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fake-news-detector-transformer – AI Model by anshy047 | AlphaNeural AI

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anshy047/
fake-news-detector-transformer

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text-classification

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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🧠 Fake News Detection using Transformer

This model is a fine-tuned DistilBERT model designed to classify news articles as FAKE or REAL.

🚀 Model Overview

Base Model: distilbert-base-uncased
Task: Text Classification
Labels: FAKE, REAL
Architecture: Transformer-based (DistilBERT)

📊 Performance

Accuracy: ~98%
F1 Score: ~0.98

📂 Dataset

Trained on a combined dataset including:

Fake news datasets
Real news datasets
Cleaned and preprocessed text corpus

🧠 How It Works

The model analyzes:

Semantic meaning of text
Contextual relationships
Writing patterns

⚡ Usage

python

from transformers import pipeline

classifier = pipeline("text-classification", model="your-username/your-model")

classifier("Breaking news: Scientists discover new planet")