Update README.md

README.md

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 # Danish Legal LM
 
-This model is pre-training on a combination of the Danish part of the MultiEURLEX (Chalkidis et al., 2021) dataset comprising EU legislation and two subsets (`retsinformationdk`, `retspraksis`) of the Danish Gigaword Corpus (Derczynski et al., 2021)) comprising legal proceedings.
+This model is pre-training on a combination of the Danish part of the MultiEURLEX (Chalkidis et al., 2021) dataset comprising EU legislation and two subsets (`retsinformationdk`, `retspraksis`) of the Danish Gigaword Corpus (Derczynski et al., 2021) comprising legal proceedings.
 It achieves the following results on the evaluation set:
 - Loss: 0.7302 (up to 128 tokens)
 - Loss: 0.7847 (up to 512 tokens)
 
 ## Model description
 
-This is a RoBERTa (Liu et al., 2019) model pre-training on Danish legal corpora. It follows a base configurations with 12 Transformer layers, each one with 768 hidden units and 12 attention heads.
+This is a RoBERTa (Liu et al., 2019) model pre-trained on Danish legal corpora. It follows a base configuration with 12 Transformer layers, each one with 768 hidden units and 12 attention heads.
 
 ## Intended uses & limitations