Closed MihaiDogariu closed 5 years ago
Essentially, we divide our training into 3 stages as written here: https://github.com/DrSleep/light-weight-refinenet#training-scripts
The idea is to reduce the learning rate at the end of each stage; optionally, you can choose not only the learning rate but also other variables for each stage, hence why almost all parameters are of length 3
Hi! Great work with this repo!
I have a question regarding how you structured the training process. Why do you have 3-dimensional values in the config file?
I've seen that the
task_idx
value will iterate until it reaches the value ofnum_stages
(which is assigned the depth of thenum_classes
variable, i.e. 3) and I am not sure of what it means or why it is used.Thanks!