diff --git a/train.py b/train.py
index d5191d56017..faff65371d9 100644
--- a/train.py
+++ b/train.py
@@ -476,7 +476,7 @@ def train(hyp, opt, device, callbacks):  # hyp is path/to/hyp.yaml or hyp dictio
 
     total_training_hours = (time.time() - t0) / 3600
     if RANK in {-1, 0}:
-        LOGGER.info(f'\n{epoch - start_epoch + 1} epochs completed in {total_training_hours:.3f} hours.')
+        LOGGER.info(f"\n{epoch - start_epoch + 1} epochs completed in {total_training_hours:.3f} hours.")
         for f in last, best:
             if f.exists():
                 strip_optimizer(f)  # strip optimizers
@@ -500,7 +500,7 @@ def train(hyp, opt, device, callbacks):  # hyp is path/to/hyp.yaml or hyp dictio
                     if is_coco:
                         callbacks.run("on_fit_epoch_end", list(mloss) + list(results) + lr, epoch, best_fitness, fi)
 
-        callbacks.run('on_train_end', last, best, epoch, results, total_training_hours)
+        callbacks.run("on_train_end", last, best, epoch, results, total_training_hours)
 
     torch.cuda.empty_cache()
     return results
diff --git a/utils/loggers/__init__.py b/utils/loggers/__init__.py
index 97867f6a1f7..f1d051df254 100644
--- a/utils/loggers/__init__.py
+++ b/utils/loggers/__init__.py
@@ -103,7 +103,7 @@ def __init__(self, save_dir=None, weights=None, opt=None, hyp=None, logger=None,
         self.csv = True  # always log to csv
         self.ndjson_console = "ndjson_console" in self.include  # log ndjson to console
         self.ndjson_file = "ndjson_file" in self.include  # log ndjson to file
-        self.metrics = True # log to metrics file at the end of the run
+        self.metrics = True  # log to metrics file at the end of the run
         # Messages
         if not comet_ml:
             prefix = colorstr("Comet: ")
@@ -304,10 +304,16 @@ def on_train_end(self, last, best, epoch, results, total_train_time):
                 self.tb.add_image(f.stem, cv2.imread(str(f))[..., ::-1], epoch, dataformats="HWC")
 
         if self.metrics:
-            file = self.save_dir / 'metrics.json'
-            m={"precision":results[0],"recall":results[1],"mAP_0_5":results[2],"mAP_0_5-0_95":results[3], "total_train_hours":total_train_time}
-
-            with open(file, 'w') as f:
+            file = self.save_dir / "metrics.json"
+            m = {
+                "precision": results[0],
+                "recall": results[1],
+                "mAP_0_5": results[2],
+                "mAP_0_5-0_95": results[3],
+                "total_train_hours": total_train_time,
+            }
+
+            with open(file, "w") as f:
                 f.write(json.dumps(m))
 
         if self.wandb: