Predictions near mean value

[ghost]

I am using a similar model to your one with attention for both spatial and temporal and the dataset is just an updated version from 2020.

During training, I printed out the predictions after the final linear layer and all the predictions seem to be near the mean Value of the training data.

Is there a possible reason for this?

Could you please give some pointers from your experience?

My main question is whether the trend should be captured in the predictions or not during training?