diff --git a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_5.yaml b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_5.yaml
index 8bacd5ba58b26f8978ef7b67a2684583cf8e9940..aa9591cf32f2de76dfe31b92b1a9de57e83086e4 100644
--- a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_5.yaml
+++ b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_5.yaml
@@ -48,14 +48,13 @@ Optimizer:
   beta2: 0.999
   epsilon: 1e-8
   weight_decay: 0.05
-  no_weight_decay_name: .bias norm
   one_dim_param_no_weight_decay: True
   lr:
     # for 8 cards
     name: Cosine
     learning_rate: 0.002
     eta_min: 0.0002
-    warmup_epoch: 20  # 20000 iterations
+    warmup_epoch: 16  # 20000 iterations
     warmup_start_lr: 1e-6
     # by_epoch: True
   clip_norm: 10
@@ -107,7 +106,7 @@ DataLoader:
       name: DistributedBatchSampler
       batch_size: 128
       drop_last: False
-      shuffle: False
+      shuffle: True
     loader:
       num_workers: 4
       use_shared_memory: True
diff --git a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_75.yaml b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_75.yaml
index 8ba5fdf93d1ba0e5fac7d20d27cb723964ccf10d..837c1ace98cf8741c3b19a951fd6578c207e8404 100644
--- a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_75.yaml
+++ b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x0_75.yaml
@@ -48,14 +48,13 @@ Optimizer:
   beta2: 0.999
   epsilon: 1e-8
   weight_decay: 0.05
-  no_weight_decay_name: .bias norm
   one_dim_param_no_weight_decay: True
   lr:
     # for 8 cards
     name: Cosine
     learning_rate: 0.002
     eta_min: 0.0002
-    warmup_epoch: 20  # 20000 iterations
+    warmup_epoch: 16  # 20000 iterations
     warmup_start_lr: 1e-6
     # by_epoch: True
   clip_norm: 10
@@ -107,7 +106,7 @@ DataLoader:
       name: DistributedBatchSampler
       batch_size: 128
       drop_last: False
-      shuffle: False
+      shuffle: True
     loader:
       num_workers: 4
       use_shared_memory: True
diff --git a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x1_0.yaml b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x1_0.yaml
index c89cff5b8715467f892eafc163973c73ee8a0345..f9de6f5594dc7a3c37b4b77aec4228ac11d6ff15 100644
--- a/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x1_0.yaml
+++ b/ppcls/configs/ImageNet/MobileViTv3/MobileViTv3_x1_0.yaml
@@ -48,14 +48,13 @@ Optimizer:
   beta2: 0.999
   epsilon: 1e-8
   weight_decay: 0.05
-  no_weight_decay_name: .bias norm
   one_dim_param_no_weight_decay: True
   lr:
     # for 8 cards
     name: Cosine
     learning_rate: 0.002
     eta_min: 0.0002
-    warmup_epoch: 20  # 20000 iterations
+    warmup_epoch: 16  # 20000 iterations
     warmup_start_lr: 1e-6
     # by_epoch: True
   clip_norm: 10
@@ -107,7 +106,7 @@ DataLoader:
       name: DistributedBatchSampler
       batch_size: 128
       drop_last: False
-      shuffle: False
+      shuffle: True
     loader:
       num_workers: 4
       use_shared_memory: True