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wikisql-qwen2.5-coder-qlora

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-base_model: Qwen/Qwen2.5-Coder-3B-Instruct
-library_name: peft
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-- PEFT 0.7.1

+# WikiSQL Qwen2.5-Coder QLoRA
+## 1. Introduction
+This project fine-tunes a language model for natural-language-to-SQL generation. The goal is to take a table schema and a plain-English question, then return the correct SQL query. This task is important because many users need to query structured data but may not know SQL syntax. Current LLMs can often generate SQL, but they may struggle with exact column names, formatting, capitalization, and producing only the query without extra text. I fine-tuned `Qwen/Qwen2.5-Coder-3B-Instruct` using QLoRA on WikiSQL-style examples. After fine-tuning, normalized exact-match accuracy on the held-out WikiSQL test set improved from 0.27 to 0.64, showing that the adapter made the model more consistent at producing the expected SQL format.