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license: cc-by-4.0 |
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language: |
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- de |
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task_categories: |
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- question-answering |
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tags: |
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- question-answering |
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- pytorch |
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- qa |
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- de |
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--- |
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# SVALabs - InfoXLM German QA |
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In this repository we present our german question answering model. |
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The trained model is based on [InfoXLM-large](https://huggingface.co/microsoft/infoxlm-large) and was finetuned using the [SQuAD](https://huggingface.co/datasets/squad) dataset and the [GermanQuAD](https://huggingface.co/datasets/deepset/germanquad) dataset. |
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### Model Details |
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| | Description or Link | |
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|---|---| |
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|**Base model** | [```InfoXLM-large```](https://huggingface.co/microsoft/infoxlm-large) | |
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|**Finetuning task**| Question Answering | |
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|**Source datasets**| [```SQuAD```](https://huggingface.co/datasets/squad); [```GermanQuAD```](https://huggingface.co/datasets/deepset/germanquad)| |
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### Performance |
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The model was tested on 1692 samples of the GermanQuAD test dataset (the other samples were used for validation) |
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F1-Score: 89.05 |
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EM: 74.76 |
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### Contact |
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- Nicole Wochatz, nicole.wochatz@sva.de |
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- Stefan Kammer, stefan.kammer@sva.de |
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