diff --git a/spacy/pipeline/textcat.py b/spacy/pipeline/textcat.py
index a86eb99d2..9490e3cb1 100644
--- a/spacy/pipeline/textcat.py
+++ b/spacy/pipeline/textcat.py
@@ -293,7 +293,7 @@ class TextCategorizer(TrainablePipe):
         bp_scores(gradient)
         if sgd is not None:
             self.finish_update(sgd)
-        losses[self.name] += (gradient ** 2).sum()
+        losses[self.name] += (gradient**2).sum()
         return losses
 
     def _examples_to_truth(
@@ -327,7 +327,7 @@ class TextCategorizer(TrainablePipe):
         not_missing = self.model.ops.asarray(not_missing)  # type: ignore
         d_scores = scores - truths
         d_scores *= not_missing
-        mean_square_error = (d_scores ** 2).mean()
+        mean_square_error = (d_scores**2).mean()
         return float(mean_square_error), d_scores
 
     def add_label(self, label: str) -> int: