code: def get_state(self):
      return {
          "best_val_state": self.best_val_state,
          "best_state_dict": self.best_state_dict,
          "train_state": self.train_state,
      }
  
imports: from dataclasses import dataclass
  from typing import Dict
  import torch.nn
  import jiant.proj.main.runner
  import jiant.proj.main.components.task_sampler
  from jiant.shared.runner import save_model_with_metadata, compare_steps_max_steps
  from jiant.utils.python.datastructures import ExtendedDataClassMixin
  from jiant.utils.python.functional import always_false
  from jiant.utils.torch_utils import copy_state_dict, CPU_DEVICE, get_model_for_saving
  from jiant.utils.zlog import BaseZLogger, PRINT_LOGGER
  from jiant.shared.metarunner import AbstractMetarunner
label_desc: Use image node_id 16 for calling the JiantMetarunner obj's underlying member method code with example usage: obj.get_state() and returns: dict