mmpretrain/configs/clip/metafile.yml

Collections:
  - Name: CLIP
    Metadata:
      Architecture:
        - Attention Dropout
        - Convolution
        - Dense Connections
        - Dropout
        - GELU
        - Layer Normalization
        - Multi-Head Attention
        - Scaled Dot-Product Attention
        - Tanh Activation
    Paper:
      Title: Learning Transferable Visual Models From Natural Language Supervision
      URL: https://arxiv.org/abs/2103.00020
    README: configs/clip/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/main/mmpretrain/models/backbones/vision_transformer.py
      Version: v1.0.0

Models:
  - Name: vit-base-p32_clip-openai-pre_3rdparty_in1k
    Metadata:
      FLOPs: 4364335104
      Parameters: 88225000
      Training Data:
        - OpenAI
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.77
          Top 5 Accuracy: 95.89
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_openai-pre_3rdparty_in1k_20221220-a0182ba9.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_224.openai_ft_in1k
  - Name: vit-base-p32_clip-laion2b-pre_3rdparty_in1k
    Metadata:
      FLOPs: 4364335104
      Parameters: 88225000
      Training Data:
        - LAION-2B
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.46
          Top 5 Accuracy: 96.12
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_laion2b-pre_3rdparty_in1k_20221220-194df57f.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_224.laion2b_ft_in1k
  - Name: vit-base-p32_clip-laion2b-in12k-pre_3rdparty_in1k
    Metadata:
      FLOPs: 4364335104
      Parameters: 88225000
      Training Data:
        - LAION-2B
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.06
          Top 5 Accuracy: 96.49
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_laion2b-in12k-pre_3rdparty_in1k_20221220-b384e830.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_224.laion2b_ft_in12k_in1k
  - Name: vit-base-p32_clip-openai-in12k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 12661054464
      Parameters: 88225000
      Training Data:
        - OpenAI
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.13
          Top 5 Accuracy: 97.42
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_openai-in12k-pre_3rdparty_in1k-384px_20221220-dc2e49ea.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_384.openai_ft_in12k_in1k
  - Name: vit-base-p32_clip-laion2b-in12k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 12661054464
      Parameters: 88225000
      Training Data:
        - LAION-2B
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.39
          Top 5 Accuracy: 97.67
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_laion2b-in12k-pre_3rdparty_in1k-384px_20221220-c7757552.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_384.laion2b_ft_in12k_in1k
  - Name: vit-base-p16_clip-openai-pre_3rdparty_in1k
    Metadata:
      FLOPs: 16855600128
      Parameters: 86568424
      Training Data:
        - OpenAI
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.3
          Top 5 Accuracy: 97.5
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_openai-pre_3rdparty_in1k_20221220-c7d9c899.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_224.openai_ft_in1k
  - Name: vit-base-p16_clip-laion2b-pre_3rdparty_in1k
    Metadata:
      FLOPs: 16855600128
      Parameters: 86568424
      Training Data:
        - LAION-2B
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.49
          Top 5 Accuracy: 97.59
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_laion2b-pre_3rdparty_in1k_20221220-5e24ff58.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_224.laion2b_ft_in1k
  - Name: vit-base-p16_clip-openai-in12k-pre_3rdparty_in1k
    Metadata:
      FLOPs: 16855600128
      Parameters: 86568424
      Training Data:
        - OpenAI
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.99
          Top 5 Accuracy: 97.72
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_openai-in12k-pre_3rdparty_in1k_20221220-90d930a8.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_224.openai_ft_in12k_in1k
  - Name: vit-base-p16_clip-laion2b-in12k-pre_3rdparty_in1k
    Metadata:
      FLOPs: 16855600128
      Parameters: 86568424
      Training Data:
        - LAION-2B
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.02
          Top 5 Accuracy: 97.76
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_laion2b-in12k-pre_3rdparty_in1k_20221220-a5e31f8c.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_224.laion2b_ft_in12k_in1k
  - Name: vit-base-p32_clip-laion2b-in12k-pre_3rdparty_in1k-448px
    Metadata:
      FLOPs: 17202416640
      Parameters: 88225000
      Training Data:
        - LAION-2B
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 85.76
          Top 5 Accuracy: 97.63
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p32_laion2b-in12k-pre_3rdparty_in1k-448px_20221220-ca404a7d.pth
    Config: configs/clip/vit-base-p32_pt-64xb64_in1k-448px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch32_clip_448.laion2b_ft_in12k_in1k
  - Name: vit-base-p16_clip-openai-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 49370078208
      Parameters: 86568424
      Training Data:
        - OpenAI
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.25
          Top 5 Accuracy: 97.9
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_openai-pre_3rdparty_in1k-384px_20221220-eb012e87.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_384.openai_ft_in1k
  - Name: vit-base-p16_clip-laion2b-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 49370078208
      Parameters: 86568424
      Training Data:
        - LAION-2B
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.52
          Top 5 Accuracy: 97.97
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_laion2b-pre_3rdparty_in1k-384px_20221220-558ed826.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_384.laion2b_ft_in1k
  - Name: vit-base-p16_clip-openai-in12k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 49370078208
      Parameters: 86568424
      Training Data:
        - OpenAI
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 86.87
          Top 5 Accuracy: 98.05
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_openai-in12k-pre_3rdparty_in1k-384px_20221220-8df86b74.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_384.openai_ft_in12k_in1k
  - Name: vit-base-p16_clip-laion2b-in12k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 49370078208
      Parameters: 86568424
      Training Data:
        - LAION-2B
        - ImageNet-12k
        - ImageNet-1k
    In Collection: CLIP
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 87.17
          Top 5 Accuracy: 98.02
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/clip/clip-vit-base-p16_laion2b-in12k-pre_3rdparty_in1k-384px_20221220-84ed0cc0.pth
    Config: configs/clip/vit-base-p16_pt-64xb64_in1k-384px.py
    Converted From:
      Code: https://github.com/rwightman/pytorch-image-models
      Weights: https://huggingface.co/timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k