import tensorflow as tf

        if not tf.gfile.Exists(eval_file) or not FLAGS.data_converted:
            file_based_convert_examples_to_features(
                eval_examples, label_list, FLAGS.max_seq_length, tokenizer, eval_file)

        tf.logging.info("***** Running evaluation *****")
        tf.logging.info("  Num examples = %d (%d actual, %d padding)",
                        len(eval_examples), num_actual_eval_examples,
                        len(eval_examples) - num_actual_eval_examples)
