code: def main():
      args = initialize()
      (
          tokenizer,
          model,
          optimizer,
          lr_scheduler,
          optim_manager,
      ) = setup_model_and_optimizer(args)
      finetune(
          args, tokenizer, model, optimizer, lr_scheduler, optim_manager
      )
  
imports: import time
  from typing import Dict, List, Union
  import torch
  import bmtrain
  import os
  from opendelta import LoraModel
  from cpm_live.arguments import get_args
  from cpm_live.models import CPMBee, CPMBeeConfig
  from cpm_live.tokenizers import CPMBeeTokenizer
  from cpm_live.utils import allgather_objects
  from cpm_live.training_tasks.bee import FinetuneDataset
label_desc: Use image node_id 11 for calling a global function with example usage: main() without return types