diff --git a/embedding_converter/README.md b/embedding_converter/README.md
index 502670f..3f940c1 100644
--- a/embedding_converter/README.md
+++ b/embedding_converter/README.md
@@ -47,7 +47,10 @@ target_path = .models/arcface_simswap.pt
 [training.trainer]
 learning_rate = 0.001
 max_epochs = 4096
+strategy = auto
 precision = 16-mixed
+logger_path = .logs
+logger_name = arcface_converter_simswap
 ```
 
 ```
diff --git a/embedding_converter/config.ini b/embedding_converter/config.ini
index cb24d3f..a040687 100644
--- a/embedding_converter/config.ini
+++ b/embedding_converter/config.ini
@@ -13,7 +13,10 @@ target_path =
 [training.trainer]
 learning_rate =
 max_epochs =
+strategy =
 precision =
+logger_path =
+logger_name =
 
 [training.output]
 directory_path =
diff --git a/embedding_converter/src/training.py b/embedding_converter/src/training.py
index 50d42d2..8333fc8 100644
--- a/embedding_converter/src/training.py
+++ b/embedding_converter/src/training.py
@@ -89,15 +89,19 @@ def split_dataset(dataset : Dataset[Tensor]) -> Tuple[Dataset[Tensor], Dataset[T
 
 def create_trainer() -> Trainer:
 	config_max_epochs = CONFIG_PARSER.getint('training.trainer', 'max_epochs')
+	config_strategy = CONFIG_PARSER.get('training.trainer', 'strategy')
 	config_precision = CONFIG_PARSER.get('training.trainer', 'precision')
+	config_logger_path = CONFIG_PARSER.get('training.trainer', 'logger_path')
+	config_logger_name = CONFIG_PARSER.get('training.trainer', 'logger_name')
 	config_directory_path = CONFIG_PARSER.get('training.output', 'directory_path')
 	config_file_pattern = CONFIG_PARSER.get('training.output', 'file_pattern')
-	logger = TensorBoardLogger('.logs', name = 'embedding_converter')
+	logger = TensorBoardLogger(config_logger_path, config_logger_name)
 
 	return Trainer(
 		logger = logger,
 		log_every_n_steps = 10,
 		max_epochs = config_max_epochs,
+		strategy = config_strategy,
 		precision = config_precision,
 		callbacks =
 		[
diff --git a/face_swapper/README.md b/face_swapper/README.md
index 5776b31..fa85087 100644
--- a/face_swapper/README.md
+++ b/face_swapper/README.md
@@ -89,9 +89,11 @@ expression_weight = 0.0
 accumulate_size = 4
 learning_rate = 0.0004
 max_epochs = 50
-precision = 16-mixed
-preview_frequency = 250
 strategy = auto
+precision = 16-mixed
+logger_path = .logs
+logger_name = face_swapper
+preview_frequency = 250
 ```
 
 ```
diff --git a/face_swapper/config.ini b/face_swapper/config.ini
index 1ff4100..79ac834 100644
--- a/face_swapper/config.ini
+++ b/face_swapper/config.ini
@@ -47,9 +47,11 @@ expression_weight =
 accumulate_size =
 learning_rate =
 max_epochs =
-precision =
-preview_frequency =
 strategy =
+precision =
+logger_path =
+logger_name =
+preview_frequency =
 
 [training.output]
 directory_path =
diff --git a/face_swapper/src/training.py b/face_swapper/src/training.py
index 68a0aad..f5a62b0 100644
--- a/face_swapper/src/training.py
+++ b/face_swapper/src/training.py
@@ -208,18 +208,20 @@ def split_dataset(dataset : Dataset[Tensor]) -> Tuple[Dataset[Tensor], Dataset[T
 
 def create_trainer() -> Trainer:
 	config_max_epochs = CONFIG_PARSER.getint('training.trainer', 'max_epochs')
-	config_precision = CONFIG_PARSER.get('training.trainer', 'precision')
 	config_strategy = CONFIG_PARSER.get('training.trainer', 'strategy')
+	config_precision = CONFIG_PARSER.get('training.trainer', 'precision')
+	config_logger_path = CONFIG_PARSER.get('training.trainer', 'logger_path')
+	config_logger_name = CONFIG_PARSER.get('training.trainer', 'logger_name')
 	config_directory_path = CONFIG_PARSER.get('training.output', 'directory_path')
 	config_file_pattern = CONFIG_PARSER.get('training.output', 'file_pattern')
-	logger = TensorBoardLogger('.logs', name = 'face_swapper')
+	logger = TensorBoardLogger(config_logger_path, config_logger_name)
 
 	return Trainer(
 		logger = logger,
 		log_every_n_steps = 10,
 		max_epochs = config_max_epochs,
-		precision = config_precision,
 		strategy = config_strategy,
+		precision = config_precision,
 		callbacks =
 		[
 			ModelCheckpoint(