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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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- german
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---
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We created a German Question Answering dataset (**deQuAD**) with **130k** training and **11k** test QA pairs and fine-tuned German Question Answering model with [bert-base-multilingual-cased](https://github.com/google-research/bert/blob/master/multilingual.md)
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## Overview
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- **Language model:** bert-base-multilingual-cased
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- **Language:** Germa
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- **Training data:** deQuAD2.0 + SQuAD2.0 training set
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- **Evaluation data:** SQuAD2.0 test set; deQuAD2.0 test set
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- **Infrastructure:** 8xV100 GPU
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### Evaluation
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We benchmarked the question answering performance on our deQuAD test data.
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