[Simple question] Any available logger for test or validation steps? @Logger availability #10862
Unanswered
Hikaru-13915
asked this question in
code help: CV
Replies: 1 comment
-
I think I can reproduce it in Kaggle notebook with |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
As all of you knows, we can use Loggers by setting like
from pytorch_lightning.loggers import 'YOURLOGGER'
trainer = model.Trainer(logger=YOURLOGGER(save_dir="logs/", name="your_train"))
Now I'm trying to use logger, CSVLogger, but it only tells me the information as to the training steps like bellow.
train_loss train_acc epoch step valid_loss valid_acc test_loss test_acc
0 0.626578 0.875000 0 49 NaN NaN NaN NaN
1 0.514625 0.875000 0 99 NaN NaN NaN NaN
2 0.334852 0.906250 0 149 NaN NaN NaN NaN
3 0.121677 0.953125 0 199 NaN NaN NaN NaN
4 0.135196 0.968750 0 249 NaN NaN NaN NaN
The example above doesn't reveal "valid_loss" and "valid_acc", "test_loss", "test_acc", though I defined these values at their own steps in the model.
Is there any possible way to log a test or validation steps??
Please teach me any available Loggers for test steps and how to implement that
Beta Was this translation helpful? Give feedback.
All reactions