[Simple question] Any available logger for test or validation steps? ＠Logger availability

[Hikaru-13915]

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

[Borda]

I think I can reproduce it in Kaggle notebook with train_loss so I see some number in progress bar but NaN in logger file - https://www.kaggle.com/code/jirkaborovec/cancer-subtype-baseline-with-lightning-torch