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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 2 years 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 2 years 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 2 years ago

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

  
  
Posted 2 years ago

Awesome AgitatedDove14 Thanks a lot 🙌

  
  
Posted 2 years ago