Math Shepherd Mistral 7b Rl
A math problem-solving model based on Math-Shepherd's step-by-step reinforcement learning, excelling on GSM8K and MATH datasets
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Release Time : 1/3/2024
Model Overview
This model is trained through step-by-step reinforcement learning specifically for solving mathematical problems, capable of generating detailed solutions with step markers
Model Features
Step-by-Step Reinforcement Learning
Utilizes the Math-Shepherd method for step-by-step reinforcement learning training to enhance mathematical reasoning capabilities
High Pass Rate
Achieves single-pass rates of 84.1% on GSM8K and 33.0% on the MATH dataset
Structured Output
Generates step-by-step solutions with special step markers for easy parsing and understanding of the reasoning process
Model Capabilities
Mathematical Problem Solving
Step-by-Step Reasoning
Numerical Calculation
Word Problem Solving
Use Cases
Education
Math Tutoring
Helps students understand the problem-solving process in mathematics
Provides detailed step-by-step explanations
Automated Grading
Evaluates the correctness of students' mathematical solutions
Assesses problem-solving steps through step-by-step analysis
Research
Mathematical Reasoning Research
Investigates the mathematical reasoning capabilities of large language models
Provides benchmark performance on standard datasets
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