Minor chnages in the description

semf1.py

@@ -49,13 +49,13 @@ _CITATION = """\
 """
 
 _DESCRIPTION = """\
-SEM-F1 metric leverages the pre-trained contextual embeddings and evaluates the model generated 
+Sem-F1 metric leverages the pre-trained contextual embeddings and evaluates the model generated 
 semantic overlap summary with the reference overlap summary. It evaluates the semantic overlap summary at the 
 sentence level and computes precision, recall and F1 scores.
 """
 
 _KWARGS_DESCRIPTION = """
-SEM-F1 compares the system generated overlap summary with ground truth reference overlap.
+Sem-F1 compares the system generated overlap summary with ground truth reference overlap.
 
 Args:
     predictions: list - List of  predictions (Details below)