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I like to use Tensorboard to log my runs and compare different hyperparameter configurations. Sorting by hp_metric help identifying good runs, but since the last hp_metric might not be the best of a given run I would like to only log it if the metric acutally improved.
I couldn't find out how to access past stored metrics using self.logger.experiment but this should be possible right?
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Hi 👋
I like to use Tensorboard to log my runs and compare different hyperparameter configurations. Sorting by hp_metric help identifying good runs, but since the last hp_metric might not be the best of a given run I would like to only log it if the metric acutally improved.
I couldn't find out how to access past stored metrics using
self.logger.experiment
but this should be possible right?Then I could do:
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