Update README.md

README.md

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 Pretrained RoBERTa model on Finnish language using a masked language modeling (MLM) objective with WECHSEL method. 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). WECHSEL method (Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models)  was introduced in [this paper](https://arxiv.org/abs/2112.06598) and first released in [this repository](https://github.com/CPJKU/wechsel). This model is case-sensitive: it
-makes a difference between finnish and Finnish.
+[this repository](https://github.com/pytorch/fairseq/tree/master/examples/roberta).
+
+WECHSEL method (Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models)  was introduced in [this paper](https://arxiv.org/abs/2112.06598) and first released in [this repository](https://github.com/CPJKU/wechsel).
+
+This model is case-sensitive: it makes a difference between finnish and Finnish.
 
 ## Model description