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Hi <@U04U0CL7D3M>! I will take a look, we have not encountered this issue before. I strongly suggest to not train the model with the MAPE loss, because it is often very unstable, specially when `y` is close to zero or you are normalizing the data. Can you try with other losses? Like `MAE`, `MSE`, or `HuberLoss`?

yes, there was an issue in particular with the `MAPE` loss. I just fixed it and will be merged to main and released soon

Even with this fix, I suggest using more stable losses such as `MAE`, `RMSE`, and `HuberLoss`

Got it, thankyou Cristian for helping with this issue.