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# nb-bert-large-user-needs
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This model is a fine-tuned version of NbAiLab/nb-bert-large on a dataset of 2000 articles from Bergens Tidende, published between 06/01/2020 and 02/02/2020. These articles are labelled as one of six classes / user needs, as introduced by the BBC in 2017. It achieves the following results on the evaluation set:
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- Loss: 1.0102
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- Accuracy: 0.8900
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- F1: 0.8859
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# nb-bert-large-user-needs
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This model is a fine-tuned version of [NbAiLab/nb-bert-large](https://huggingface.co/NbAiLab/nb-bert-large) on a dataset of 2000 articles from Bergens Tidende, published between 06/01/2020 and 02/02/2020. These articles are labelled as one of six classes / user needs, as introduced by the BBC in 2017. It achieves the following results on the evaluation set:
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- Loss: 1.0102
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- Accuracy: 0.8900
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- F1: 0.8859
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