---
language: en
tags:
  - sql
  - code-generation
  - reinforcement-learning
  - text-generation
datasets:
  - spider

---

# Model Card for RL-GRPO-SQL-Model

## Model Details

### Model Description
- **Model type**: Fine-tuned Causal Language Model with Reinforcement Learning
- **Training approach**: Reinforcement Learning with GRPO (Group Relative Policy Optimization)
- **Task**: SQL generation and understanding
- **Developed by**: Ali Assi

## Training Data

- **Data sources**: Spider train set
- **Preprocessing**: Parsing and validation
- **Languages**: English

## How to Use

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ALI-USER/rl-grpo-sql-model")
model = AutoModelForCausalLM.from_pretrained("ALI-USER/rl-grpo-sql-model")

# Example usage
prompt = "Generate SQL for: Find all customers with orders over $100"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
print(tokenizer.decode(outputs[0]))
```

## Limitations

- Model performance may vary depending on database schema complexity

## Ethical Considerations

- May generate SQL queries that are inefficient or unsafe if not properly validated
- Should be used with query validation before execution

## Intended Uses

**Primary use cases:**
- Natural language to SQL translation
- SQL code generation assistance
- Educational purposes for SQL understanding

**Out-of-scope uses:**
- Direct production deployment without query validation
- Non-English language queries (not trained for this)