Open-source bert-phishing-classifier_teacher model - High-precision identification of phishing emails and web pages

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Bert Phishing Classifier Teacher

Developed by Arnav0805

BERT-based phishing email/webpage classification model achieving 87.3% accuracy on validation set

Text Classification

Transformers

Open Source License:Apache-2.0 #Phishing Email Detection #High-Precision Classification #BERT Fine-Tuning

Downloads 22

Release Time : 1/6/2025

Model Overview

This is a BERT-based text classification model specifically designed for detecting phishing emails or webpage content. The model is fine-tuned from Google's BERT-base model and demonstrates excellent performance in binary classification tasks.

Model Features

High-Precision Detection

Achieves 0.952 AUC score and 87.3% accuracy on validation set

BERT Architecture Advantage

Based on pre-trained BERT model, effectively captures semantic features of text

Lightweight Deployment

Uses base version model, suitable for production environment deployment

Model Capabilities

Text Classification

Phishing Content Identification

Malicious Content Detection

Use Cases

Cybersecurity

Enterprise Email Filtering

Automatically identify phishing emails in employee inboxes

Can reduce phishing email oversight by over 87%

Web Content Moderation

Detect phishing content such as fake login pages

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc
0.4992	1.0	263	0.3864	0.807	0.914
0.4029	2.0	526	0.3635	0.838	0.934
0.3699	3.0	789	0.4964	0.78	0.942
0.3364	4.0	1052	0.3216	0.858	0.938
0.3626	5.0	1315	0.3473	0.858	0.948
0.3189	6.0	1578	0.2932	0.88	0.95
0.3217	7.0	1841	0.2930	0.876	0.949
0.3355	8.0	2104	0.3004	0.864	0.95
0.3103	9.0	2367	0.2891	0.867	0.951
0.2987	10.0	2630	0.2941	0.873	0.952

Property	Details
library_name	transformers
license	apache - 2.0
base_model	google - bert/bert - base - uncased
tags	generated_from_trainer
metrics	accuracy
model_index	name: bert - phishing - classifier_teacher, results: []

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Bert Phishing Classifier Teacher

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