code: def run_multi_task_exp(args):
      # Total train data num = 1149722 (for all five tasks)
      if "codet5_small" in args.model_tag:
          bs, lr, max_steps, save_steps, log_steps = (
              60,
              5,
              600000,
              20000,
              100,
          )
      else:
          bs, lr, max_steps, save_steps, log_steps = (
              25,
              5,
              800000,
              20000,
              100,
          )
  
      if args.data_num != -1:
          max_steps, save_steps, log_steps = 1000, 200, 50
      print(
          "============================Start Running=========================="
      )
      cmd_str = get_cmd(
          task="multi_task",
          sub_task="none",
          model_tag=args.model_tag,
          gpu=args.gpu,
          data_num=args.data_num,
          bs=bs,
          lr=lr,
          source_length=-1,
          target_length=-1,
          patience=-1,
          epoch=-1,
          warmup=1000,
          model_dir=args.model_dir,
          summary_dir=args.summary_dir,
          res_fn="{}/multi_task_{}.txt".format(
              args.res_dir, args.model_tag
          ),
          max_steps=max_steps,
          save_steps=save_steps,
          log_steps=log_steps,
      )
      print("%s\n" % cmd_str)
      os.system(cmd_str)
  
imports: import os
  import argparse
label_desc: Use image node_id 4 for calling a global function with example usage: run_multi_task_exp(args) without return types