Update README.md

README.md

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-This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off the bert-base-german-cased (https://huggingface.co/bert-base-german-cased). [I'm an inline-style link](https://www.google.com).
+This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off [the bert-base-german-cased](https://huggingface.co/bert-base-german-cased). 
 
 Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
 
 Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
 
-The model was trained on 50 thousand German sentences from the news_commentary dataset (https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using the open source Python library https://github.com/eistakovskii/text_corruption_plus. The library was originally developed by aylliote (https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.
+The model was trained on 50 thousand German sentences from [the news_commentary dataset](https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using [the open source Python library](https://github.com/eistakovskii/text_corruption_plus). The library was originally developed by [aylliote](https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.