Update README.md

README.md

@@ -3,14 +3,18 @@ language:
 - en
 tags:
 - Voice
+datasets:
+- JBJoyce/DENTAL_CLICK
+metrics:
+- accuracy
 ---
 
 ### Model Description
 Model utilizes Wav2vec2 architecture trained on the Superb dataset for keyword spotting task and was fine 
 tuned to identify dental dental click utterance (https://en.wikipedia.org/wiki/Dental_click) in speech.
 Model was trained for 10 epochs on a limited quantity of speech (~1.5 hours) and with only one speaker. 
-Thus the model has not be checked for generalizability to other speakers or languages without further 
-training data.
+Thus the model should not be assumed to hold generalizability to other speakers or languages without further 
+training data or rigorous testing.
 
 Model was evaluated for accuracy on a hold out test set of 20% of the available data and scored 97%.