diff --git a/ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml b/ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml
index ab50f8a2410034c7f53aa065f309e082f0a70c48..ecf64c0a1d63322de4f1fe6dca31ce504ef912a3 100644
--- a/ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml
+++ b/ppcls/configs/ImageNet/GhostNet/GhostNet_x0_5.yaml
@@ -24,6 +24,7 @@ Loss:
   Train:
     - CELoss:
         weight: 1.0
+        epsilon: 0.1
   Eval:
     - CELoss:
         weight: 1.0
@@ -35,9 +36,10 @@ Optimizer:
   lr:
     name: Cosine
     learning_rate: 0.8
+    warmup_epoch: 5
   regularizer:
     name: 'L2'
-    coeff: 0.0004
+    coeff: 0.00004
 
 
 # data loader for train and eval
diff --git a/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml b/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml
index d28748a915545cae954115c33a4e071900fe9d63..613aef80bde35f60c4832cb1763f069a90bdb938 100644
--- a/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml
+++ b/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_0.yaml
@@ -24,6 +24,7 @@ Loss:
   Train:
     - CELoss:
         weight: 1.0
+        epsilon: 0.1
   Eval:
     - CELoss:
         weight: 1.0
@@ -35,9 +36,10 @@ Optimizer:
   lr:
     name: Cosine
     learning_rate: 0.8
+    warmup_epoch: 5
   regularizer:
     name: 'L2'
-    coeff: 0.0004
+    coeff: 0.00004
 
 
 # data loader for train and eval
diff --git a/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml b/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml
index b6b03c781f8283577c0d6a78a950ed58ce893563..d1d40e0a700f24ff142c6318339e74c9a8f2aa98 100644
--- a/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml
+++ b/ppcls/configs/ImageNet/GhostNet/GhostNet_x1_3.yaml
@@ -24,6 +24,7 @@ Loss:
   Train:
     - CELoss:
         weight: 1.0
+        epsilon: 0.1
   Eval:
     - CELoss:
         weight: 1.0
@@ -35,9 +36,10 @@ Optimizer:
   lr:
     name: Cosine
     learning_rate: 0.8
+    warmup_epoch: 5
   regularizer:
     name: 'L2'
-    coeff: 0.0004
+    coeff: 0.00004
 
 
 # data loader for train and eval