webpage/blob/main/clean_webpage.ipynb

Downloads last month: 4

Safetensors

Model size

178M params

Tensor type

F32

Text Classification

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