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Why accuracy is remaining 0?

See original GitHub issue

Hi, I follow your README to run the code, but the classification accuracy is remaining 0 after several epoch. Is there something important I neglected? Thank you very much!

[epoch   4: 160/307] 	 train loss: 0.928064 	 lr: 0.00100
[epoch   4: 180/307] 	 train loss: 0.486494 	 lr: 0.00100
[epoch   4: 200/307] 	 train loss: 0.455191 	 lr: 0.00100
[epoch   4: 220/307] 	 train loss: 0.509143 	 lr: 0.00100
[epoch   4: 240/307] 	 train loss: 0.903722 	 lr: 0.00100
[epoch   4: 260/307] 	 train loss: 0.333634 	 lr: 0.00100
[epoch   4: 280/307] 	 train loss: 0.712478 	 lr: 0.00100

val loss: 0.488999 	 acc: 0.000000

[epoch   4: 300/307] 	 train loss: 0.461941 	 lr: 0.00100
[epoch   5:   0/307] 	 train loss: 0.480295 	 lr: 0.00100
[epoch   5:  20/307] 	 train loss: 0.308337 	 lr: 0.00100
[epoch   5:  40/307] 	 train loss: 0.756740 	 lr: 0.00100
[epoch   5:  60/307] 	 train loss: 0.552190 	 lr: 0.00100
[epoch   5:  80/307] 	 train loss: 0.518123 	 lr: 0.00100
[epoch   5: 100/307] 	 train loss: 0.719212 	 lr: 0.00100
[epoch   5: 120/307] 	 train loss: 0.408349 	 lr: 0.00100
[epoch   5: 140/307] 	 train loss: 0.633257 	 lr: 0.00100

val loss: 0.446945 	 acc: 0.000000

[epoch   5: 160/307] 	 train loss: 0.779942 	 lr: 0.00100
[epoch   5: 180/307] 	 train loss: 0.585827 	 lr: 0.00100
[epoch   5: 200/307] 	 train loss: 0.550597 	 lr: 0.00100
[epoch   5: 220/307] 	 train loss: 0.406125 	 lr: 0.00100
[epoch   5: 240/307] 	 train loss: 0.290858 	 lr: 0.00100
[epoch   5: 260/307] 	 train loss: 0.365490 	 lr: 0.00100
[epoch   5: 280/307] 	 train loss: 0.821365 	 lr: 0.00100

val loss: 0.458882 	 acc: 0.000000

Issue Analytics

State:
Created 4 years ago
Comments:9 (2 by maintainers)

Top GitHub Comments

2reactions

jofurycommented, Oct 21, 2019

@RandyCHz What version of PyTorch do you use? The val loss looks like all rihgt, you may need to check line 154-159 in train_cls.py, just print them to see what wrong is.

It seems to be a datatype question, I change it to float and it works. Thanks!

Hi, I got the same problem when I ran the code.Where can I change the data type? How did you solve it?

At line 159 in train_cls.py, change (preds ==labels).sum() to (preds ==labels).sum().item() as suggested by @ANGELALIGN-BOWEN

0reactions

LX-meteorcommented, Oct 22, 2019

@jofury It works ! Thank you !