I would like to better understand how to apply the Crayon-Tensorboard function, but can’t seem to incorporate it successfully.
I have managed to install Crayon successfully following the instruction provided in their GitHub page (https://github.com/torrvision/crayon). By inputting the following command in my terminal, Tensorboard is receiving information which it can visualize from my training session:
$ th train.lua -save_config training_configs -data wmt15-all-de-en-train.t7 -report_every 50 -save_model wmt15-de-en -exp wmt15_de_en -gpuid 1 -log_file training_log
However, I can only see the learning rate, perplexity, and tokens per sec. How can see other metrics such as accuracy, blue, loss, etc? From reading the Crayon GitHub page, I get the impression that I have to create a .lua file specifying what I want to extract for visualization. If so, where should that file be saved so that when executing the training command it gets read?
As a follow up, what if, in the one hand, I want to run other experiments with the same options as a previous run and on the other hand experiments with less options? Am I then creating multiple .lua files? How would I indicate that I want configurations from experiment A vs those from B when executing train.lua?
I thank you in advance for any help to get me out of the woods.