deepset/gelectra-base

German ELECTRA base

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

Overview

Paper: here
Architecture: ELECTRA base (discriminator) Language: German

Performance

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

Authors

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

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.

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