I'm trying to run a version with the "Alternative Padding Strategy" suggested in 18.1. Everything has worked well until Model 6 NBEATS ensemble. I've tried adjusting the nbeats() arguments, but the workflow still crashes. Have you seen the error below before? I found a similar warning online for MQCNNEstimator, not for NBEATSEstimator or NBEATSEnsembleEstimator.
> wflw_fit_nbeats_6_2 %
+ add_model(model_spec_6_nbeats) %>%
+ add_recipe(recipe_spec_gluon_2) %>%
+ fit(training(splits_2))
0%| | 0/35 [00:00, ?it/s]WARNING:gluonts.trainer:Batch [2] of Epoch[0] gave NaN loss and it will be ignored
I've had this issue with DeepAR and then it was due to exploding gradients and I had to adjust the clip_gradient. I don't know the exact architecture of N-BEATS, but could this also be the case here?
I'm trying to run a version with the "Alternative Padding Strategy" suggested in 18.1. Everything has worked well until Model 6 NBEATS ensemble. I've tried adjusting the nbeats() arguments, but the workflow still crashes. Have you seen the error below before? I found a similar warning online for MQCNNEstimator, not for NBEATSEstimator or NBEATSEnsembleEstimator.