vraj33/ai-text-detector-deberta

AI Text Detector (DeBERTa-v3)

This model is a fine-tuned version of microsoft/deberta-v3-base designed to detect AI-generated text.

Model Details

• Architecture: DeBERTa-v3-base
• Training Data: Custom dataset of Human Wikipedia articles vs. AI-generated Wikipedia-style articles (GPT-Neo).
• Performance: Achieved 99.4% Accuracy on in-distribution test data.

Limitations (The "Generalization Gap")

This model was trained to detect GPT-Neo (1.3B).

• Performance on GPT-Neo: 99.9% Confidence

This highlights the necessity of domain-specific training for AI detection.

How to Use

from transformers import pipeline

classifier = pipeline("text-classification", model="vraj33/ai-text-detector-deberta")
text = "The quick brown fox..."
result = classifier(text)
print(result)