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open-llm-leaderboard-old/details_lgaalves__gpt2-xl_lima

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Hugging Face2023-11-15 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_lgaalves__gpt2-xl_lima
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资源简介:
该数据集是在评估模型lgaalves/gpt2-xl_lima时自动创建的,包含64个配置,每个配置对应一个评估任务。数据集由1次运行生成,每次运行的结果存储为特定的分割,分割名称使用运行的时间戳。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,用于计算和展示在Open LLM Leaderboard上的聚合指标。

该数据集是在评估模型lgaalves/gpt2-xl_lima时自动创建的,包含64个配置,每个配置对应一个评估任务。数据集由1次运行生成,每次运行的结果存储为特定的分割,分割名称使用运行的时间戳。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,用于计算和展示在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

数据集来源

该数据集是在评估模型 lgaalves/gpt2-xl_limaOpen LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

数据集由64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,分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。

额外配置

一个额外的配置 "results" 存储了所有运行的聚合结果,用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lgaalves__gpt2-xl_lima_public", "harness_winogrande_5", split="train")

最新结果

这些是最新的结果,来自2023-11-15T03:46:31.104311的运行: python { "all": { "acc": 0.2579848503192349, "acc_stderr": 0.030758432385023834, "acc_norm": 0.25961199994409145, "acc_norm_stderr": 0.03153372055003476, "mc1": 0.2252141982864137, "mc1_stderr": 0.014623240768023507, "mc2": 0.3874325444900457, "mc2_stderr": 0.014089660369122726, "em": 0.002726510067114094, "em_stderr": 0.0005340111700415908, "f1": 0.04890100671140956, "f1_stderr": 0.0013085576550093093 }, "harness|arc:challenge|25": { "acc": 0.2645051194539249, "acc_stderr": 0.012889272949313368, "acc_norm": 0.31143344709897613, "acc_norm_stderr": 0.013532472099850949 }, "harness|hellaswag|10": { "acc": 0.39842660824536946, "acc_stderr": 0.004885735963346903, "acc_norm": 0.5128460466042621, "acc_norm_stderr": 0.004988134303021793 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.24444444444444444, "acc_stderr": 0.03712537833614865, "acc_norm": 0.24444444444444444, "acc_norm_stderr": 0.03712537833614865 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2236842105263158, "acc_stderr": 0.033911609343436025, "acc_norm": 0.2236842105263158, "acc_norm_stderr": 0.033911609343436025 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.30566037735849055, "acc_stderr": 0.028353298073322666, "acc_norm": 0.30566037735849055, "acc_norm_stderr": 0.028353298073322666 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.037455547914624576, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.037455547914624576 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.04688261722621503, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621503 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.13725490196078433, "acc_stderr": 0.03424084669891522, "acc_norm": 0.13725490196078433, "acc_norm_stderr": 0.03424084669891522 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.251063829787234, "acc_stderr": 0.028346963777162445, "acc_norm": 0.251063829787234, "acc_norm_stderr": 0.028346963777162445 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.039994238792813344, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.039994238792813344 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2827586206896552, "acc_stderr": 0.03752833958003336, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.03752833958003336 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.20105820105820105, "acc_stderr": 0.020641810782370165, "acc_norm": 0.20105820105820105, "acc_norm_stderr": 0.020641810782370165 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.041049472699033945, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.041049472699033945 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.20967741935483872, "acc_stderr": 0.02315787934908352, "acc_norm": 0.20967741935483872, "acc_norm_stderr": 0.02315787934908352 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.15763546798029557, "acc_stderr": 0.025639014131172408, "acc_norm": 0.15763546798029557, "acc_norm_stderr": 0.025639014131172408 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "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": 0.3383838383838384, "acc_stderr": 0.03371124142626302, "acc_norm": 0.3383838383838384, "acc_norm_stderr": 0.03371124142626302 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22797927461139897, "acc_stderr": 0.03027690994517825, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.03027690994517825 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3564102564102564, "acc_stderr": 0.024283140529467295, "acc_norm": 0.3564102564102564, "acc_norm_stderr": 0.024283140529467295 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2111111111111111, "acc_stderr": 0.024882116857655078, "acc_norm": 0.2111111111111111, "acc_norm_stderr": 0.024882116857655078 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.226890756302521, "acc_stderr": 0.02720537153827948, "acc_norm": 0.226890756302521, "acc_norm_stderr": 0.02720537153827948 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2980132450331126, "acc_stderr": 0.03734535676787198, "acc_norm": 0.2980132450331126, "acc_norm_stderr": 0.03734535676787198 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.3522935779816514, "acc_stderr": 0.020480568843999, "acc_norm": 0.3522935779816514, "acc_norm_stderr": 0.020480568843999 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4537037037037037, "acc_stderr": 0.033953227263757976, "acc_norm": 0.4537037037037037, "acc_norm_stderr": 0.033953227263757976 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.20098039215686275, "acc_stderr": 0.028125972265654373, "acc_norm": 0.20098039215686275, "acc_norm_stderr": 0.028125972265654373 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.20675105485232068, "acc_stderr": 0.026361651668389094, "acc_norm": 0.20675105485232068, "acc_norm_stderr": 0.026361651668389094 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.14349775784753363, "acc_stderr": 0.0235293712696182, "acc_norm": 0.14349775784753363, "acc_norm_stderr": 0.0235293712696182 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.24427480916030533, "acc_stderr": 0.037683359597287434, "acc_norm": 0.24427480916030533, "acc_norm_stderr": 0.037683359597287434 }, "harness|hendrycksTest-international_law|5": { "acc": 0.15702479338842976, "acc_stderr": 0.0332124484254713, "acc_norm": 0.15702479338842976, "acc_norm_stderr": 0.0332124484254713 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25925925925925924, "acc_stderr": 0.042365112580946336, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.042365112580946336 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.27607361963190186, "acc_stderr": 0.0351238528370505, "acc_norm": 0.27607361963190186, "acc_norm_stderr": 0.0351238528370505 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.2857142857142857, "acc_stderr": 0.042878587513404565, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.042878587513404565 }, "harness|hendrycksTest-management|5": { "acc": 0.27184466019417475, "acc_stderr": 0.044052680241409216, "acc_norm": 0.27184466019417475, "acc_norm_stderr": 0.044052680241409216 }, "harness|hendrycksTest-marketing|5": { "acc": 0.23931623931623933, "acc_stderr": 0.02795182680892433, "acc_norm": 0.23931623931623933, "acc_norm_stderr": 0.02795182680892433 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.26181353767560667, "acc_stderr": 0.015720838678445256, "acc_norm": 0.26181353767560667, "acc_norm_stderr": 0.015720838678445256 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.24855491329479767, "acc_stderr": 0.023267528432100174, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.023267528432100174 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2424581005586592, "acc_stderr": 0.014333522059217889, "acc_norm": 0.2424581005586592, "acc_norm_stderr": 0.014333522059217889 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.22549019607843138, "acc_stderr": 0.023929155517351294, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.023929155517351294 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.2057877813504823, "acc_stderr": 0.022961339906764244, "acc_norm": 0.2057877813504823, "acc_norm_stderr": 0.022961339906764244 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.25617283950617287, "acc_stderr": 0.0242885336377261, "acc_norm": 0.25617283950617287, "acc_norm_stderr": 0.0242885336377261 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.23049645390070922, "acc_stderr": 0.02512373922687241, "acc_norm": 0.23049645390070922, "acc_norm_stderr": 0.02512373922687241 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.24119947848761408, "acc_stderr": 0.010926496102034956, "acc_norm": 0.24119947848761408, "acc_norm_stderr": 0.010926496102034956 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.19852941176470587, "acc_stderr": 0.024231013370541107, "acc_norm": 0.19852941176470587, "acc_norm_stderr": 0.024231013370541107 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 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"harness|hendrycksTest-world_religions|5": { "acc": 0.3216374269005848, "acc_stderr": 0.03582529442573122, "acc_norm": 0.3216374269005848, "acc_norm_stderr": 0.03582529442573122 }, "harness|truthfulqa:mc|0": { "mc1": 0.2252141982864137, "mc1_stderr": 0.014623240768023507, "mc2": 0.3874325444900457, "mc2_stderr": 0.014089660369122726 }, "harness|winogrande|5": { "acc": 0.5722178374112076, "acc_stderr": 0.013905134013839943 }, "harness|drop|3": { "em": 0.002726510067114094, "em_stderr": 0.0005340111700415908, "f1": 0.04890100671140956, "f1_stderr": 0.0013085576550093093 }, "harness|gsm8k|5": { "acc": 0.009097801364670205, "acc_stderr": 0.002615326510775673 } }

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