diff --git a/spacy/pipeline/spancat_exclusive.py b/spacy/pipeline/spancat_exclusive.py
index 644b6c2fb..6ae661ff0 100644
--- a/spacy/pipeline/spancat_exclusive.py
+++ b/spacy/pipeline/spancat_exclusive.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, cast
+from typing import Callable, Dict, Iterable, List, Optional, Tuple, cast
 
 import numpy
 from thinc.api import Config, Model, Ops, Optimizer
@@ -370,7 +370,8 @@ class SpanCategorizerExclusive(TrainablePipe):
         target[negative_samples, self._negative_label] = 1.0  # type: ignore
         d_scores = scores - target
         neg_weight = cast(float, self.cfg["negative_weight"])
-        d_scores[negative_samples] *= neg_weight
+        if neg_weight != 1.0:
+            d_scores[negative_samples] *= neg_weight
         loss = float((d_scores**2).sum())
         return loss, d_scores