[Fix] Remove duplicated wide-resnet metafile.

configs/resnet/metafile.yml

@@ -298,44 +298,6 @@ Models:
           Top 5 Accuracy: 93.80
     Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb256-rsb-a3-100e_in1k_20211228-3493673c.pth
     Config: configs/resnet/resnet50_8xb256-rsb-a3-100e_in1k.py
-  - Name: wide-resnet50_3rdparty_8xb32_in1k
-    Metadata:
-      FLOPs: 11440000000  # 11.44G
-      Parameters: 68880000  # 68.88M
-      Training Techniques:
-        - SGD with Momentum
-        - Weight Decay
-    In Collection: ResNet
-    Results:
-      - Task: Image Classification
-        Dataset: ImageNet-1k
-        Metrics:
-          Top 1 Accuracy: 78.48
-          Top 5 Accuracy: 94.08
-    Weights: https://download.openmmlab.com/mmclassification/v0/resnet/wide-resnet50_3rdparty_8xb32_in1k_20220304-66678344.pth
-    Config: configs/resnet/wide-resnet50_8xb32_in1k.py
-    Converted From:
-      Weights: https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth
-      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py
-  - Name: wide-resnet101_3rdparty_8xb32_in1k
-    Metadata:
-      FLOPs: 22810000000  # 22.81G
-      Parameters: 126890000 # 126.89M
-      Training Techniques:
-        - SGD with Momentum
-        - Weight Decay
-    In Collection: ResNet
-    Results:
-      - Task: Image Classification
-        Dataset: ImageNet-1k
-        Metrics:
-          Top 1 Accuracy: 78.84
-          Top 5 Accuracy: 94.28
-    Weights: https://download.openmmlab.com/mmclassification/v0/resnet/wide-resnet101_3rdparty_8xb32_in1k_20220304-8d5f9d61.pth
-    Config: configs/resnet/wide-resnet101_8xb32_in1k.py
-    Converted From:
-      Weights: https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth
-      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py
   - Name: resnetv1c50_8xb32_in1k
     Metadata:
       FLOPs: 4360000000