diff --git a/ppcls/configs/Cartoonface/ResNet50_icartoon.yaml b/ppcls/configs/Cartoonface/ResNet50_icartoon.yaml
index 8113cb3efd48d0f35c31c6b3436c527000963170..69265ec35439608452db5f3ca318447aa70713cf 100644
--- a/ppcls/configs/Cartoonface/ResNet50_icartoon.yaml
+++ b/ppcls/configs/Cartoonface/ResNet50_icartoon.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 5013
   save_interval: 1
   eval_mode: "retrieval"
   eval_during_train: True
diff --git a/ppcls/configs/Logo/ResNet50_ReID.yaml b/ppcls/configs/Logo/ResNet50_ReID.yaml
index 0fb52194a9fe195567398d5fee066cba488da091..90ec5caad21f7ff4b203dcd97ddd8e4b69ee0f29 100644
--- a/ppcls/configs/Logo/ResNet50_ReID.yaml
+++ b/ppcls/configs/Logo/ResNet50_ReID.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 3000
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
diff --git a/ppcls/configs/Products/ResNet50_vd_Aliproduct.yaml b/ppcls/configs/Products/ResNet50_vd_Aliproduct.yaml
index 4c951af8640fb871b5b69384546f08e001fe7232..121087041d70fbcaafbc4721e366b8f349cbcfc1 100644
--- a/ppcls/configs/Products/ResNet50_vd_Aliproduct.yaml
+++ b/ppcls/configs/Products/ResNet50_vd_Aliproduct.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 50030
   save_interval: 1
   eval_during_train: True
   eval_interval: 10
diff --git a/ppcls/configs/Products/ResNet50_vd_Inshop.yaml b/ppcls/configs/Products/ResNet50_vd_Inshop.yaml
index d4e41653a9af1bf6325b91e4494304672a35f363..0a0e272505f26ac0cda105d1e79e8e9989f1c301 100644
--- a/ppcls/configs/Products/ResNet50_vd_Inshop.yaml
+++ b/ppcls/configs/Products/ResNet50_vd_Inshop.yaml
@@ -6,7 +6,6 @@ Global:
   pretrained_model: product_ResNet50_vd_Aliproduct_v1.0_pretrained
   output_dir: ./output/
   device: gpu
-  class_num: 3997
   save_interval: 10
   eval_during_train: True
   eval_interval: 10
diff --git a/ppcls/configs/Products/ResNet50_vd_SOP.yaml b/ppcls/configs/Products/ResNet50_vd_SOP.yaml
index df82b010528b799890f4dc7cc1b9059706f3d2db..795fb0265073d4135ed6c479bd3dfdc6ec71d67b 100644
--- a/ppcls/configs/Products/ResNet50_vd_SOP.yaml
+++ b/ppcls/configs/Products/ResNet50_vd_SOP.yaml
@@ -6,7 +6,6 @@ Global:
   pretrained_model: product_ResNet50_vd_Aliproduct_v1.0_pretrained
   output_dir: ./output/
   device: gpu
-  class_num: 11319
   save_interval: 10
   eval_during_train: True
   eval_interval: 10
diff --git a/ppcls/configs/Vehicle/ResNet50.yaml b/ppcls/configs/Vehicle/ResNet50.yaml
index 287e6c9862dc14263543eccb9351115ba79e0136..c1dd668c616a377b0ccf181c0056d9173d47b0d0 100644
--- a/ppcls/configs/Vehicle/ResNet50.yaml
+++ b/ppcls/configs/Vehicle/ResNet50.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 431
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
diff --git a/ppcls/configs/Vehicle/ResNet50_ReID.yaml b/ppcls/configs/Vehicle/ResNet50_ReID.yaml
index 3232088fe22b089f95dd76e54227e296fc94dbcc..f5644bd065bfa523bd4020598ece6bc2c51d01a2 100644
--- a/ppcls/configs/Vehicle/ResNet50_ReID.yaml
+++ b/ppcls/configs/Vehicle/ResNet50_ReID.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 30671
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
diff --git a/ppcls/configs/quick_start/MobileNetV1_retrieval.yaml b/ppcls/configs/quick_start/MobileNetV1_retrieval.yaml
index 17c8f1ba81b2ec134de2cf8cceb1f8237d1bd43a..99f9a12508517eabd0de1b0e402d115afb659a29 100644
--- a/ppcls/configs/quick_start/MobileNetV1_retrieval.yaml
+++ b/ppcls/configs/quick_start/MobileNetV1_retrieval.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 101
   save_interval: 5
   eval_during_train: True
   eval_interval: 1
diff --git a/ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml b/ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml
index 2156ec84858d467d9ebc05e594a7cd5aec2c87ab..394f201ccce4eb4d9d9c6342fac6c572b30e52ee 100644
--- a/ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml
+++ b/ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 102
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x1_0
+  class_num: 102
  
 # loss function config for traing/eval process
 Loss:
diff --git a/ppcls/configs/quick_start/new_user/ShuffleNetV2_x0_25.yaml b/ppcls/configs/quick_start/new_user/ShuffleNetV2_x0_25.yaml
index 05739ac8575fde6cd22183ee9c6dc3e47d78f3fb..f58522c1eecf85ba53352f1dde0d9170435d492e 100644
--- a/ppcls/configs/quick_start/new_user/ShuffleNetV2_x0_25.yaml
+++ b/ppcls/configs/quick_start/new_user/ShuffleNetV2_x0_25.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: cpu
-  class_num: 102
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ShuffleNetV2_x0_25
+  class_num: 102
  
 # loss function config for traing/eval process
 Loss:
diff --git a/ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml b/ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml
index 72e1bf98c64e5ebd89568586a9393cf1032b21c8..f0b864d3fe56e02991ec27c4301889f512b25636 100644
--- a/ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml
+++ b/ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: MobileNetV3_large_x1_0
+  class_num: 100
  
 # loss function config for traing/eval process
 Loss:
diff --git a/ppcls/configs/quick_start/professional/R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml b/ppcls/configs/quick_start/professional/R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml
index 146e868a58fd775acf6be4900add30dc9459526b..b2447c2b406d5ff31e9ce259a918cee6baa41e09 100644
--- a/ppcls/configs/quick_start/professional/R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml
+++ b/ppcls/configs/quick_start/professional/R50_vd_distill_MV3_large_x1_0_CIFAR100.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: "./output/"
   device: "gpu"
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -27,9 +26,11 @@ Arch:
   models:
     - Teacher:
         name: ResNet50_vd
+        class_num: 100
         pretrained: "./pretrained/best_model"
     - Student:
         name: MobileNetV3_large_x1_0
+        class_num: 100
         pretrained: True
 
   infer_model_name: "Student"
diff --git a/ppcls/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml b/ppcls/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml
index 32890e51920e46113d832bc5339b95f4921b5654..3977969057f899c9b7ea62228c6f98021d3be59b 100644
--- a/ppcls/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml
+++ b/ppcls/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50_vd
+  class_num: 100
  
 # loss function config for traing/eval process
 Loss:
diff --git a/ppcls/configs/quick_start/professional/ResNet50_vd_mixup_CIFAR100_finetune.yaml b/ppcls/configs/quick_start/professional/ResNet50_vd_mixup_CIFAR100_finetune.yaml
index 8c1716a7d11ce20be439a930666076f2bd6fe3de..3e09ae58f4652a33d43e7e3cc5d5832433a6a235 100644
--- a/ppcls/configs/quick_start/professional/ResNet50_vd_mixup_CIFAR100_finetune.yaml
+++ b/ppcls/configs/quick_start/professional/ResNet50_vd_mixup_CIFAR100_finetune.yaml
@@ -4,7 +4,6 @@ Global:
   pretrained_model: null
   output_dir: ./output/
   device: gpu
-  class_num: 100
   save_interval: 1
   eval_during_train: True
   eval_interval: 1
@@ -18,6 +17,7 @@ Global:
 # model architecture
 Arch:
   name: ResNet50_vd
+  class_num: 100
  
 # loss function config for traing/eval process
 Loss: