metafile.yml

Models:
  - Name: l1-norm_resnet34_8xb32_in1k_a
    In Collection: L1-norm
    Config: configs/pruning/mmcls/l1-norm/l1-norm_resnet34_8xb32_in1k_a.py
    Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/pruning/l1-norm/l1-norm_resnet34_8xb32_in1k_a.pth
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 73.61
  - Name: l1-norm_resnet34_8xb32_in1k_b
    In Collection: L1-norm
    Config: configs/pruning/mmcls/l1-norm/l1-norm_resnet34_8xb32_in1k_b.py
    Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/pruning/l1-norm/l1-norm_resnet34_8xb32_in1k_b.pth
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 73.20
  - Name: l1-norm_resnet34_8xb32_in1k_c
    In Collection: L1-norm
    Config: configs/pruning/mmcls/l1-norm/l1-norm_resnet34_8xb32_in1k_c.py
    Weights: https://openmmlab-share.oss-cn-hangzhou.aliyuncs.com/mmrazor/v1/pruning/l1-norm/l1-norm_resnet34_8xb32_in1k_c.pth
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 73.89