Text-to-SQL on Gretel synthetic Text-to-SQL
75.41AccuracyMoLF
Evaluation results
| Method | Links | |
|---|---|---|
| MoLFBase Model=Qwen-3B2026.05 | 75.41 | |
| Best of FFT/LoRABase Model=Qwen-3B2026.05 | 75.23 | |
| LoRA (best rank)Base Model=Qwen-3B2026.05 | 75.23 | |
| FFTBase Model=Qwen-3B2026.05 | 75.06 | |
| Best of FFT/LoRABase Model=Qwen-1.5B2026.05 | 74.81 | |
| FFTBase Model=Qwen-1.5B2026.05 | 74.81 | |
| MoLFBase Model=Qwen-1.5B2026.05 | 74.44 | |
| LoRA (best rank)Base Model=Qwen-1.5B2026.05 | 74.39 | |
| MoLFBase Model=Gemma-1B2026.05 | 73.09 | |
| Best of FFT/LoRABase Model=Gemma-1B2026.05 | 72.76 | |
| FFTBase Model=Gemma-1B2026.05 | 72.76 | |
| LoRA (best rank)Base Model=Gemma-1B2026.05 | 71.93 |