seems the loss of both generator and discriminator would collapse?

[sszzsupersupersupersuper]

Hello, I am running your code with SWDA dataset but the loss going like this:

train_loss_AE:2.7721 train_loss_G:298.7391 train_loss_D:-300.4698
DialogWAE_GMP-basic|SWDA@gpu0 epo:[84/100] iter:[1200/1279] step_time:56s elapsed:0:11:33<0:0:46

train_loss_AE:3.0337 train_loss_G:203.4530 train_loss_D:-84.7853

Valid begins with 41 batches with 28 left over samples
Validation valid_loss_AE:3.0522 valid_loss_G:353.3996 valid_loss_D:-353.3996
Valid begins with 5165 batches with 0 left over samples

I did not change any configuration, but I haven't checked the generated data yet. The loss
is just supposed to be like this? or it has already collapsed?

Thank you for the help!

[guxd]

The loss should be normal since it could contain negative values