diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py
index b417d40484028..0376a0f745f6f 100644
--- a/pytorch_lightning/trainer/trainer.py
+++ b/pytorch_lightning/trainer/trainer.py
@@ -1304,10 +1304,12 @@ def _run_predict(self) -> Optional[_PREDICT_OUTPUT]:
             return self.predict_loop.run()
 
     def _run_sanity_check(self, ref_model):
-        using_val_step = self._data_connector._val_dataloader_source.is_defined() and is_overridden(
-            "validation_step", ref_model
+        should_sanity_check = (
+            self.enable_validation
+            and self.num_sanity_val_steps > 0
+            # do not sanity check if restarting because it would mess up the loaded state
+            and not self._evaluation_loop.restarting
         )
-        should_sanity_check = using_val_step and self.num_sanity_val_steps > 0 and self.limit_val_batches > 0
 
         # run tiny validation (if validation defined)
         # to make sure program won't crash during val
@@ -1780,9 +1782,11 @@ def _should_reload_dl_epoch(self) -> bool:
     @property
     def enable_validation(self) -> bool:
         """Check if we should run validation during training."""
-        model_ref = self.lightning_module
-        val_loop_enabled = is_overridden("validation_step", model_ref) and self.limit_val_batches > 0
-        return val_loop_enabled
+        return (
+            self._data_connector._val_dataloader_source.is_defined()
+            and is_overridden("validation_step", self.lightning_module)
+            and self.limit_val_batches > 0
+        )
 
     @property
     def default_root_dir(self) -> str: