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fake-real-news-classifier
ikekobby/fake-real-news-classifier
fake-real-news-classifier is a text classification model from ikekobby. Use it when you need a label for a piece of text. It is set up for transformers.
Model based trained on 30% of the kaggle public data on fake and reals news article. The model achieved an auc of 1.0, precision, recall and f1score all at score of 1.0.
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268 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 3, 2022
- Updated
- Apr 4, 2022
- SHA
- ddf8af5a
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Model card
From the Hugging Face model README
Model based trained on 30% of the kaggle public data on fake and reals news article. The model achieved an auc of 1.0, precision, recall and f1score all at score of 1.0.
- Task;- The predictor classifies news articles into either fake or real news.
- It is a transformer model trained using the
ktrainlibrary on 30% of dataset of size 194MB after preprocessing. - Metrics used are recall,, precision, f1score and roc_auc_score.
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Apr 3, 2022
- Updated
- Apr 4, 2022