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README.md
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This gBert-base model was finetuned on a sentiment prediction task with tweets from German politician during the German Federal Election in 2021.
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## Model Description:
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This model was trained on ~30.000 annotated tweets in German language on its sentiment. It can predict tweets as negative, positive or neutral. It achieved an accuracy of 93% on the specific dataset.
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language:
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- de
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tags:
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- Token Classification
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- Sentiment Prediction
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This gBert-base model was finetuned on a sentiment prediction task with tweets from German politician during the German Federal Election in 2021.
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## Model Description:
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This model was trained on ~30.000 annotated tweets in German language on its sentiment. It can predict tweets as negative, positive or neutral. It achieved an accuracy of 93% on the specific dataset.
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