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alialialialaiali/
rl-grpo-sql-model

Name: rl-grpo-sql-model
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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)

alialialialaiali/rl-grpo-sql-model

Model Card for RL-GRPO-SQL-Model

Model Details

Model Description

Training Data

How to Use

Limitations

Ethical Considerations

Intended Uses

alialialialaiali/
rl-grpo-sql-model