Great job well done to you all on this interesting challenge. If you wouldn't mind, i will like to know your best "Val_loss" from any individual who took part in this awesome challenge.
Nice. Amazing!!! But are you sure this is your Valid_loss or error_rate? Seems to me this is your "error_rate" not Valid_loss. And if that be the case, what's your final Log_Loss of this (Valid_loss=0.08) on Public LB?
This is indeed the loss value, validation error_rate was around 0.02-0.03.
On public LB it got 0.17 and 0.14 with TTA.
I believe that the difference between val_loss\Public LB is due to some wrong images in the testset (which do not contain any of the classes). I cleared the training dataset from any of these wrong examples, so there loss was lower.
Mine was around 0.08 with 80/20 train/val
Nice. Amazing!!! But are you sure this is your Valid_loss or error_rate? Seems to me this is your "error_rate" not Valid_loss. And if that be the case, what's your final Log_Loss of this (Valid_loss=0.08) on Public LB?
Thank you.
This is indeed the loss value, validation error_rate was around 0.02-0.03.
On public LB it got 0.17 and 0.14 with TTA.
I believe that the difference between val_loss\Public LB is due to some wrong images in the testset (which do not contain any of the classes). I cleared the training dataset from any of these wrong examples, so there loss was lower.