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, 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: [email protected]
Stefan Schweter: [email protected]
Timo Möller: [email protected]
About us
deepset is the company behind the production-ready open-source AI framework Haystack.
Some of our other work:
- Distilled roberta-base-squad2 (aka "tinyroberta-squad2")
- German BERT, GermanQuAD and GermanDPR, German embedding model
- deepset Cloud, deepset Studio
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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By the way: we're hiring!