metafile.yml

Collections:
  - Name: DeiT3
    Metadata:
      Architecture:
        - Attention Dropout
        - Convolution
        - Dense Connections
        - Dropout
        - GELU
        - Layer Normalization
        - Multi-Head Attention
        - Scaled Dot-Product Attention
        - Tanh Activation
    Paper:
      URL: https://arxiv.org/abs/2204.07118
      Title: 'DeiT III: Revenge of the ViT'
    README: configs/deit3/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc2/mmcls/models/backbones/deit3.py
      Version: v1.0.0rc2

Models:
  - Name: deit3-small-p16_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 4607954304
      Parameters: 22059496
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 81.35
        Top 5 Accuracy: 95.31
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k_20221008-0f7c70cf.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
  - Name: deit3-small-p16_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 15517663104
      Parameters: 22205416
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 83.43
        Top 5 Accuracy: 96.68
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k-384px_20221008-a2c1a0c7.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
  - Name: deit3-small-p16_in21k-pre_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 4607954304
      Parameters: 22059496
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 83.06
        Top 5 Accuracy: 96.77
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k_20221009-dcd90827.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
  - Name: deit3-small-p16_in21k-pre_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 15517663104
      Parameters: 22205416
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 84.84
        Top 5 Accuracy: 97.48
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k-384px_20221009-de116dd7.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
  - Name: deit3-medium-p16_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 8003064320
      Parameters: 38849512
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 82.99
        Top 5 Accuracy: 96.22
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_3rdparty_in1k_20221008-3b21284d.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
  - Name: deit3-medium-p16_in21k-pre_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 8003064320
      Parameters: 38849512
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 84.56
        Top 5 Accuracy: 97.19
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_in21k-pre_3rdparty_in1k_20221009-472f11e2.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
  - Name: deit3-base-p16_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 17581972224
      Parameters: 86585320
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 83.80
        Top 5 Accuracy: 96.55
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k_20221008-60b8c8bf.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
  - Name: deit3-base-p16_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 55538974464
      Parameters: 86877160
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 85.08
        Top 5 Accuracy: 97.25
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k-384px_20221009-e19e36d4.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
  - Name: deit3-base-p16_in21k-pre_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 17581972224
      Parameters: 86585320
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 85.70
        Top 5 Accuracy: 97.75
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k_20221009-87983ca1.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
  - Name: deit3-base-p16_in21k-pre_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 55538974464
      Parameters: 86877160
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 86.73
        Top 5 Accuracy: 98.11
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k-384px_20221009-5e4e37b9.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
  - Name: deit3-large-p16_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 61603111936
      Parameters: 304374760
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 84.87
        Top 5 Accuracy: 97.01
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k_20221009-03b427ea.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
  - Name: deit3-large-p16_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 191210034176
      Parameters: 304763880
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 85.82
        Top 5 Accuracy: 97.60
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k-384px_20221009-4317ce62.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
  - Name: deit3-large-p16_in21k-pre_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 61603111936
      Parameters: 304374760
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 86.97
        Top 5 Accuracy: 98.24
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k_20221009-d8d27084.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
  - Name: deit3-large-p16_in21k-pre_3rdparty_in1k-384px
    In Collection: DeiT3
    Metadata:
      FLOPs: 191210034176
      Parameters: 304763880
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 87.73
        Top 5 Accuracy: 98.51
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k-384px_20221009-75fea03f.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_21k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
  - Name: deit3-huge-p14_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 167400741120
      Parameters: 632126440
      Training Data:
        - ImageNet-1k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 85.21
        Top 5 Accuracy: 97.36
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_3rdparty_in1k_20221009-e107bcb7.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py
  - Name: deit3-huge-p14_in21k-pre_3rdparty_in1k
    In Collection: DeiT3
    Metadata:
      FLOPs: 167400741120
      Parameters: 632126440
      Training Data:
        - ImageNet-21k
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 87.19
        Top 5 Accuracy: 98.26
    Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_in21k-pre_3rdparty_in1k_20221009-19b8a535.pth
    Converted From:
      Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
      Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
    Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py