how to measure the result good or not?

[hflyzju]

Epoch 130 (lr 0.00010) Train: tpr 0.00, tnr 100.00, total pos 1317, total neg 3762, time 715.10 loss 0.7080, classify loss 0.6632, regress loss 0.0048, 0.0045, 0.0050, 0.0305

Validation: tpr 0.00, tnr 100.00000000, total pos 216, total neg 19458320, time 18.70 loss 0.7367, classify loss 0.6942, regress loss 0.0033, 0.0035, 0.0031, 0.0327

Train, epoch 130, loss2 20.3725, miss loss 0.5777, acc 0.2627, tpn 419, fpn 1176, fnn 0, time 1497.73, lr 0.00010 Valid, epoch 130, loss2 20.4470, miss loss 0.6395, acc 0.2600, tpn 91, fpn 259, fnn 0, time 95.32 Valid, epoch 130, loss2 20.3725, miss loss 0.5829, acc 0.2627, tpn 419, fpn 1176, fnn 0, time 423.61

is this training result normal?

[m-wei]

I am the same as you! Do you test the model that the author give? what about the result??

[hflyzju]

why the acc 0.2627 is so low?@lfz

[lfz]

I don't think it's normal, what is your batch size?

[bcyin]

Hey, have you solved this problem? I got the same problem.

[lmz123321]

@hflyzju I encounted the same problem as yours. I changed b2 from 12 to 16(2*N), then got a stage-2 AUC=0.82