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transformer's Introduction

Transformer

学习Transformer相关知识时练手用的代码。

蒸馏学习

miniimagenet验证集精度:

model Parameters(M) Accuracy epoch optimizer alpha
resnet18 11.2 57% 60 SGD /
studentnet(无蒸馏) 0.4 24% 60 SGD /
studentnet(hard蒸馏) 0.4 24.7% 60 SGD 0.5
studentnet(soft蒸馏) 0.4 / 60 SGD 0.5
studentnet(soft蒸馏) 0.4 24.1% 60 SGD 1.0
studentnet(soft蒸馏) 0.4 25.0% 100 SGD 1.0

结论

  • 如果teacher模型的精度很低,则没有什么作用,会导致学生模型效果很差。
  • 使用蒸馏学习的话,需要的训练epoch更多。

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