| | --- |
| | license: apache-2.0 |
| | base_model: |
| | - Qwen/Qwen2.5-Coder-7B-Instruct |
| | --- |
| | |
| | ## Overview |
| | Arctic-Text2SQL-R1-7B is a 7-billion-parameter Text-to-SQL model fine-tuned using Group Relative Policy Optimization (GRPO) with a simple execution-based reward signal. It converts natural language questions into executable SQL queries. |
| |
|
| | Read more in our paper: [Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL](https://arxiv.org/abs/2505.20315). |
| |
|
| | ## Key Features |
| |
|
| | - **Lightweight RL formulation**: Uses only execution correctness and syntax validity as rewards. |
| | - **State-of-the-art performance**: Achieves 68.9% execution accuracy on BIRD-dev and 68.5% on BIRD-test, with an average of 57.2% across six benchmarks (BIRD, Spider, Spider2.0, Spider-DK, EHRSQL, ScienceBenchmark) |
| | - **Efficiency**: Outperforms many 70B+ models with only 7B parameters. |
| |
|
| | ## Intended Use |
| |
|
| | This model is designed for: |
| |
|
| | - Interactive natural language interfaces to relational databases. |
| | - Data analytics tools enabling non-technical users to query databases. |
| |
|
| | ### Not intended for: |
| | - Generation of non-SQL text or free-form natural language tasks. |
| | - Production systems without validation, especially in safety-critical domains. |
| |
|
| | | Benchmark | Dev/Test Accuracy | |
| | | ---------------- | ----------------- | |
| | | BIRD-dev | 68.9% | |
| | | BIRD-test | 68.5% | |
| | | Spider-test | 88.8% | |
| | | Spider2.0-DK | 15.6% | |
| | | EHRSQL | 36.7% | |
| | | ScienceBenchmark | 51.8% | |
| | | **Average** | **57.2%** | |
| |
|
| |
|
| | ## Ethical Considerations |
| | - Avoid using for private or sensitive data without proper oversight. |
| | - Validate generated SQL to prevent data leakage or unauthorized access. |
