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open-llm-leaderboard-old/details_lqtrung1998__Codellama-7b-hf-ReFT-Rerank-GSM8k

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Hugging Face2024-03-05 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_lqtrung1998__Codellama-7b-hf-ReFT-Rerank-GSM8k
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资源简介:
该数据集是在评估模型[lqtrung1998/Codellama-7b-hf-ReFT-Rerank-GSM8k](https://huggingface.co/lqtrung1998/Codellama-7b-hf-ReFT-Rerank-GSM8k)时自动创建的,评估在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行。数据集由63个配置组成,每个配置对应一个评估任务。数据集从1次运行中创建,每次运行可以在每个配置中找到特定的分割,分割以运行的时间戳命名。"train"分割始终指向最新结果。此外,"results"配置存储了所有运行的聚合结果,并用于计算和显示[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。

该数据集是在评估模型[lqtrung1998/Codellama-7b-hf-ReFT-Rerank-GSM8k](https://huggingface.co/lqtrung1998/Codellama-7b-hf-ReFT-Rerank-GSM8k)时自动创建的,评估在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行。数据集由63个配置组成,每个配置对应一个评估任务。数据集从1次运行中创建,每次运行可以在每个配置中找到特定的分割,分割以运行的时间戳命名。"train"分割始终指向最新结果。此外,"results"配置存储了所有运行的聚合结果,并用于计算和显示[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。
提供机构:
open-llm-leaderboard-old
原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 lqtrung1998/Codellama-7b-hf-ReFT-Rerank-GSM8k 进行评估运行期间自动创建的。数据集包含 63 个配置,每个配置对应一个评估任务。数据集从 1 次运行中创建,每次运行的详细信息可以在每个配置中找到,使用运行的时间戳作为分割名称。"train" 分割始终指向最新的结果。

数据集加载

要加载数据集的详细信息,可以使用以下代码: python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lqtrung1998__Codellama-7b-hf-ReFT-Rerank-GSM8k", "harness_winogrande_5", split="train")

最新结果

以下是来自最新运行(2024-03-05T00:37:45.743048)的结果: python { "all": { "acc": 0.2468037154694787, "acc_stderr": 0.030588940762331273, "acc_norm": 0.2474659083336445, "acc_norm_stderr": 0.031401393639476693, "mc1": 0.2460220318237454, "mc1_stderr": 0.015077219200662578, "mc2": 0.4997242001927576, "mc2_stderr": 0.01687751410270577 }, "harness|arc:challenge|25": { "acc": 0.24232081911262798, "acc_stderr": 0.012521593295800116, "acc_norm": 0.29266211604095566, "acc_norm_stderr": 0.01329591610361941 }, "harness|hellaswag|10": { "acc": 0.2555267874925314, "acc_stderr": 0.0043526552636823385, "acc_norm": 0.2613025293766182, "acc_norm_stderr": 0.004384465219070756 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3037037037037037, "acc_stderr": 0.039725528847851375, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.039725528847851375 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.24342105263157895, "acc_stderr": 0.034923496688842384, "acc_norm": 0.24342105263157895, "acc_norm_stderr": 0.034923496688842384 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21132075471698114, "acc_stderr": 0.02512576648482784, "acc_norm": 0.21132075471698114, "acc_norm_stderr": 0.02512576648482784 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2152777777777778, "acc_stderr": 0.03437079344106134, "acc_norm": 0.2152777777777778, "acc_norm_stderr": 0.03437079344106134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.041633319989322674, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322674 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.22, "acc_stderr": 0.041633319989322674, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322674 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2658959537572254, "acc_stderr": 0.03368762932259431, "acc_norm": 0.2658959537572254, "acc_norm_stderr": 0.03368762932259431 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171452, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171452 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.20851063829787234, "acc_stderr": 0.026556982117838725, "acc_norm": 0.20851063829787234, "acc_norm_stderr": 0.026556982117838725 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21929824561403508, "acc_stderr": 0.03892431106518753, "acc_norm": 0.21929824561403508, "acc_norm_stderr": 0.03892431106518753 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.296551724137931, "acc_stderr": 0.03806142687309993, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.03806142687309993 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23809523809523808, "acc_stderr": 0.021935878081184756, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.021935878081184756 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2222222222222222, "acc_stderr": 0.037184890068181146, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.037184890068181146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.22258064516129034, "acc_stderr": 0.023664216671642518, "acc_norm": 0.22258064516129034, "acc_norm_stderr": 0.023664216671642518 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22167487684729065, "acc_stderr": 0.0292255758924896, "acc_norm": 0.22167487684729065, "acc_norm_stderr": 0.0292255758924896 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3151515151515151, "acc_stderr": 0.0362773057502241, "acc_norm": 0.3151515151515151, "acc_norm_stderr": 0.0362773057502241 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2828282828282828, "acc_stderr": 0.03208779558786753, "acc_norm": 0.2828282828282828, "acc_norm_stderr": 0.03208779558786753 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.27979274611398963, "acc_stderr": 0.03239637046735703, "acc_norm": 0.27979274611398963, "acc_norm_stderr": 0.03239637046735703 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2205128205128205, "acc_stderr": 0.02102067268082791, "acc_norm": 0.2205128205128205, "acc_norm_stderr": 0.02102067268082791 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2, "acc_stderr": 0.024388430433987654, "acc_norm": 0.2, "acc_norm_stderr": 0.024388430433987654 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.25630252100840334, "acc_stderr": 0.02835962087053395, "acc_norm": 0.25630252100840334, "acc_norm_stderr": 0.02835962087053395 }, "harness|hendrycksTest-high_school

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