import tensorflow as tf

        filed_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", len(eval_examples))
        tf.logging.info("  Batch size = %d", FLAGS.eval_batch_size)
        eval_steps = None
        if FLAGS.use_tpu:
            eval_steps = int(len(eval_examples) / FLAGS.eval_batch_size)
        eval_drop_remainder = True if FLAGS.use_tpu else False
