Update README.md

README.md

@@ -24,6 +24,7 @@ Input text segments consisted of ~350 words on average.
 
 Given an input string, the model predicts probablites for 1063 keyword IDs from the VHA ontology.
 Typically, probabilities >= 0.5 are "True" if encoding them in a binary vector.
+
 Due to the small training data, the most likely predictions are usually correct but do not meet the threshold.
 
-The mapping from keyword IDs to labels will be added to the repository.
+The mapping from keyword IDs to labels will be added to the repository later.