diff --git a/spacy/pipeline/textcat.py b/spacy/pipeline/textcat.py
index 76726d436..0378802ac 100644
--- a/spacy/pipeline/textcat.py
+++ b/spacy/pipeline/textcat.py
@@ -405,4 +405,4 @@ class TextCategorizer(TrainablePipe):
                 raise ValueError(Errors.E895.format(value=ex.reference.cats))
             for val in ex.reference.cats.values():
                 if not (val == 1.0 or val == 0.0):
-                    raise ValueError(Errors.E852.format(val=val))
+                    raise ValueError(Errors.E851.format(val=val))
diff --git a/spacy/pipeline/textcat_multilabel.py b/spacy/pipeline/textcat_multilabel.py
index b777e3bec..78750dabc 100644
--- a/spacy/pipeline/textcat_multilabel.py
+++ b/spacy/pipeline/textcat_multilabel.py
@@ -197,7 +197,7 @@ class MultiLabel_TextCategorizer(TextCategorizer):
         for eg in subbatch:
             for val in eg.reference.cats.values():
                 if not (val == 1.0 or val == 0.0):
-                    raise ValueError(Errors.E852.format(val=val))
+                    raise ValueError(Errors.E851.format(val=val))
         doc_sample = [eg.reference for eg in subbatch]
         label_sample, _ = self._examples_to_truth(subbatch)
         self._require_labels()