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---
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|
|