diff --git a/tools/program.py b/tools/program.py
index 33e087d7085a9b7cdd5b5b385d7f5ea05a38e06a..5cee1f80f58349cc6d9ca040c4e6fee1f4d509ef 100644
--- a/tools/program.py
+++ b/tools/program.py
@@ -385,19 +385,20 @@ def run(dataloader, exe, program, fetchs, epoch=0, mode='train'):
             metric_list[i].update(m[0], len(batch[0]))
         fetchs_str = ''.join([str(m.value) + ' '
                               for m in metric_list] + [batch_time.value])
-        if epoch != -1:
+        if mode == 'valid':
+            logger.info("{:s} step:{:<4d} {:s}s".format(mode, idx, fetchs_str))
+        else:
             logger.info("epoch:{:<3d} {:s} step:{:<4d} {:s}s".format(
                 epoch, mode, idx, fetchs_str))
-        else:
-            logger.info("{:s} step:{:<4d} {:s}s".format(mode, idx, fetchs_str))
 
     end_str = ''.join([str(m.mean) + ' '
                        for m in metric_list] + [batch_time.total])
-    if epoch != -1:
-        logger.info("END epoch:{:<3d} {:s} {:s}s".format(epoch, mode, end_str))
-    else:
+    if mode == 'valid':
         logger.info("END {:s} {:s}s".format(mode, end_str))
+    else:
+        logger.info("END epoch:{:<3d} {:s} {:s}s".format(epoch, mode, end_str))
 
     # save the best model
-    top1_acc = fetchs["top1"][1].avg
-    return top1_acc
+    if mode == 'valid':
+        top1_acc = fetchs["top1"][1].avg
+        return top1_acc