Update README.md

README.md

@@ -12,4 +12,5 @@ language:
 ![RBG Kew Herbarium Packets](https://www.kew.org/sites/default/files/styles/read_watch_listing/public/2019-02/herbarium%20specimens.png.webp?itok=XByp1zeV)
 
 RoBERTa for binary sequence classification fine-tuned to classify text derived from herbarium packets as location sensitive.
-Fine-tuned with 500,000 cleaned data samples from RBG Kew's Herbarium dataset available on GBIF (https://doi.org/10.15468/ly60bx).
+Fine-tuned with 500,000 cleaned data samples from RBG Kew's Herbarium dataset available on GBIF (https://doi.org/10.15468/ly60bx).
+Trained primarily for English language but may work with other languages due to the large variety of text present in the Kew Herbarium.