cybersectony's picture
Update README.md
fe14407 verified
|
raw
history blame
848 Bytes
metadata
license: apache-2.0
datasets:
  - cybersectony/PhishingEmailDetection
library_name: transformers
language:
  - en
base_model:
  - distilbert/distilbert-base-uncased
tags:
  - Phishing
  - Email
  - URL
  - Detection

A distilBERT based Phishing Email Detection Model

Model Overview

This model is specifically fine-tuned for detecting phishing emails using the Hugging Face Trainer API.

Key Specifications

  • Base Architecture: DistilBERT
  • Task: Multilabel Classification
  • Fine-tuning Framework: Hugging Face Trainer API
  • Training Duration: 3 epochs

Performance Metrics

  • F1-score: 97.717
  • Accuracy: 97.716
  • Precision: 97.736
  • Recall: 97.717

Dataset Details This model was trained using a Phishing Email Detection Dataset.