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bert-unreliable-news-eng
khizon/bert-unreliable-news-eng
bert-unreliable-news-eng is a text classification model from khizon. Use it when you need a label for a piece of text. It is set up for transformers.
Trained, validate, and tested using a subset of the NELA-GT-2018 dataset. The dataset is split such that there was no overlap in of news sources between the three sets. This model used the pre-trained weights of bert-…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 15, 2022
- SHA
- bbd24e12
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Model card
From the Hugging Face model README
Unreliable News Classifier (English)
Trained, validate, and tested using a subset of the NELA-GT-2018 dataset. The dataset is split such that there was no overlap in of news sources between the three sets.
This model used the pre-trained weights of bert-base-cased as starting point and was able to achieve 84% accuracy on the test set.
For more details: Github
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Jan 15, 2022