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Autoencoder on Autoencoder (Training Evaluation)

51.401Train CE LossShampoo(20)
50.2388858.0831965.927573.77181Nov 16, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Shampoo(20)Precision=bfloat16, Train time(s)=1245, Optimizer Category=Second Order Methods2023.1151.401
band-4-SONewPrecision=bfloat16, Train time(s)=230, Optimizer Category=Second Order Methods2023.1151.84
tridiag-SONewPrecision=bfloat16, Train time(s)=55, Optimizer Category=Second Order Methods2023.1151.937
diag-SONewPrecision=bfloat16, Train time(s)=44, Optimizer Category=First Order Methods2023.1153.29
RMSPropPrecision=bfloat16, Train time(s)=37, Optimizer Category=First Order Methods2023.1153.743
AdamPrecision=bfloat16, Train time(s)=38, Optimizer Category=First Order Methods2023.1154.328
rfdSON(4)Precision=bfloat16, Train time(s)=284, Optimizer Category=Second Order Methods2023.1155.53
rfdSON(1)Precision=bfloat16, Train time(s)=80, Optimizer Category=Second Order Methods2023.1157.42
AdagradPrecision=bfloat16, Train time(s)=37, Optimizer Category=First Order Methods2023.1168.854
MomentumPrecision=bfloat16, Train time(s)=36, Optimizer Category=First Order Methods2023.1170.053
NesterovPrecision=bfloat16, Train time(s)=43, Optimizer Category=First Order Methods2023.1172.975
SGDPrecision=bfloat16, Train time(s)=36, Optimizer Category=First Order Methods2023.1180.454