Hi, I had trained alexnet_XNOR by myself.
(I have a smaller GPU, so the flag which i use "-nGPU 1 -batchSize 400"
It seems converged and every thing is fine. (42.1% Top-1 accuracy on validation dataset
But the question is that the saved model occupy so many disks space ..
the model_epoch.t7 need 4.8 GB
the optimState_epoch.t7 need 0.75 GB
and we need 55 epochs !!
I don't know why your download pre-train model need only 0.5 GB
Could you help me to save my disk space ?
Hi, I had trained alexnet_XNOR by myself. (I have a smaller GPU, so the flag which i use "-nGPU 1 -batchSize 400" It seems converged and every thing is fine. (42.1% Top-1 accuracy on validation dataset But the question is that the saved model occupy so many disks space .. the model_epoch.t7 need 4.8 GB the optimState_epoch.t7 need 0.75 GB and we need 55 epochs !!
I don't know why your download pre-train model need only 0.5 GB Could you help me to save my disk space ?