This gBert-base model was finetuned on a sentiment prediction task with tweets from German politician during the German Federal Election in 2021.
## Model Description:
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.

## Model Implementation
You can implement this model for example with Simpletransformers. First you have to unpack the file.