
# German BERT base

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 base  
**Language:** German  

## Performance  
```
GermEval18 Coarse: 78.17
GermEval18 Fine:   50.90
GermEval14:        87.98
```

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 [at] deepset.ai`
Stefan Schweter: `stefan [at] schweter.eu`
Timo Möller: `timo.moeller [at] deepset.ai`

## About us
![deepset logo](https://workablehr.s3.amazonaws.com/uploads/account/logo/476306/logo)

We bring NLP to the industry via open source!  
Our focus: Industry specific language models & large scale QA systems.  
  
Some of our work: 
- [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)
- [FARM](https://github.com/deepset-ai/FARM)
- [Haystack](https://github.com/deepset-ai/haystack/)

Get in touch:
[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Slack](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai)

By the way: [we're hiring!](http://www.deepset.ai/jobs)

{"language": "de", "license": "mit", "datasets": ["wikipedia", "OPUS", "OpenLegalData"]}
transformers pytorch tf safetensors fill-mask de dataset:wikipedia dataset:OPUS dataset:OpenLegalData arxiv:2010.10906 license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #safetensors #fill-mask #de #dataset-wikipedia #dataset-OPUS #dataset-OpenLegalData #arxiv-2010.10906 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 


# German BERT base

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 base  
Language: German  

## Performance  


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: 'URL [at] URL'
Stefan Schweter: 'stefan [at] URL'
Timo Möller: 'timo.moeller [at] URL'

## About us
!deepset logo

We bring NLP to the industry via open source!  
Our focus: Industry specific language models & large scale QA systems.  
  
Some of our work: 
- German BERT (aka "bert-base-german-cased")
- GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")
- FARM
- Haystack

Get in touch:
Twitter | LinkedIn | Slack | GitHub Discussions | Website

By the way: we're hiring!

# German BERT base

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 base  
Language: German ## Performance  


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: 'URL [at] URL'
Stefan Schweter: 'stefan [at] URL'
Timo Möller: 'timo.moeller [at] URL' ## About us
!deepset logo

We bring NLP to the industry via open source!  
Our focus: Industry specific language models & large scale QA systems.  
  
Some of our work: 
- German BERT (aka "bert-base-german-cased")
- GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")
- FARM
- Haystack

Get in touch:
Twitter | LinkedIn | Slack | GitHub Discussions | Website

By the way: we're hiring!
TAGS
#transformers #pytorch #tf #safetensors #fill-mask #de #dataset-wikipedia #dataset-OPUS #dataset-OpenLegalData #arxiv-2010.10906 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # German BERT base

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 base  
Language: German ## Performance  


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: 'URL [at] URL'
Stefan Schweter: 'stefan [at] URL'
Timo Möller: 'timo.moeller [at] URL' ## About us
!deepset logo

We bring NLP to the industry via open source!  
Our focus: Industry specific language models & large scale QA systems.  
  
Some of our work: 
- German BERT (aka "bert-base-german-cased")
- GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")
- FARM
- Haystack

Get in touch:
Twitter | LinkedIn | Slack | GitHub Discussions | Website

By the way: we're hiring!
passage: TAGS
#transformers #pytorch #tf #safetensors #fill-mask #de #dataset-wikipedia #dataset-OPUS #dataset-OpenLegalData #arxiv-2010.10906 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# German BERT base

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 base  
Language: German## Performance  


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: 'URL [at] URL'
Stefan Schweter: 'stefan [at] URL'
Timo Möller: 'timo.moeller [at] URL'## About us
!deepset logo

We bring NLP to the industry via open source!  
Our focus: Industry specific language models & large scale QA systems.  
  
Some of our work: 
- German BERT (aka "bert-base-german-cased")
- GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")
- FARM
- Haystack

Get in touch:
Twitter | LinkedIn | Slack | GitHub Discussions | Website

By the way: we're hiring!