metadata
language:
- de
license: cc-by-4.0
tags:
- question-answering
- pytorch
- qa
- de
datasets: deepset/germanquad
task_categories:
- question-answering
SVALabs - RemBERT German QA
In this repository we present our german question answering model.
The trained model is based on RemBERT and was finetuned using the SQuAD dataset and the GermanQuAD dataset.
Model Details
Description or Link | |
---|---|
Base model | RemBERT |
Finetuning task | Question Answering |
Source datasets | SQuAD ; GermanQuAD |
Performance
The model was tested on 1692 samples of the GermanQuAD test dataset (the other samples were used for validation)
F1-Score: 87.75
EM: 73.35