language | license | datasets | |||
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de |
mit |
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Released, Oct 2020, this is a German ELECTRA 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. Our evaluation suggests that this model is somewhat undertrained. For best performance from a base sized model, we recommend deepset/gbert-base
Paper: here
Architecture: ELECTRA base (discriminator)
Language: German
GermEval18 Coarse: 76.02
GermEval18 Fine: 42.22
GermEval14: 86.02
See also:
deepset/gbert-base
deepset/gbert-large
deepset/gelectra-base
deepset/gelectra-large
deepset/gelectra-base-generator
deepset/gelectra-large-generator
Branden Chan: branden.chan [at] deepset.ai
Stefan Schweter: stefan [at] schweter.eu
Timo Möller: timo.moeller [at] deepset.ai
We bring NLP to the industry via open source!
Our focus: Industry specific language models & large scale QA systems.
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