Update README.md

README.md

@@ -15,14 +15,14 @@ widget:
 
 # RoBERTa large model for Finnish
 
-Pretrained model on Finnish language using a masked language modeling (MLM) objective. It was introduced in
+Pretrained RoBERTa model on Finnish language using a masked language modeling (MLM) objective. RoBERTa was introduced in
 [this paper](https://arxiv.org/abs/1907.11692) and first released in
 [this repository](https://github.com/pytorch/fairseq/tree/master/examples/roberta). This model is case-sensitive: it
 makes a difference between finnish and Finnish.
 
 ## Model description
 
-RoBERTa is a transformers model pretrained on a large corpus of Finnish data in a self-supervised fashion. This means
+Finnish RoBERTa is a transformers model pretrained on a large corpus of Finnish data in a self-supervised fashion. This means
 it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of
 publicly available data) with an automatic process to generate inputs and labels from those texts.