Update README.md
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@ -35,10 +35,10 @@ license: cc-by-4.0
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**Single EM-Scores:** [0.222, 0.123, 0.234, 0.159, 0.158]
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**Single F1-Scores:** [0.476, 0.493, 0.599, 0.461, 0.465]
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**Single top\_3\_recall Scores:** [0.827, 0.776, 0.860, 0.771, 0.777]
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**Single top\\_3\\_recall Scores:** [0.827, 0.776, 0.860, 0.771, 0.777]
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**XVAL EM:** 0.17890995260663506
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**XVAL f1:** 0.49925444207319924
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**XVAL top\_3\_recall:** 0.8021327014218009
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**XVAL top\\_3\\_recall:** 0.8021327014218009
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This model is the model obtained from the **third** fold of the cross-validation.
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@ -106,8 +106,11 @@ Our focus: Industry specific language models & large scale QA systems.
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Some of our work:
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- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert)
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- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad)
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- [FARM](https://github.com/deepset-ai/FARM)
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- [Haystack](https://github.com/deepset-ai/haystack/)
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Get in touch:
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[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Website](https://deepset.ai)
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[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Slack](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai)
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By the way: [we're hiring!](https://apply.workable.com/deepset/)
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