import tensorflow as tf


		if model_io_config.fix_lm == True:
			scope = model_config.scope + "_finetuning"
		else:
			scope = model_config.scope

		with tf.variable_scope(scope, reuse=model_reuse):
			(loss, 
				per_example_loss, 
				logits) = classifier.classifier(model_config,
											model.get_pooled_output(),
											num_labels,
