I'm trying to reproduce the results for ResNet-110 on CIFAR 10.
I changed the lr schedule to the following to mimick the warm-up epoch:
if epoch == 1 then decay = 1 else decay = epoch >= 122 and 2 or epoch >= 81 and 1 or 0 end
However, now my scores are too low...
I used the following command:
CUDA_VISIBLE_DEVICES=0,1 th main.lua -dataset cifar10 -nGPU 2 -batchSize 128 -depth 110 -netType resnet
I did 2 runs:
run 1: best top1=6.04, final top1=6.04
run 2: best top1=5.77, final top1=5.89
I'm trying to reproduce the results for ResNet-110 on CIFAR 10.
I changed the lr schedule to the following to mimick the warm-up epoch:
if epoch == 1 then decay = 1 else decay = epoch >= 122 and 2 or epoch >= 81 and 1 or 0 end
However, now my scores are too low... I used the following command:
CUDA_VISIBLE_DEVICES=0,1 th main.lua -dataset cifar10 -nGPU 2 -batchSize 128 -depth 110 -netType resnet
I did 2 runs: run 1: best top1=6.04, final top1=6.04 run 2: best top1=5.77, final top1=5.89
The blog post reports top1 scores of ~6.7%
Any ideas?