chunk_content: ptimizer, and scheduler for training.
  
  
  	Copied
  model, train_dataloader, eval_dataloader, optimizer, lr_scheduler = accelerator.prepare(
      model, train_dataloader, eval_dataloader, optimizer, lr_scheduler
  )
  From here, the remainder of the script handles the training loop, evaluation, and sharing your model to the Hub.
  
  Train
  	
  Run the following command to launch the training script. Earlier, you saved the configuration file to fsdp_config.yam