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EfficientNet-B4 QAT checkpoint (PyTorch FP32)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
EfficientNet-B4 QAT checkpoint (PyTorch FP32)

EfficientNet-B4 QAT checkpoint based on best FP32 checkpoint

1 Version
21.03.0_fp32Selected
09/22/2022 6:02 PM UTC74.97 MBAccuracy: 0.82542 EpochsBatch Size: 32GPU: V100
architecture
KeyValue
taskpretraining
typebase
performance
KeyValue
accuracy0.8254
training_loss0.69253
training
KeyValue
batch_size32
lr-schedulelinear
optimizerrmsprop
LR4.09e-06
training_precisionFP32
datasetImageNet
epochs2
weight decay4.5e-05
rmsprop alpha0.853
rmsprop epsilon0.00422
momentum0.9

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