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  • NVIDIA Deep Learning Examples
    SE-ResNeXt101-32x4d pretrained weights (PyTorch, AMP, ImageNet)
    Model
    NVIDIA Deep Learning Examples
    SE-ResNeXt101-32x4d pretrained weights (PyTorch, AMP, ImageNet)

    SE-ResNeXt101-32x4d ImageNet pretrained weights

  • 1 Version
    20.06.0_ampSelected
    09/22/2022 5:26 PM UTC173.26 MBAccuracy: 0300 EpochsBatch Size: 128GPU: V100
  • architecture
    KeyValue
    typese-resnext101-32x4d
    performance
    KeyValue
    val_top180.95399998779297
    val_top595.26000002197266
    training
    KeyValue
    data_backendpytorch
    model_configfanin
    batch_size128
    data/data/imagenet
    num_classes1000
    lr1.024
    run_epochs-1
    optimizer_batch_size1024
    archse-resnext101-32x4d
    lr_schedulecosine
    workers8
    epochs300

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