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: branden.chan@deepset.ai Stefan Schweter: stefan@schweter.eu Timo Möller: timo.moeller@deepset.ai

About us

deepset is the company behind the open-source NLP framework Haystack 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")
• German BERT (aka "bert-base-german-cased")
• GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")

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!

German BERT large

于2020年10月发布，这是由原始的German BERT（也称为“bert-base-german-cased”）和dbmdz BERT（也称为bert-base-german-dbmdz-cased）的创建者共同训练的德语BERT语言模型。在我们的 paper 中，我们概述了训练模型的步骤，并证明它胜过了之前的模型。

概述

论文： here 架构：BERT large 语言：德语

性能

GermEval18 Coarse: 80.08
GermEval18 Fine:   52.48
GermEval14:        88.16

另请参见：deepset/gbert-base deepset/gbert-large deepset/gelectra-base deepset/gelectra-large deepset/gelectra-base-generator deepset/gelectra-large-generator

作者

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

关于我们

deepset 是开源NLP框架 Haystack 背后的公司，旨在帮助您构建可用于问答、摘要、排名等的生产就绪NLP系统。

我们的其他工作：

• Distilled roberta-base-squad2 (aka "tinyroberta-squad2")
• German BERT (aka "bert-base-german-cased")
• GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")

与我们联系并加入Haystack社区

要了解有关Haystack的更多信息，请访问我们的 GitHub 存储库和 Documentation 。

我们还拥有 Discord community open to everyone!

Twitter | LinkedIn | Discord | GitHub Discussions | Website

顺便说一句： we're hiring!