tensorflow/models · error · ValueError

Unexpected that both %s and %s are in config.

Error message

Unexpected that both %s and %s are in config.

What it means

Error "Unexpected that both %s and %s are in config." thrown in tensorflow/models.

Source

Thrown at official/nlp/finetuning/binary_helper.py:103

    return {}

  try:
    encoder_config = encoders.EncoderConfig()
    encoder_config = hyperparams.override_params_dict(
        encoder_config, model_config_file, is_strict=True)
    logging.info('Load encoder_config yaml file from %s.', model_config_file)
    return encoder_config.as_dict()
  except KeyError:
    pass

  logging.info('Load bert config json file from %s', model_config_file)
  with tf.io.gfile.GFile(model_config_file, 'r') as reader:
    text = reader.read()
    config = json.loads(text)

  def get_value(key1, key2):
    if key1 in config and key2 in config:
      raise ValueError('Unexpected that both %s and %s are in config.' %
                       (key1, key2))

    return config[key1] if key1 in config else config[key2]

  def get_value_or_none(key):
    return config[key] if key in config else None

  # Support both legacy bert_config attributes and the new config attributes.
  return {
      'bert': {
          'attention_dropout_rate':
              get_value('attention_dropout_rate',
                        'attention_probs_dropout_prob'),
          'dropout_rate':
              get_value('dropout_rate', 'hidden_dropout_prob'),
          'hidden_activation':
              get_value('hidden_activation', 'hidden_act'),
          'hidden_size':

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/finetuning/binary_helper.py:103 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/5da1fb7f810e0e61. Report an issue: GitHub.