diff --git a/embedding_converter/src/training.py b/embedding_converter/src/training.py
index f30c22f..a6ca04f 100644
--- a/embedding_converter/src/training.py
+++ b/embedding_converter/src/training.py
@@ -13,7 +13,7 @@ from torchdata.stateful_dataloader import StatefulDataLoader
 
 from .dataset import StaticDataset
 from .models.embedding_converter import EmbeddingConverter
-from .types import Batch, Embedding, OptimizerConfig
+from .types import Batch, Embedding, OptimizerSet
 
 CONFIG = configparser.ConfigParser()
 CONFIG.read('config.ini')
@@ -54,7 +54,7 @@ class EmbeddingConverterTrainer(lightning.LightningModule):
 		self.log('validation_score', validation_score, prog_bar = True)
 		return validation_score
 
-	def configure_optimizers(self) -> OptimizerConfig:
+	def configure_optimizers(self) -> OptimizerSet:
 		optimizer = torch.optim.Adam(self.parameters(), lr = self.config.get('learning_rate'))
 		scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer)
 		config =\
diff --git a/embedding_converter/src/types.py b/embedding_converter/src/types.py
index 0c89451..a893b5f 100644
--- a/embedding_converter/src/types.py
+++ b/embedding_converter/src/types.py
@@ -1,4 +1,4 @@
-from typing import Any, TypeAlias, Dict
+from typing import Any, Dict, TypeAlias
 
 from torch import Tensor
 
@@ -6,4 +6,4 @@ Batch : TypeAlias = Tensor
 Embedding : TypeAlias = Tensor
 
 Config : TypeAlias = Dict[str, Any]
-OptimizerConfig : TypeAlias = Any
+OptimizerSet : TypeAlias = Any