Juhyeong Kim

 It looks like that the predictions are gathered around 0

I applied DEISMultistepScheduler following the #145, However, valid loss does no go down under 0.3. @ProRedCat Can you share the details of your setting? Below is my code: ``` estimator...

Your result looks completely fine. Thank you for sharing. I will try to reproduce it.

@ProRedCat If we use DEISMultistepScheduler, does it mean that we are using a little bit advanced version of [ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models](https://arxiv.org/abs/2106.10121)?

@ProRedCat I get bad performance at version-0.7.0. Can you reproduce the similar performance recorded at timegrad-electricity notebook file?

@ProRedCat I used the DDPMScheduler but I ran only 20 epochs. That might be the reason. I will try with DEISMultistepSchedular and large epochs. Thanks.

Did you used `ver-0.7.0` which utilize diffusers library? I am having troubles to make similar performance in timegrad at electricity dataset.