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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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+ - Token Classification
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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.