Update README.md

README.md

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 - We trained a German question answering model with a gelectra-base model as its basis.
 - The dataset is GermanQuAD, a new, German language dataset, which we hand-annotated and published [online](https://deepset.ai/germanquad).
 - The training dataset is one-way annotated and contains 11518 questions and 11518 answers, while the test dataset is three-way annotated so that there are 2204 questions and with 2204·3−76 = 6536answers, because we removed 76 wrong answers.
-- In addition to the annotations in GermanQuAD, haystack's distillation feature was used for training. deepset/xlm-roberta-large-squad2-distilled was used as the teacher model.
+- In addition to the annotations in GermanQuAD, haystack's distillation feature was used for training. deepset/xlm-roberta-large-squad2 was used as the teacher model.
 
 See https://deepset.ai/germanquad for more details and dataset download in SQuAD format.