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  ---
 
 
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  license: llama2
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  datasets:
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  - meta-math/MetaMathQA
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  - gsm8k
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- language:
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- - en
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This model is a reproduction of [Meta-Math](https://huggingface.co/meta-math/MetaMath-7B-V1.0).
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  We follow the training instructions described in the original repo as much as possible with minimal modifications.
@@ -21,3 +124,17 @@ Problem: {query_problem}\nSolution: {gt_solution}
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  The {gt_solution} is provided in the training stage, whereas it is empty string in the evaluation stage.
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  ---
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+ language:
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+ - en
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  license: llama2
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  datasets:
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  - meta-math/MetaMathQA
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  - gsm8k
 
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Metamath-reproduce-7b
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 47.18
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 73.65
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 42.94
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 41.58
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 71.35
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 58.15
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=feidfoe/Metamath-reproduce-7b
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+ name: Open LLM Leaderboard
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  ---
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  This model is a reproduction of [Meta-Math](https://huggingface.co/meta-math/MetaMath-7B-V1.0).
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  We follow the training instructions described in the original repo as much as possible with minimal modifications.
 
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  The {gt_solution} is provided in the training stage, whereas it is empty string in the evaluation stage.
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+
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_feidfoe__Metamath-reproduce-7b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |55.81|
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+ |AI2 Reasoning Challenge (25-Shot)|47.18|
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+ |HellaSwag (10-Shot) |73.65|
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+ |MMLU (5-Shot) |42.94|
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+ |TruthfulQA (0-shot) |41.58|
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+ |Winogrande (5-shot) |71.35|
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+ |GSM8k (5-shot) |58.15|
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+