EcstaticBaldeagle77 , Can you share an example of:
self.log("key_name", value) that you save? (not 100% sure what self is 🙂 )

What the automagic integration provide is that you have all the parameters of your pl trainer automatically fetched and populated, as well as when you call this function:
def validation_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = F.cross_entropy(y_hat, y) self.log('valid_loss', loss)The call to "self.log()" is fetched and reported as a metric (with the name "valid_loss")