diff --git a/embedding_converter/src/training.py b/embedding_converter/src/training.py
index 8333fc8..fbd5e39 100644
--- a/embedding_converter/src/training.py
+++ b/embedding_converter/src/training.py
@@ -46,7 +46,7 @@ class EmbeddingConverterTrainer(LightningModule):
 			source_embedding = self.source_embedder(batch)
 		output_embedding = self(source_embedding)
 		validation_score = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
-		self.log('validation_score', validation_score, prog_bar = True)
+		self.log('validation_score', validation_score, sync_dist = True, prog_bar = True)
 		return validation_score
 
 	def configure_optimizers(self) -> OptimizerSet:
diff --git a/face_swapper/src/training.py b/face_swapper/src/training.py
index 02df9aa..7ab2936 100644
--- a/face_swapper/src/training.py
+++ b/face_swapper/src/training.py
@@ -164,7 +164,7 @@ class FaceSwapperTrainer(LightningModule):
 		output_tensor, _ = self.generator(source_embedding, target_tensor)
 		output_embedding = calc_embedding(self.embedder, output_tensor, (0, 0, 0, 0))
 		validation_score = (nn.functional.cosine_similarity(source_embedding, output_embedding).mean() + 1) * 0.5
-		self.log('validation_score', validation_score, prog_bar = True)
+		self.log('validation_score', validation_score, sync_dist = True, prog_bar = True)
 		return validation_score
 
 	def generate_preview(self, source_tensor : Tensor, target_tensor : Tensor, output_tensor : Tensor, output_mask : Mask) -> None: