Print training values at beginning of training

def on_train_begin(self, logs):
        """ Print training values at beginning of training """
        self.train_start = timeit.default_timer()
        self.metrics_names = self.model.metrics_names
        print('Training for {} steps ...'.format(self.params['nb_steps']))