code: def _distributed_train_model(self, **overrides):
      opt = {**self.base_config, **overrides}
      with testing_utils.tempdir() as tmpdir:
          if "model_file" not in opt:
              opt["model_file"] = os.path.join(tmpdir, "model")
          if "dict_file" not in opt:
              opt["dict_file"] = os.path.join(tmpdir, "model.dict")
  
          parser = mp_train.setup_args()
          popt = parser.parse_kwargs(**opt)
  
          # we need a prebuilt dictionary
          parser = build_dict.setup_args()
          build_dict.build_dict(popt)
  
          valid, test = mp_train.launch_and_train(popt)
  
      return (valid, test)
  
imports: import os
  import unittest
  import parlai.utils.testing
  import parlai.scripts.build_dict
  import parlai.scripts.multiprocessing_train
  import parlai.tasks.integration_tests.agents
label_desc: Use image node_id 1 for calling the _AbstractTest obj's underlying member method code with example usage: obj._distributed_train_model() and returns: valid,  test