metafile.yml

Collections:
  - Name: EfficientFormer
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - Pooling
        - 1x1 Convolution
        - LayerScale
        - MetaFormer
    Paper:
      URL: https://arxiv.org/abs/2206.01191
      Title: "EfficientFormer: Vision Transformers at MobileNet Speed"
    README: configs/efficientformer/README.md
    Code:
      Version: v1.0.0rc1
      URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/efficientformer/metafile.yml

Models:
  - Name: efficientformer-l1_3rdparty_8xb128_in1k
    Metadata:
      FLOPs: 1304601088     # 1.3G
      Parameters: 12278696   # 12M
    In Collection: EfficientFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.46
          Top 5 Accuracy: 94.99
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientformer/efficientformer-l1_3rdparty_in1k_20220915-cc3e1ac6.pth
    Config: configs/efficientformer/efficientformer-l1_8xb128_in1k.py
    Converted From:
      Weights: https://drive.google.com/file/d/11SbX-3cfqTOc247xKYubrAjBiUmr818y/view?usp=sharing
      Code: https://github.com/snap-research/EfficientFormer
  - Name: efficientformer-l3_3rdparty_8xb128_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 3737045760        # 3.7G
      Parameters: 31406000     # 31M
    In Collection: EfficientFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.45
          Top 5 Accuracy: 96.18
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientformer/efficientformer-l3_3rdparty_in1k_20220915-466793d6.pth
    Config: configs/efficientformer/efficientformer-l3_8xb128_in1k.py
    Converted From:
      Weights: https://drive.google.com/file/d/1OyyjKKxDyMj-BcfInp4GlDdwLu3hc30m/view?usp=sharing
      Code: https://github.com/snap-research/EfficientFormer
  - Name: efficientformer-l7_3rdparty_8xb128_in1k
    Metadata:
      FLOPs: 10163951616      # 10.2G
      Parameters: 82229328    # 82M
    In Collection: EfficientFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.40
          Top 5 Accuracy: 96.60
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/efficientformer/efficientformer-l7_3rdparty_in1k_20220915-185e30af.pth
    Config: configs/efficientformer/efficientformer-l7_8xb128_in1k.py
    Converted From:
      Weights: https://drive.google.com/file/d/1cVw-pctJwgvGafeouynqWWCwgkcoFMM5/view?usp=sharing
      Code: https://github.com/snap-research/EfficientFormer