code: def get_config(error_on_invalid_keywords=True, **kwargs):
      """
      Gets a config object containing all the default parameters for each variant of the model.
  
      :param **kwargs: Keyword arguments to override default values.
      :return: Config object."""
      if error_on_invalid_keywords:
          assert_valid_config(**kwargs)
      config = get_default_config()
      config.base_model = kwargs.get("base_model", config.base_model)
      config.update(config.base_model.settings)
      config.update(kwargs)
      return config
  
imports: import logging
  import os
  import os.path
  import warnings
  from collections import namedtuple
  from functools import lru_cache
  import numpy
  from nltk.metrics.distance import edit_distance
  import finetune
  from finetune.errors import FinetuneError
  from finetune.base_models import RoBERTa
  import tensorflow
label_desc: Use image node_id 6 for calling a global function with example usage: get_config(error_on_invalid_keywords) and returns: config