--- language: de license: mit datasets: - wikipedia - OPUS - OpenLegalData - oscar --- # 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](https://arxiv.org/pdf/2010.10906.pdf), we outline the steps taken to train our model and show that it outperforms its predecessors. ## Overview **Paper:** [here](https://arxiv.org/pdf/2010.10906.pdf) **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](http://deepset.ai/) is the company behind the open-source NLP framework [Haystack](https://haystack.deepset.ai/) which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc. Some of our other work: - [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")]([https://huggingface.co/deepset/tinyroberta-squad2) - [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert) - [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad) ## 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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