diff --git a/ultralytics/engine/tuner.py b/ultralytics/engine/tuner.py
index 68a69632..0df109c7 100644
--- a/ultralytics/engine/tuner.py
+++ b/ultralytics/engine/tuner.py
@@ -101,7 +101,8 @@ class Tuner:
             "copy_paste": (0.0, 1.0),  # segment copy-paste (probability)
         }
         self.args = get_cfg(overrides=args)
-        self.tune_dir = get_save_dir(self.args, name="tune")
+        self.tune_dir = get_save_dir(self.args, name=self.args.name or "tune")
+        self.args.name = None  # reset to not affect training directory
         self.tune_csv = self.tune_dir / "tune_results.csv"
         self.callbacks = _callbacks or callbacks.get_default_callbacks()
         self.prefix = colorstr("Tuner: ")
diff --git a/ultralytics/utils/tuner.py b/ultralytics/utils/tuner.py
index 0b0ac765..10a77d56 100644
--- a/ultralytics/utils/tuner.py
+++ b/ultralytics/utils/tuner.py
@@ -1,6 +1,6 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 
-from ultralytics.cfg import TASK2DATA, TASK2METRIC, get_save_dir
+from ultralytics.cfg import TASK2DATA, TASK2METRIC, get_cfg, get_save_dir
 from ultralytics.utils import DEFAULT_CFG, DEFAULT_CFG_DICT, LOGGER, NUM_THREADS, checks
 
 
@@ -134,7 +134,9 @@ def run_ray_tune(
     tuner_callbacks = [WandbLoggerCallback(project="YOLOv8-tune")] if wandb else []
 
     # Create the Ray Tune hyperparameter search tuner
-    tune_dir = get_save_dir(DEFAULT_CFG, name="tune").resolve()  # must be absolute dir
+    tune_dir = get_save_dir(
+        get_cfg(DEFAULT_CFG, train_args), name=train_args.pop("name", "tune")
+    ).resolve()  # must be absolute dir
     tune_dir.mkdir(parents=True, exist_ok=True)
     tuner = tune.Tuner(
         trainable_with_resources,