---
language:
- en
license: llama2
datasets:
- meta-math/MetaMathQA
- gsm8k
pipeline_tag: text-generation
model-index:
- name: Metamath-reproduce-7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 47.18
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 73.65
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 42.94
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 41.58
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 71.35
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 58.15
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
      name: Open LLM Leaderboard
---
This model is a reproduction of [Meta-Math](https://huggingface.co/meta-math/MetaMath-7B-V1.0). 
We follow the training instructions described in the original repo as much as possible with minimal modifications.

## Prompt
Unlike the original Meta-math model, we do not use any instructions.

"""

Problem: {query_problem}\nSolution: {gt_solution}

"""

The {gt_solution} is provided in the training stage, whereas it is empty string in the evaluation stage.


# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_feidfoe__Metamath-reproduce-7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |55.81|
|AI2 Reasoning Challenge (25-Shot)|47.18|
|HellaSwag (10-Shot)              |73.65|
|MMLU (5-Shot)                    |42.94|
|TruthfulQA (0-shot)              |41.58|
|Winogrande (5-shot)              |71.35|
|GSM8k (5-shot)                   |58.15|