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Hi! I Am Having Some Problems With A Loss After A Good Amount Of Training, What Would Be The Best Way To Log A Value To Have A Better Idea Of What Is Happening?

Hi! I am having some problems with a loss after a good amount of training, what would be the best way to log a value to have a better idea of what is happening?

Posted one year ago
Votes Newest

Answers 4

I would do something like:

` from clearml import Logger

def forward(...):
    self.iteration += 1 
    weights = self.compute_weights(...)
    m = (weights * (target-preds)).mean()
    Logger.current_logger().report_scalar(title="debug", series="mean_weight", value=m, iteration=self.iteration)
    return m `
Posted one year ago

GrievingTurkey78 I'm not sure I follow, are you asking how to add additional scalars ?

Posted one year ago

Awesome AgitatedDove14 Thanks a lot 🙌

Posted one year ago

AgitatedDove14 Well I have a loss function which is something like:
class MyLoss(...): def forward(...): weights = self.compute_weights(...) return (weights * (target-preds)).mean()There seems to be a problem on certain batch when computing the weights. What would be the best way to log the batch that causes the problem, along with the weights being computed.

Posted one year ago