Playing with the Birds dataset from Caltech. It seems going to be challenging, there is 200 bird classes each a dozen pictures. With the simple 4 cycles training of ResNet-34, I got very bad results:
Total time: 12:08
epoch train_loss valid_loss error_rate
1 3.650673 2.174252 0.521866 (03:07)
2 1.836933 1.261172 0.349438 (03:08)
3 1.250030 1.025832 0.284881 (02:55)
4 0.989510 0.987043 0.269888 (02:57)
Here is the top losses:
The confusion matrix is not even readable with all the 200 categories:
This is going to be challenging but love it, thanks so much @jeremy for this wonderful journey!

