Use `args.name` as `run_name` for MLFlow system. (#3567)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/yolo/utils/callbacks/mlflow.py

@@ -27,6 +27,7 @@ def on_pretrain_routine_end(trainer):
         mlflow.set_tracking_uri(mlflow_location)
 
         experiment_name = os.environ.get('MLFLOW_EXPERIMENT') or trainer.args.project or '/Shared/YOLOv8'
+        run_name = os.environ.get('MLFLOW_RUN') or trainer.args.name
         experiment = mlflow.get_experiment_by_name(experiment_name)
         if experiment is None:
             mlflow.create_experiment(experiment_name)
@@ -36,7 +37,7 @@ def on_pretrain_routine_end(trainer):
         try:
             run, active_run = mlflow, mlflow.active_run()
             if not active_run:
-                active_run = mlflow.start_run(experiment_id=experiment.experiment_id)
+                active_run = mlflow.start_run(experiment_id=experiment.experiment_id, run_name=run_name)
             run_id = active_run.info.run_id
             LOGGER.info(f'{prefix}Using run_id({run_id}) at {mlflow_location}')
             run.log_params(vars(trainer.model.args))