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--- |
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language: de |
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license: mit |
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tags: |
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- exbert |
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--- |
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## Overview |
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**Language model:** gbert-large-sts |
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**Language:** German |
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**Training data:** German STS benchmark train and dev set |
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**Eval data:** German STS benchmark test set |
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**Infrastructure**: 1x V100 GPU |
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**Published**: August 12th, 2021 |
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## Details |
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- We trained a gbert-large model on the task of estimating semantic similarity of German-language text pairs. The dataset is a machine-translated version of the [STS benchmark](https://ixa2.si.ehu.eus/stswiki/index.php/STSbenchmark), which is available [here](https://github.com/t-systems-on-site-services-gmbh/german-STSbenchmark). |
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## Hyperparameters |
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``` |
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batch_size = 16 |
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n_epochs = 4 |
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warmup_ratio = 0.1 |
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learning_rate = 2e-5 |
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lr_schedule = LinearWarmup |
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``` |
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## Performance |
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Stay tuned... and watch out for new papers on arxiv.org ;) |
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## Authors |
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- Julian Risch: `julian.risch [at] deepset.ai` |
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- Timo Möller: `timo.moeller [at] deepset.ai` |
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- Julian Gutsch: `julian.gutsch [at] deepset.ai` |
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- Malte Pietsch: `malte.pietsch [at] deepset.ai` |
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## About us |
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<div class="grid lg:grid-cols-2 gap-x-4 gap-y-3"> |
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<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> |
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<img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/deepset-logo-colored.png" class="w-40"/> |
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</div> |
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<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> |
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<img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png" class="w-40"/> |
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</div> |
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</div> |
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[deepset](http://deepset.ai/) is the company behind the production-ready open-source AI framework [Haystack](https://haystack.deepset.ai/). |
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Some of our other work: |
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- [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")](https://huggingface.co/deepset/tinyroberta-squad2) |
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- [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) |
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- [deepset Cloud](https://www.deepset.ai/deepset-cloud-product), [deepset Studio](https://www.deepset.ai/deepset-studio) |
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## Get in touch and join the Haystack community |
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<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>. |
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We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community">Discord community open to everyone!</a></strong></p> |
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[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) |
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By the way: [we're hiring!](http://www.deepset.ai/jobs) |
