Released, Oct 2020, this is a German BERT language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-cased). In our paper, we outline the steps taken to train our model and show that it outperforms its predecessors.
Architecture: BERT base
GermEval18 Coarse: 78.17 GermEval18 Fine: 50.90 GermEval14: 87.98
deepset/gbert-base deepset/gbert-large deepset/gelectra-base deepset/gelectra-large deepset/gelectra-base-generator deepset/gelectra-large-generator
branden.chan [at] deepset.ai
stefan [at] schweter.eu
timo.moeller [at] deepset.ai
We bring NLP to the industry via open source!
Our focus: Industry specific language models & large scale QA systems.
Some of our work: