Interpreting output of training about ctlearn HOT 1 CLOSED

I would have assumed that the Total number of examples was the summation of training and validation events, but it is not. What does it represent then? In single telescope runs it coincides with the summation of traMinor suggestion: Number of training steps per validation should be changed to Number of training steps between validations. I got very confused trying to understand what it meant.
ining and validation events.

This is a bug, the logger output for array-level models is incorrect. See #48.

Minor suggestion: Number of training steps per validation should be changed to Number of training steps between validations. I got very confused trying to understand what it meant.

Duly noted.

How could I produce something similar to the plots in config/v_0_2_0_benchmark/readme.md?

You can view all of the metrics and plots, and the training time, using Tensorboard, which reads from the saved output files. You can view the progress in real time or after the run is finished. See here for instructions.

One more question: since the number of training steps per epoch is different but the number of epochs is the same in each config.yml, how come that the last checkpoint is always in step 37500?

The word "epochs" is being used in two different senses; this should be changed. In the logging output, an epoch means the number of batches/steps in the training set, while in the config file it means the number of batches/steps between validations.

from ctlearn.