RoBERTa Phishing Email Detector
Fine-tuned RoBERTa-base for phishing email detection. Trained on 284k emails. Achieves 99.78% accuracy and 0.9963 F1 on a held-out test set of 21,773 emails.
Evaluation Results
| Metric | Score |
|---|---|
| Accuracy | 99.54% |
| F1 Score | 0.9934 |
Training Data
Trained on 8 datasets totaling 284k emails including CEAS_08, Enron, Ling, Nazario, Nigerian_Fraud, SpamAssasin, and two Kaggle datasets.
Usage
from transformers import pipeline classifier = pipeline("text-classification", model="eduardocastellon/roberta-phishing-email-detector") result = classifier("Click here to claim your prize!") print(result)