X_SSL_Net/tmp/VMamba-main/analyze/mmpretrain_configs/configs/simclr/metafile.yml

Collections:
  - Name: SimCLR
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - LARS
      Training Resources: 8x V100 GPUs (b256), 16x A100-80G GPUs (b4096)
      Architecture:
        - ResNet
        - SimCLR
    Paper:
      Title: A simple framework for contrastive learning of visual representations
      URL: https://arxiv.org/abs/2002.05709
    README: configs/simclr/README.md

Models:
  - Name: simclr_resnet50_16xb256-coslr-200e_in1k
    Metadata:
      Epochs: 200
      Batch Size: 4096
      FLOPs: 4109364224
      Parameters: 27968832
      Training Data: ImageNet-1k
    In Collection: SimCLR
    Results: null
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simclr/simclr_resnet50_16xb256-coslr-200e_in1k/simclr_resnet50_16xb256-coslr-200e_in1k_20220825-4d9cce50.pth
    Config: configs/simclr/simclr_resnet50_16xb256-coslr-200e_in1k.py
    Downstream:
      - resnet50_simclr-200e-pre_8xb512-linear-coslr-90e_in1k
  - Name: simclr_resnet50_16xb256-coslr-800e_in1k
    Metadata:
      Epochs: 200
      Batch Size: 4096
      FLOPs: 4109364224
      Parameters: 27968832
      Training Data: ImageNet-1k
    In Collection: SimCLR
    Results: null
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simclr/simclr_resnet50_16xb256-coslr-800e_in1k/simclr_resnet50_16xb256-coslr-800e_in1k_20220825-85fcc4de.pth
    Config: configs/simclr/simclr_resnet50_16xb256-coslr-800e_in1k.py
    Downstream:
      - resnet50_simclr-800e-pre_8xb512-linear-coslr-90e_in1k
  - Name: resnet50_simclr-200e-pre_8xb512-linear-coslr-90e_in1k
    Metadata:
      Epochs: 90
      Batch Size: 4096
      FLOPs: 4109464576
      Parameters: 25557032
      Training Data: ImageNet-1k
    In Collection: SimCLR
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 66.9
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simclr/simclr_resnet50_16xb256-coslr-200e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-f12c0457.pth
    Config: configs/simclr/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py
  - Name: resnet50_simclr-800e-pre_8xb512-linear-coslr-90e_in1k
    Metadata:
      Epochs: 90
      Batch Size: 4096
      FLOPs: 4109464576
      Parameters: 25557032
      Training Data: ImageNet-1k
    In Collection: SimCLR
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 69.2
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simclr/simclr_resnet50_16xb256-coslr-800e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-b80ae1e5.pth
    Config: configs/simclr/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py