Time-series Forecasting on ODTQA-FoRe 1.0 (test)
18,493,634.83MSETimeFore
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TimeForeModel=GPT OSS 120B2026.06 | 18,493,634.83 | 2,501.18 | 11.51 | |
| TimeForeModel=Qwen3 Next 80B2026.06 | 22,442,845.96 | 2,588.87 | 11.81 | |
| TimeForeModel=GPT OSS 20B2026.06 | 29,757,828.58 | 2,887.44 | 12.8 | |
| VanillaModel=Qwen3 Next 80B2026.06 | 30,942,598.21 | 3,406.43 | 15.86 | |
| TimeForeModel=Qwen3 30B2026.06 | 31,572,410.36 | 2,788.2 | 13.26 | |
| VanillaModel=Qwen3 30B2026.06 | 40,385,720.95 | 3,698.36 | 16.27 | |
| VanillaModel=GPT OSS 120B2026.06 | 47,324,931.58 | 3,786.48 | 16.83 | |
| TimeForeModel=GLM4.5 Air2026.06 | 90,865,440.59 | 2,709.25 | 11.72 | |
| VanillaModel=GPT OSS 20B2026.06 | 105,115,117.2 | 4,394.56 | 18.38 | |
| VanillaModel=GLM4.5 Air2026.06 | 139,922,250.13 | 3,324.41 | 14.15 |