Update README.md

README.md

@@ -37,7 +37,7 @@ Lightning is a very lightweight wrapper on PyTorch. This means you don't have to
 ## Why do I want to use lightning?
 When starting a new project the last thing you want to do is recode a training loop, multi-cluster training, 16-bit precision, early-stopping, model loading/saving, when to validate, etc... You're likely to spend a long time ironing out all the bugs without even getting to the core of your research.
 
-With lightning, you guarantee those parts of your code work so you can focus on what the meat of the research: The data and the training/validation loop logic. 
+With lightning, you guarantee those parts of your code work so you can focus on the meat of the research: The data and the training/validation loop logic. 
 
 Don't worry about training on multiple gpus or speeding up your code, lightning will do that for you!