Update README.md

README.md

@@ -20,13 +20,13 @@ It achieves the following results on the evaluation set:
 
 MiniLM is a distilled model from the paper "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers".
 
-We fine tune this model to evaluate (regression) the clickbait level of a title news.
+We fine tune this model to evaluate (regression) the clickbait level of title news.
 
 ## Intended uses & limitations
 
-Model was designed to test the possibilities of Transformers in this cas of NLP problem (like in the paper  "Predicting Clickbait Strength in Online Social Media" by Indurthi Vijayasaradhi, Syed Bakhtiyar, Gupta Manish, Varma Vasudeva).
+Model was designed to work on Transformers (like in the paper  "Predicting Clickbait Strength in Online Social Media" by Indurthi Vijayasaradhi, Syed Bakhtiyar, Gupta Manish, Varma Vasudeva).
 
-The model wa trained in english.
+The model wa trained with english titles.
 
 ## Training and evaluation data