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

Collections:
  - Name: SimSiam
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNet
    Paper:
      Title: Exploring simple siamese representation learning
      URL: https://arxiv.org/abs/2011.10566
    README: configs/simsiam/README.md

Models:
  - Name: simsiam_resnet50_8xb32-coslr-100e_in1k
    Metadata:
      Epochs: 100
      Batch Size: 256
      FLOPs: 4109364224
      Parameters: 38199360
      Training Data: ImageNet-1k
    In Collection: SimSiam
    Results: null
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k/simsiam_resnet50_8xb32-coslr-100e_in1k_20220825-d07cb2e6.pth
    Config: configs/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py
    Downstream:
      - resnet50_simsiam-100e-pre_8xb512-linear-coslr-90e_in1k
  - Name: simsiam_resnet50_8xb32-coslr-200e_in1k
    Metadata:
      Epochs: 200
      Batch Size: 256
      FLOPs: 4109364224
      Parameters: 38199360
      Training Data: ImageNet-1k
    In Collection: SimSiam
    Results: null
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k/simsiam_resnet50_8xb32-coslr-200e_in1k_20220825-efe91299.pth
    Config: configs/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py
    Downstream:
      - resnet50_simsiam-200e-pre_8xb512-linear-coslr-90e_in1k
  - Name: resnet50_simsiam-100e-pre_8xb512-linear-coslr-90e_in1k
    Metadata:
      Epochs: 90
      Batch Size: 4096
      FLOPs: 4109464576
      Parameters: 25557032
      Training Data: ImageNet-1k
    In Collection: SimSiam
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 68.3
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-f53ba400.pth
    Config: configs/simsiam/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py
  - Name: resnet50_simsiam-200e-pre_8xb512-linear-coslr-90e_in1k
    Metadata:
      Epochs: 90
      Batch Size: 4096
      FLOPs: 4109464576
      Parameters: 25557032
      Training Data: ImageNet-1k
    In Collection: SimSiam
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 69.8
    Weights: https://download.openmmlab.com/mmselfsup/1.x/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k/resnet50_linear-8xb512-coslr-90e_in1k/resnet50_linear-8xb512-coslr-90e_in1k_20220825-519b5135.pth
    Config: configs/simsiam/benchmarks/resnet50_8xb512-linear-coslr-90e_in1k.py