diff --git a/spacy/language.py b/spacy/language.py
index aa57989ac..204b24ecb 100644
--- a/spacy/language.py
+++ b/spacy/language.py
@@ -701,7 +701,8 @@ class Language:
         if (
             self.vocab.vectors.shape != source.vocab.vectors.shape
             or self.vocab.vectors.key2row != source.vocab.vectors.key2row
-            or self.vocab.vectors.to_bytes() != source.vocab.vectors.to_bytes()
+            or self.vocab.vectors.to_bytes(exclude=["strings"])
+            != source.vocab.vectors.to_bytes(exclude=["strings"])
         ):
             warnings.warn(Warnings.W113.format(name=source_name))
         if source_name not in source.component_names:
@@ -1822,7 +1823,9 @@ class Language:
                         )
                     if model not in source_nlp_vectors_hashes:
                         source_nlp_vectors_hashes[model] = hash(
-                            source_nlps[model].vocab.vectors.to_bytes()
+                            source_nlps[model].vocab.vectors.to_bytes(
+                                exclude=["strings"]
+                            )
                         )
                     if "_sourced_vectors_hashes" not in nlp.meta:
                         nlp.meta["_sourced_vectors_hashes"] = {}
diff --git a/spacy/training/initialize.py b/spacy/training/initialize.py
index 13ccfeb93..084204389 100644
--- a/spacy/training/initialize.py
+++ b/spacy/training/initialize.py
@@ -132,7 +132,7 @@ def init_vocab(
         logger.info(f"Added vectors: {vectors}")
     # warn if source model vectors are not identical
     sourced_vectors_hashes = nlp.meta.pop("_sourced_vectors_hashes", {})
-    vectors_hash = hash(nlp.vocab.vectors.to_bytes())
+    vectors_hash = hash(nlp.vocab.vectors.to_bytes(exclude=["strings"]))
     for sourced_component, sourced_vectors_hash in sourced_vectors_hashes.items():
         if vectors_hash != sourced_vectors_hash:
             warnings.warn(Warnings.W113.format(name=sourced_component))