Hi All,
I am using FastAI v2 to train a model with WandCallback. I want to run an experimentation to assess which loss function combination would yield the best model? So, I have losses like:
losses = [‘Dice’, ‘Focal’, ‘Tversky’, ‘BCE’]
alphas = [.1,.2,.3,.4,.5,.6,.7,.8,.9]
And I have a combo loss CustomComboLoss class which accepts L1 and L2 along with alpha as arguments to generate a loss function for a run.
I don’t want to run it manually. Can this be performed using WandCallback and sweep?
Any suggestions or links to useful resources will be very much appreciated.
Many Thanks and
Best Regards,
Bilal