diff --git a/segment/train.py b/segment/train.py
index 5121c5fa784a..26f0d0c13c78 100644
--- a/segment/train.py
+++ b/segment/train.py
@@ -651,7 +651,7 @@ def main(opt, callbacks=Callbacks()):
             results = train(hyp.copy(), opt, device, callbacks)
             callbacks = Callbacks()
             # Write mutation results
-            print_mutation(results, hyp.copy(), save_dir, opt.bucket)
+            print_mutation(KEYS, results, hyp.copy(), save_dir, opt.bucket)
 
         # Plot results
         plot_evolve(evolve_csv)
diff --git a/train.py b/train.py
index 9efece250581..177e081c8c37 100644
--- a/train.py
+++ b/train.py
@@ -607,7 +607,9 @@ def main(opt, callbacks=Callbacks()):
             results = train(hyp.copy(), opt, device, callbacks)
             callbacks = Callbacks()
             # Write mutation results
-            print_mutation(results, hyp.copy(), save_dir, opt.bucket)
+            keys = ('metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95', 'val/box_loss',
+                    'val/obj_loss', 'val/cls_loss')
+            print_mutation(keys, results, hyp.copy(), save_dir, opt.bucket)
 
         # Plot results
         plot_evolve(evolve_csv)
diff --git a/utils/general.py b/utils/general.py
index d31b043a113e..e2faca9dbf2a 100644
--- a/utils/general.py
+++ b/utils/general.py
@@ -957,11 +957,10 @@ def strip_optimizer(f='best.pt', s=''):  # from utils.general import *; strip_op
     LOGGER.info(f"Optimizer stripped from {f},{f' saved as {s},' if s else ''} {mb:.1f}MB")
 
 
-def print_mutation(results, hyp, save_dir, bucket, prefix=colorstr('evolve: ')):
+def print_mutation(keys, results, hyp, save_dir, bucket, prefix=colorstr('evolve: ')):
     evolve_csv = save_dir / 'evolve.csv'
     evolve_yaml = save_dir / 'hyp_evolve.yaml'
-    keys = ('metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95', 'val/box_loss',
-            'val/obj_loss', 'val/cls_loss') + tuple(hyp.keys())  # [results + hyps]
+    keys = tuple(keys) + tuple(hyp.keys())  # [results + hyps]
     keys = tuple(x.strip() for x in keys)
     vals = results + tuple(hyp.values())
     n = len(keys)