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German BERT large

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.

Overview

Paper: here
Architecture: BERT large
Language: German

Performance

GermEval18 Coarse: 80.08
GermEval18 Fine:   52.48
GermEval14:        88.16

See also:
deepset/gbert-base
deepset/gbert-large
deepset/gelectra-base
deepset/gelectra-large
deepset/gelectra-base-generator
deepset/gelectra-large-generator

Authors

Branden Chan: branden.chan@deepset.ai
Stefan Schweter: stefan@schweter.eu
Timo Möller: timo.moeller@deepset.ai

About us

deepset is the company behind the open-source NLP framework Haystack which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc.

Some of our other work:

Get in touch and join the Haystack community

For more info on Haystack, visit our GitHub repo and Documentation.

We also have a Discord community open to everyone!

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