hunk.code_window:             update_summary(
                   epoch, train_metrics, eval_metrics, os.path.join(output_dir, 'summary.csv'),
                   write_header=best_metric is None, log_wandb=args.log_wandb)
               if saver is not None:
                   # save proper checkpoint with eval metric
  
hunk.labels: keep keep keep replace keep keep keep
hunk.after_edit:                 write_header=best_metric is None, log_wandb=args.log_wandb and has_wandb)
  
hunk.file_path: train.py
hunk.type: replace
file: from .version import __version__
  from .models import create_model, list_models, is_model, list_modules, model_entrypoint, \
      is_scriptable, is_exportable, set_scriptable, set_exportable
  