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FakeNewsClassifier_Longformer
yanzcc/FakeNewsClassifier_Longformer
FakeNewsClassifier_Longformer is a text classification model from yanzcc. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
@article{Beltagy2020Longformer, title={Longformer: The Long-Document Transformer}, author={Iz Beltagy and Matthew E. Peters and Arman Cohan}, journal={arXiv:2004.05150}, year={2020}, }
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- longformer
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 9, 2024
- SHA
- 6bfcb6a9
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Model card
From the Hugging Face model README
@article{Beltagy2020Longformer, title={Longformer: The Long-Document Transformer}, author={Iz Beltagy and Matthew E. Peters and Arman Cohan}, journal={arXiv:2004.05150}, year={2020}, }
Dataset: Retrieved from kaggle: https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset?select=Fake.csv
This model is fine-tuned on Longformer 4096 with political and world news from 2016 to 2018, so it will probably identify all current news as fake since the world has changed a lot since then
But it performs well on more related news article: Test accuracy: 0.9956 val_loss: 0.0003
- Task
- Text Classification
- Library
- transformers
- Type
- longformer
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- May 9, 2024