| | --- |
| | 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](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 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 |
| |
|
| | <div class="grid lg:grid-cols-2 gap-x-4 gap-y-3"> |
| | <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> |
| | <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/deepset-logo-colored.png" class="w-40"/> |
| | </div> |
| | <div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> |
| | <img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png" class="w-40"/> |
| | </div> |
| | </div> |
| | |
| | [deepset](http://deepset.ai/) is the company behind the production-ready open-source AI framework [Haystack](https://haystack.deepset.ai/). |
| |
|
| | Some of our other work: |
| | - [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")](https://huggingface.co/deepset/tinyroberta-squad2) |
| | - [German BERT](https://deepset.ai/german-bert), [GermanQuAD and GermanDPR](https://deepset.ai/germanquad), [German embedding model](https://huggingface.co/mixedbread-ai/deepset-mxbai-embed-de-large-v1) |
| | - [deepset Cloud](https://www.deepset.ai/deepset-cloud-product), [deepset Studio](https://www.deepset.ai/deepset-studio) |
| |
|
| | ## Get in touch and join the Haystack community |
| |
|
| | <p>For more info on Haystack, visit our <strong><a href="https://github.com/deepset-ai/haystack">GitHub</a></strong> repo and <strong><a href="https://docs.haystack.deepset.ai">Documentation</a></strong>. |
| |
|
| | We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community">Discord community open to everyone!</a></strong></p> |
| |
|
| | [Twitter](https://twitter.com/Haystack_AI) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Discord](https://haystack.deepset.ai/community) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://haystack.deepset.ai/) | [YouTube](https://www.youtube.com/@deepset_ai) |
| |
|
| | By the way: [we're hiring!](http://www.deepset.ai/jobs) |
