othmanelhoufi/LM-for-FactChecking
An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.
Leverages Hugging Face Transformers to enable flexible model selection and fine-tuning across five annotated claim datasets (FEVER, MultiFC, Liar, COVID-19, ANTiVax) with configurable hyperparameters via command-line interface and config files. Integrates Weights & Biases for real-time training metric visualization and experiment tracking. Achieves up to 98% accuracy on domain-specific datasets through transfer learning, with extensible architecture supporting custom datasets and additional transformer models.
No commits in the last 6 months.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Aug 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/othmanelhoufi/LM-for-FactChecking"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Md-Emon-Hasan/InformaTruth
Fine-tuned roberta-base classifier on the LIAR dataset. Aaccepts multiple input types text,...
abhilashreddys/Fake-News-Article
Detecting fake news articles by analyzing patterns in writing.
Someshog/greenwashing-detection-app
An AI-powered Streamlit web app to detect greenwashing in sustainability claims using DistilBERT...
D1ffic00lt/ai-pastproof
PastProof AI – ML core for automated fact-checking: ingests raw text, finds evidence in a custom...
cleopatra-itn/claim_detection
Code for tasks in the paper "Check\_square at CheckThat! 2020: Claim Detection in Social Media...