[P]Update: Solved the intensity problem + got major accuracy boost - here's what worked

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The “intensity problem” wasn’t a model problem — it was a data problem Someone in the comments suggested checking label correlation first. I ran: print(df['intensity'].corr(df['stress_level'])) # 0.003 print(df['intensity'].corr(df['energy_level'])) # 0.005 print(df['intensity'].corr(df['sentiment'])) # 0.06 All under 0.06. At that point it was clear — the intensity labels were basically random. No model can learn meaningful patterns from noise like that. What I did instead Rather than trying...