metafile.yml

Collections:
  - Name: ChineseCLIP
    Metadata:
      Training Data:
        - LAION-5B
        - WuKong
        - VisualGenome
        - MSCOCO
      Architecture:
        - Transformer
    Paper:
      Title: 'Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese'
      URL: https://arxiv.org/abs/2211.01335
    README: configs/chinese_clip/README.md

Models:
  - Name: cn-clip_resnet50_zeroshot-cls_cifar100
    Metadata:
      FLOPs: null
      Parameters: 77000000
    In Collection: ChineseCLIP
    Results:
      - Task: Image Classification
        Dataset: CIFAR100
        Metrics:
          Top 1 Accuracy: 40.7
    Weights: https://download.openmmlab.com/mmpretrain/v1.0/chinese_clip/cn-clip_resnet50_3rdparty_20230519-6a2b3eb2.pth
    Config: configs/chinese_clip/cn-clip_resnet50_zeroshot-cls_cifar100.py
    Converted From:
      Weights: https://clip-cn-beijing.oss-cn-beijing.aliyuncs.com/checkpoints/clip_cn_rn50.pt
      Code: https://github.com/OFA-Sys/Chinese-CLIP

  - Name: cn-clip_vit-base-p16_zeroshot-cls_cifar100
    Metadata:
      FLOPs: null
      Parameters: 188000000
    In Collection: ChineseCLIP
    Results:
      - Task: Image Classification
        Dataset: CIFAR100
        Metrics:
          Top 1 Accuracy: 64.5
    Weights: https://download.openmmlab.com/mmpretrain/v1.0/chinese_clip/cn-clip_vit-base-p16_3rdparty_20230519-37fbc59e.pth
    Config: configs/chinese_clip/cn-clip_vit-base-p16_zeroshot-cls_cifar100.py
    Converted From:
      Weights: https://clip-cn-beijing.oss-cn-beijing.aliyuncs.com/checkpoints/clip_cn_vit-b-16.pt
      Code: https://github.com/OFA-Sys/Chinese-CLIP

  - Name: cn-clip_vit-large-p14_zeroshot-cls_cifar100
    Metadata:
      FLOPs: null
      Parameters: 406000000
    In Collection: ChineseCLIP
    Results:
      - Task: Image Classification
        Dataset: CIFAR100
        Metrics:
          Top 1 Accuracy: 74.8
    Weights: https://download.openmmlab.com/mmpretrain/v1.0/chinese_clip/cn-clip_vit-large-p14_3rdparty_20230519-3f844503.pth
    Config: configs/chinese_clip/cn-clip_vit-large-p14_zeroshot-cls_cifar100.py
    Converted From:
      Weights: https://clip-cn-beijing.oss-cn-beijing.aliyuncs.com/checkpoints/clip_cn_vit-l-14.pt
      Code: https://github.com/OFA-Sys/Chinese-CLIP

  - Name: cn-clip_vit-huge-p14_zeroshot-cls_cifar100
    Metadata:
      FLOPs: null
      Parameters: 958000000
    In Collection: ChineseCLIP
    Results:
      - Task: Image Classification
        Dataset: CIFAR100
        Metrics:
          Top 1 Accuracy: 79.1
    Weights: https://download.openmmlab.com/mmpretrain/v1.0/chinese_clip/cn-clip_vit-huge-p14_3rdparty_20230519-e4f49b00.pth
    Config: configs/chinese_clip/cn-clip_vit-huge-p14_zeroshot-cls_cifar100.py
    Converted From:
      Weights: https://clip-cn-beijing.oss-cn-beijing.aliyuncs.com/checkpoints/clip_cn_vit-h-14.pt
      Code: https://github.com/OFA-Sys/Chinese-CLIP