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I tried to search reduce imagenet policy by origin imagenet search script, but found the epoch is only 20.
it seems that in only 20 epoch, training loss is not converging?
If traing loss is not converging , how to validate the performace of data augment policy?
By the way, could you share the train loss, val acc, train acc of search phase in the end?
The text was updated successfully, but these errors were encountered:
I tried to search reduce imagenet policy by origin imagenet search script, but found the epoch is only 20.
it seems that in only 20 epoch, training loss is not converging?
If traing loss is not converging , how to validate the performace of data augment policy?
By the way, could you share the train loss, val acc, train acc of search phase in the end?
Since we are still in preparing the presentation material of our work recently, we will consider to share those logs but several days later.
I tried to search reduce imagenet policy by origin imagenet search script, but found the epoch is only 20.
it seems that in only 20 epoch, training loss is not converging?
If traing loss is not converging , how to validate the performace of data augment policy?
By the way, could you share the train loss, val acc, train acc of search phase in the end?
The text was updated successfully, but these errors were encountered: