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gelectra-base-germanquad

Question Answering

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sjrhuschlee commited on Jul 26, 2022

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@@ -39,8 +39,8 @@ We evaluated the extractive question answering performance on our GermanQuAD tes
 Model types and training data are included in the model name.
 For finetuning XLM-Roberta, we use the English SQuAD v2.0 dataset.
 The GELECTRA models are warm started on the German translation of SQuAD v1.1 and finetuned on \\\\germanquad.
-The human baseline was computed for the 3-way test set by taking one answer as prediction and the other two as ground truth.
-![performancetable](https://lh3.google.com/u/0/d/1IFqkq8OZ7TFnGzxmW6eoxXSYa12f2M7O=w1970-h1546-iv1)
 ## Authors
 - Timo Möller: `timo.moeller [at] deepset.ai`

 Model types and training data are included in the model name.
 For finetuning XLM-Roberta, we use the English SQuAD v2.0 dataset.
 The GELECTRA models are warm started on the German translation of SQuAD v1.1 and finetuned on \\\\germanquad.
+The human baseline was computed for the 3-way test set by taking one answer as prediction and the other two as ground truth.
+![performancetable](https://images.prismic.io/deepset/1c63afd8-40e6-4fd9-85c4-0dbb81996183_german-qa-vs-xlm-r.png)
 ## Authors
 - Timo Möller: `timo.moeller [at] deepset.ai`