SimpleTranformers to train and evaluate a model.
Since the dataset I am using is severely imbalanced, it is recommended that I assign weights to each label. An example of assigning weights for
SimpleTranformers is given here.
My question, however, is: How exactly do I choose what's the appropriate weight for each class? Is there a specific methodology, e.g., a formula that uses the ratio of the labels?
Follow-up question: Are the weights used for the same dataset "universal"? I.e., if I use a totally different model, can I use the same weights or should I assign different weights depending on the model.
p.s.1. If it makes any difference, I'm using
p.s.2. There is a similar question here, however, I believe that my question is not a duplicate because a) the attached question is about Keras where my question is about Transformers, and b) I'm also asking about general recommendations of how weight values are decided where the attached question is not.