how should i deal with severe imbalanced data in time series forecasting? i have : 0 : 366000 rows 1 : 6000 rows -1 : 7000 rows

For forecasting, it shouldn't matter.

I'm trying to capture the trends, so I convert it from regression into classification. but the model cannot capture the tends. mostly classifies 0's only