diff --git a/configs/finetune/ResNet50_vd_ssld_finetune.yaml b/configs/finetune/ResNet50_vd_ssld_finetune.yaml
deleted file mode 100644
index e21414a02ca154a06e0240c5dd0dfc7876e60204..0000000000000000000000000000000000000000
--- a/configs/finetune/ResNet50_vd_ssld_finetune.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-mode: 'train'
-ARCHITECTURE:
-    name: 'ResNet50_vd'
-    params:
-        lr_mult_list: [0.1, 0.1, 0.2, 0.2, 0.3]
-pretrained_model: "./pretrained/ResNet50_vd_ssld_pretrained"
-model_save_dir: "./output/"
-classes_num: 102
-total_images: 1020
-save_interval: 1
-validate: True
-valid_interval: 1
-epochs: 40
-topk: 5
-image_shape: [3, 224, 224]
-
-ls_epsilon: 0.1
-
-LEARNING_RATE:
-    function: 'Cosine'          
-    params:                   
-        lr: 0.00375
-
-OPTIMIZER:
-    function: 'Momentum'
-    params:
-        momentum: 0.9
-    regularizer:
-        function: 'L2'
-        factor: 0.000001
-
-TRAIN:
-    batch_size: 32
-    num_workers: 4
-    file_list: "./dataset/flowers102/train_list.txt"
-    data_dir: "./dataset/flowers102/"
-    shuffle_seed: 0
-    transforms:
-        - DecodeImage:
-            to_rgb: True
-            to_np: False
-            channel_first: False
-        - RandCropImage:
-            size: 224
-        - RandFlipImage:
-            flip_code: 1
-        - NormalizeImage:
-            scale: 1./255.
-            mean: [0.485, 0.456, 0.406]
-            std: [0.229, 0.224, 0.225]
-            order: ''
-        - ToCHWImage:
-
-VALID:
-    batch_size: 32
-    num_workers: 4
-    file_list: "./dataset/flowers102/val_list.txt"
-    data_dir: "./dataset/flowers102/"
-    shuffle_seed: 0
-    transforms:
-        - DecodeImage:
-            to_rgb: True
-            to_np: False
-            channel_first: False
-        - ResizeImage:
-            resize_short: 256
-        - CropImage:
-            size: 224
-        - NormalizeImage:
-            scale: 1.0/255.0
-            mean: [0.485, 0.456, 0.406]
-            std: [0.229, 0.224, 0.225]
-            order: ''
-        - ToCHWImage: