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fake-news-roberta
himel05/fake-news-roberta
fake-news-roberta is a text classification model from himel05. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a RoBERTa-base transformer fine-tuned on the WELFake Dataset for binary text classification (Real/Fake news).
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 25, 2025
- SHA
- ae1971f0
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Model card
From the Hugging Face model README
This model is a RoBERTa-base transformer fine-tuned on the WELFake Dataset for binary text classification (Real/Fake news).
It was trained using class weight balancing and a weighted loss function to ensure robust and balanced performance.
Important Note on Labels
This specific model uses reversed labels:
Label 0 corresponds to REAL news.
Label 1 corresponds to FAKE news.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Nov 15, 2025
- Updated
- Nov 25, 2025