updated wording

Author: AbeOmor

articles/machine-learning/how-to-use-mlflow-cli-runs.md

@@ -233,7 +233,7 @@ runs.head(10)
 ```
 
 ## Automatic logging
-With Azure Machine Learning and MLFlow, users are able to automatically log metrics, model parameters and mode artifacts automatically when train models using a [variety of popular machine learning libraries](https://mlflow.org/docs/latest/tracking.html#automatic-logging). 
+With Azure Machine Learning and MLFlow, users can log metrics, model parameters and model artifacts automatically when training a model.  A [variety of popular machine learning libraries](https://mlflow.org/docs/latest/tracking.html#automatic-logging) are supported. 
 
 To enable [automatic logging](https://mlflow.org/docs/latest/tracking.html#automatic-logging) insert the following code before your training code: