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