I am using caffe to train a deep network, and have set the display at 200 iterations in my solver prototext file. However, instead of getting the loss and accuracy, I am getting a large number of lines of the form
solver.cpp:245] Train net output #{no.}: prob = {no.}.
The prob values are the probabilities of output of softmax layer(the last layer in my network). This display is of no real use to me. I am interested in seeing only the rate at which the accuracy is evolving with the number of iterations. Can someone suggest a way in which I may print only the relevant parameters to stdout? Is there a way to control in general what is printed by caffe to stdout?
Thanks.
(Note: I am using caffe executable for training on ubuntu)