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README.md
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@@ -3,7 +3,7 @@ license: bigscience-openrail-m
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-3B-
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pipeline_tag: translation
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---
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@@ -13,4 +13,4 @@ We further evaluate **DatA-SQL-3B** on the **BIRD** development set using differ
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Under **Vote@8**, our model attains an **execution accuracy (EX) of 61.05 %**.
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When the voting size increases to **Vote@32**, the EX further improves to **62.58 %**.
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These results confirm that larger voting ensembles enhance semantic robustness and execution stability while maintaining nearly the same inference cost due to our lightweight multi-agent design.
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Overall, **DatA-SQL** achieves competitive or superior accuracy compared with GPT-based pipelines at only a fraction of their computational expense.
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-3B-Instruct
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pipeline_tag: translation
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---
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| 13 |
Under **Vote@8**, our model attains an **execution accuracy (EX) of 61.05 %**.
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| 14 |
When the voting size increases to **Vote@32**, the EX further improves to **62.58 %**.
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| 15 |
These results confirm that larger voting ensembles enhance semantic robustness and execution stability while maintaining nearly the same inference cost due to our lightweight multi-agent design.
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Overall, **DatA-SQL** achieves competitive or superior accuracy compared with GPT-based pipelines at only a fraction of their computational expense.
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