LeiyuanMa

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I tried change the learning rate to 0.01,and the batchsize 4,the loss is decreased to 0.0403,only within one epoch(Iter:37000/39675,a epoch almost finised but failed),but the program often cause a error...

I tried change the learing rate to 0.01,and batchsize=4,and due to the limit of GPU resource,I set model = torch.nn.DataParallel(model,device_ids=[0]),but after there is alwayes a error like this: Iter:36900/39675 Loss:0.0413...

thanks,so is the loss=0.0403 acceptable?

Maybe you should use the absolute path to avoid such problem

I came into the same question as you,then I find out that I should use the ResNet_DUC_HDC_CityScapes-0020.params as the pretrained model,and set the begin epoch to 20, rather than the...