Training a model in Re:infer can be broken down into a three stage process:


* Times are a rough estimate - time spent training depends largely on the data and the objective of the dataset.

 

 

In the first instance, it’s good practice to go through these steps in order, but this can be an iterative process. You may find in time that for different labels, you may chop and change the different steps as you become more familiar with the platform.



Whilst going through the training process and labelling verbatims, these are the three most important things to remember:





Previous: Objectives & building a Taxonomy     |    Next: Training support & resources