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