MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language understanding and exhibited excellent problem-solving ability. Despite the great success, most existing open-source LLMs (e.g., LLaMA-2) are still far away from satisfactory for solving mathematical problem due to the complex reasoning procedures. To bridge this gap, we propose MetaMath, a fine-tuned language model that specializes in mathematical reasoning. Specifically, we start by bootstrapping mathematical questions by rewriting the question from multiple perspectives without extra knowledge, which results in a new dataset called MetaMathQA. Then we fine-tune the LLaMA-2 models on MetaMathQA. Experimental results on two popular benchmarks (i.e., GSM8K and MATH) for mathematical reasoning demonstrate that MetaMath outperforms a suite of open-source LLMs by a significant margin. Our MetaMath-7B model achieves 66.4% on GSM8K and 19.4% on MATH, exceeding the state-of-the-art models of the same size by 11.5% and 8.7%. Particularly, MetaMath-70B achieves an accuracy of 82.3% on GSM8K, slightly better than GPT-3.5-Turbo. We release all the MetaMathQA dataset, the MetaMath models with different model sizes and the training code for public use.
PDF AbstractCode
GSM8K
MATH
DROP
Results from the Paper
Ranked #57 on
Arithmetic Reasoning
on GSM8K
(using extra training data)
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Uses Extra Training Data |
Benchmark |
|---|---|---|---|---|---|---|---|
| Arithmetic Reasoning | GSM8K | MetaMath-Mistral-7B | Accuracy | 77.7 | # 77 | ||
| Parameters (Billion) | 7 | # 10 | |||||
| Arithmetic Reasoning | GSM8K | MetaMath 7B | Accuracy | 66.4 | # 105 | ||
| Parameters (Billion) | 7 | # 10 | |||||
| Arithmetic Reasoning | GSM8K | MetaMath 13B | Accuracy | 71.0 | # 98 | ||
| Parameters (Billion) | 13 | # 58 | |||||
| Arithmetic Reasoning | GSM8K | MetaMath 70B | Accuracy | 82.3 | # 57 | ||
| Parameters (Billion) | 70 | # 90 | |||||
| Math Word Problem Solving | MATH | MetaMath 7B | Accuracy | 19.4 | # 104 | ||
| Parameters (Billions) | 7 | # 65 | |||||
| Math Word Problem Solving | MATH | MetaMath 70B | Accuracy | 26.0 | # 95 | ||
| Parameters (Billions) | 70 | # 14 | |||||
| Math Word Problem Solving | MATH | MetaMath 13B | Accuracy | 22.5 | # 101 | ||
| Parameters (Billions) | 13 | # 44 |
