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BDA594-fake-news-classification
Kaludi/BDA594-fake-news-classification
BDA594-fake-news-classification is a text classification model from Kaludi. Use it when you need a label for a piece of text. It is set up for transformers.
This is a Fake News Classifier model that has been trained by Kaludi to determine the authenticity of news articles. It classifies articles into two categories: Real and Fake. By analyzing the content and context of a…
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Model card
From the Hugging Face model README
Fake News Classification
This is a Fake News Classifier model that has been trained by Kaludi to determine the authenticity of news articles. It classifies articles into two categories: Real and Fake. By analyzing the content and context of a given article, this model can accurately determine whether the news is genuine or fabricated.
Gradio
This model supports a Gradio Web UI to run the BDA594-fake-news-classification model:
Validation Metrics
- Loss: 0.064
- Accuracy: 0.992
- Precision: 0.985
- Recall: 1.000
- AUC: 0.992
- F1: 0.992
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- unk
- Created
- Oct 6, 2023
- Updated
- Oct 6, 2023