Time-series forecasting on Temperature (test)
0.4459MAEPhi + STM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Phi + STMModel=Phi, prompt_reprogramming=true, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 0.4459 | 0.3648 | 63.12 | 90.07 | |
| DeepSeek + STMModel=DeepSeek, prompt_reprogramming=true, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 0.9536 | 1.229 | 51.37 | 75.63 | |
| Phi (Base)Model=Phi, prompt_reprogramming=false, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 1.209 | 3.674 | — | — | |
| DeepSeek (Base)Model=DeepSeek, prompt_reprogramming=false, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 1.9611 | 5.0441 | — | — | |
| LLaMA + STMModel=LLaMA, prompt_reprogramming=true, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 1.9679 | 8.3692 | 42.15 | 44.33 | |
| LLaMA (Base)Model=LLaMA, prompt_reprogramming=false, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 3.4022 | 15.0385 | — | — | |
| Gemma + STMModel=Gemma, prompt_reprogramming=true, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 4.4537 | 20.7319 | 1.07 | 3.25 | |
| Gemma (Base)Model=Gemma, prompt_reprogramming=false, fine-tuning=false, num_return_sequences=1, temperature=0.12, top_p=0.9, do_sample=false2026.01 | 4.5017 | 21.4292 | — | — |