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When We Train The Models, We Often Choose Checkpoint Based On The Validation Accuracy, But Test Set Accuracy (Or Specific Class Validation Accuracy) Is Not Necessarily The Best For This Checkpoint. Right Now There Are Options To Add Columns With Max And L

when we train the models, we often choose checkpoint based on the validation accuracy, but test set accuracy (or specific class validation accuracy) is not necessarily the best for this checkpoint. right now there are options to add columns with max and last values of the metrics. could you consider adding an option to add dependent values of metrics? eg, we want max validation accuracy and all other metric values for the corresponding epoch

  
  
Posted 3 years ago
Votes Newest

Answers 7


DilapidatedDucks58 I see ...
This might be more complicated that one would imagine, a simple solution might be to store a snapshot of the values every-time we reach a new maximum, a quick hack might be to add it as text on one of the task's parameters or properties (that we can later add to the table as custom column).
wdyt?

  
  
Posted 3 years ago

Hi DilapidatedDucks58

eg, we want max validation accuracy and all other metric values for the corresponding epoch

Is this the equivalent of nested sort ?
Wouldn't you get the requested behavior if you add all metric columns but sort based on the "accuracy" column ?

  
  
Posted 3 years ago

so max values that I get can be reached at the different epochs

  
  
Posted 3 years ago

I don't think so because max value of each metric is calculated independently of other metrics

  
  
Posted 3 years ago

Okay, I think I lost you...
DilapidatedDucks58 you mean detect at which "iteration" the max value was reported, and then extract all the other metrics for that iteration ?

  
  
Posted 3 years ago

exactly

  
  
Posted 3 years ago

I guess, this could overcomplicate ui, I don't see a good solution yet.

as a quick hack, we can just use separate name (eg "best_val_roc_auc") for all metric values for the current best checkpoint. then we can just add columns with the last value of this metric

  
  
Posted 3 years ago