code: def on_fit_per_run_start_message(save_path, validation_metric_name):
      return f"""\
  
  AutoMM starts to create your model. ✨✨✨
  
  To track the learning progress, you can open a terminal and launch Tensorboard:
      ```shell
      # Assume you have installed tensorboard
      tensorboard --logdir {save_path}
      ```
  """
  
file_path: autogluon/multimodal/src/autogluon/multimodal/utils/log.py
imports: import datetime
  import logging
  import os
  from contextlib import contextmanager
  from typing import Dict, List, Optional, Tuple, Union
  import pytz
  import torch
  from autogluon.common.utils.system_info import get_ag_system_info
label_desc: Use image node_id 6 for calling a global function with example usage: on_fit_per_run_start_message(save_path, validation_metric_name) and returns: str, save_path, str