CodeLlama-7B-ProXMath

ArXiv | Data: OpenWebMath-Pro | Code

CodeLlama-7B-ProXMath is a math-adapted language model that is continually pre-trained on OpenWebMath-Pro (a refined version by ProX) for 10B tokens.

Evaluations

ProX models are evaluated on 9 common math reasoning benchmarks.

Model	asdiv	gsm8k	mathqa	mawps	minerva_math	mmlu_stem	sat_math	svamp	tabmwp	average
CodeLlama-7B	50.7	11.8	14.3	62.6	5.0	20.4	21.9	44.2	30.6	29.1
CodeLlama-7B-ProXMath	67.9	35.6	38.9	82.7	17.6	42.6	62.5	55.8	41.3	49.4

Citation

@article{zhou2024programming,
  title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
  author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
  journal={arXiv preprint arXiv:2409.17115},
  year={2024}
}