Resolve the error with model_type

semf1.py

@@ -85,6 +85,7 @@ Examples:
     [0.77, 0.56]
 """
 
+[["I go to School.", "You are stupid."]]
 
 class Encoder(metaclass=abc.ABCMeta):
     @abc.abstractmethod
@@ -160,14 +161,14 @@ class SemF1(evaluate.Metric):
 
     def _get_model_name(self, model_type: Optional[str] = None) -> str:
         # TODO: make it work with USE as well
+        if model_type is None:
+            model_type = "pv1"  # Change it to use
+
         if model_type not in self._MODEL_TYPE_TO_NAME.keys():
             raise ValueError(f"Provide a correct model_type.\n"
                              f"Options: {self._MODEL_TYPE_TO_NAME.keys()}\n"
                              f"Currently provided: {model_type}")
 
-        if model_type is None:
-            model_type = "pv1"  # Change it to use
-
         return self._MODEL_TYPE_TO_NAME[model_type]
 
     def _compute(self, predictions, references, model_type: Optional[str] = None):