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