tensorflow/models · error · ValueError

Unsupported mode is specified: %s

Error message

Unsupported mode is specified: %s

What it means

Error "Unsupported mode is specified: %s" thrown in tensorflow/models.

Source

Thrown at official/legacy/bert/run_classifier.py:487

          latest_checkpoint_file).assert_existing_objects_matched()
      preds, _ = get_predictions_and_labels(
          strategy,
          classifier_model,
          eval_input_fn,
          is_regression=(num_labels == 1),
          return_probs=True)
    output_predict_file = os.path.join(FLAGS.model_dir, 'test_results.tsv')
    with tf.io.gfile.GFile(output_predict_file, 'w') as writer:
      logging.info('***** Predict results *****')
      for probabilities in preds:
        output_line = '\t'.join(
            str(class_probability)
            for class_probability in probabilities) + '\n'
        writer.write(output_line)
    return

  if FLAGS.mode != 'train_and_eval':
    raise ValueError('Unsupported mode is specified: %s' % FLAGS.mode)
  train_input_fn = get_dataset_fn(
      FLAGS.train_data_path,
      input_meta_data['max_seq_length'],
      FLAGS.train_batch_size,
      is_training=True,
      label_type=label_type,
      include_sample_weights=include_sample_weights,
      num_samples=FLAGS.train_data_size)
  run_bert(
      strategy,
      input_meta_data,
      bert_config,
      train_input_fn,
      eval_input_fn,
      custom_callbacks=custom_callbacks,
      custom_metrics=custom_metrics)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/bert/run_classifier.py:487 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/24d96f19034da283. Report an issue: GitHub.