diff --git a/python/mxnet/module/base_module.py b/python/mxnet/module/base_module.py
index 654e41bf3656..cb8f08919d4e 100644
--- a/python/mxnet/module/base_module.py
+++ b/python/mxnet/module/base_module.py
@@ -532,9 +532,6 @@ def fit(self, train_data, eval_data=None, eval_metric='acc',
                 if monitor is not None:
                     monitor.toc_print()
 
-                if end_of_batch:
-                    eval_name_vals = eval_metric.get_name_value()
-
                 if batch_end_callback is not None:
                     batch_end_params = BatchEndParam(epoch=epoch, nbatch=nbatch,
                                                      eval_metric=eval_metric,
@@ -543,9 +540,6 @@ def fit(self, train_data, eval_data=None, eval_metric='acc',
                         callback(batch_end_params)
                 nbatch += 1
 
-            # one epoch of training is finished
-            for name, val in eval_name_vals:
-                self.logger.info('Epoch[%d] Train-%s=%f', epoch, name, val)
             toc = time.time()
             self.logger.info('Epoch[%d] Time cost=%.3f', epoch, (toc-tic))