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)

Downloads last month
105
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for eduardocastellon/roberta-phishing-email-detector

Finetuned
(2377)
this model

Dataset used to train eduardocastellon/roberta-phishing-email-detector