Update README.md

README.md

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 A multilingual web register classifier, fine-tuned from XLM-RoBERTa-large. 
 The model is trained with the multilingual CORE corpora across five languages (English, Finnish, French, Swedish, Turkish) to classify documents based on the CORE taxonomy, detailed below. 
-The model demonstrates state-of-the-art performance in classifying web registers and achieves good zero-shot performance for additional languages (see Evaluation below).
+It can predict labels for the 100 languages XLM-RoBERTa-large was pretrained on. The model achieves state-of-the-art performance in classifying web registers for the trained languages and has strong transfer performance (see Evaluation below).
 It is designed to support the development of open language models and for linguists analyzing register variation.
 
 ## Model Details