diff --git a/ppcls/optimizer/learning_rate.py b/ppcls/optimizer/learning_rate.py
index f352fd00dce94539f7d504c78e56c4e399fb4c2d..acf48219826a9224349c3ff18c0315ac1917c621 100644
--- a/ppcls/optimizer/learning_rate.py
+++ b/ppcls/optimizer/learning_rate.py
@@ -255,7 +255,7 @@ class Cosine(LRBase):
 
 class Cyclic(LRBase):
     """Cyclic learning rate decay
-    
+
     Args:
         epochs (int): Total epoch(s).
         step_each_epoch (int): Number of iterations within an epoch.
@@ -406,11 +406,17 @@ class Piecewise(LRBase):
                  learning_rate=None,
                  **kwargs):
         if learning_rate:
-            decay_epochs = list(range(0, epochs, 30))[1:]
+            decay_epochs = list(range(0, epochs, 30))
             values = [
-                learning_rate * (0.1**i)
-                for i in range(len(decay_epochs) + 1)
+                learning_rate * (0.1**i) for i in range(len(decay_epochs))
             ]
+            # when total epochs < 30, decay_epochs and values should be
+            # [] and [lr] respectively, but paddle dont support.
+            if len(decay_epochs) == 1:
+                decay_epochs = [epochs]
+                values = [values[0], values[0]]
+            else:
+                decay_epochs = decay_epochs[1:]
             logger.warning(
                 "When 'learning_rate' of Piecewise has beed set, "
                 "the learning rate scheduler would be set by the rule that lr decay 10 times every 30 epochs. "