diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index 85b272cf170322a78b69c594030d8cd96101f61e..807f32bb828d9a37b8fa94c9e6bdedd7dfeabf90 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -391,7 +391,7 @@ class PostProcessing(RunEnvironment):
         path = self.data_store.get("model_path")
         with open(os.path.join(path, "test_scores.txt"), "a") as f:
             for index, item in enumerate(test_score):
-                logging.info(f"{self.model.metrics_names[index]}, {item}")
+                logging.info(f"{self.model.metrics_names[index]} (test), {item}")
                 f.write(f"{self.model.metrics_names[index]}, {item}\n")
 
     def train_ols_model(self):
diff --git a/mlair/run_modules/training.py b/mlair/run_modules/training.py
index 4409b6438ccaf6a46dc21aaf359425ea52095279..bbb3fabf4dd7c62a71db04cc982544b61d097240 100644
--- a/mlair/run_modules/training.py
+++ b/mlair/run_modules/training.py
@@ -250,4 +250,4 @@ class Training(RunEnvironment):
 
         val_score = self.model.evaluate_generator(generator=self.val_set, use_multiprocessing=True, verbose=0, steps=1)
         for index, item in enumerate(val_score):
-            logging.info(f"{self.model.metrics_names[index]}, {item}")
+            logging.info(f"{self.model.metrics_names[index]} (val), {item}")