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open-llm-leaderboard-old/details_Locutusque__TinyMistral-248M-v2.5-Instruct

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Hugging Face2024-01-27 更新2024-06-22 收录
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https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_Locutusque__TinyMistral-248M-v2.5-Instruct
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资源简介:
该数据集是在Open LLM Leaderboard上对模型Locutusque/TinyMistral-248M-v2.5-Instruct进行评估时自动创建的。数据集包含63个配置,每个配置对应一个评估任务。数据集由1次运行创建,每次运行的结果作为特定配置中的一个分割,分割名称使用运行的时间戳。train分割始终指向最新的结果。此外,还有一个名为results的配置,存储了所有运行的聚合结果,并用于计算和显示Open LLM Leaderboard上的聚合指标。

该数据集是在Open LLM Leaderboard上对模型Locutusque/TinyMistral-248M-v2.5-Instruct进行评估时自动创建的。数据集包含63个配置,每个配置对应一个评估任务。数据集由1次运行创建,每次运行的结果作为特定配置中的一个分割,分割名称使用运行的时间戳。train分割始终指向最新的结果。此外,还有一个名为results的配置,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

数据集简介

该数据集是在评估模型 Locutusque/TinyMistral-248M-v2.5-InstructOpen LLM Leaderboard 上的运行过程中自动创建的。

数据集结构

  • 配置数量:63个配置,每个配置对应一个评估任务。
  • 运行次数:数据集来自1次运行。每个运行结果作为一个特定的分割存储在每个配置中,分割名称使用运行的时间戳。
  • 最新结果:"train" 分割始终指向最新的结果。
  • 聚合结果:一个额外的配置 "results" 存储所有运行的聚合结果,用于计算并在 Open LLM Leaderboard 上显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Locutusque__TinyMistral-248M-v2.5-Instruct", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-27T01:45:07.837106 运行 的最新结果:

python { "all": { "acc": 0.23908148309733446, "acc_stderr": 0.030234054596903193, "acc_norm": 0.2393250264225143, "acc_norm_stderr": 0.031024873198164184, "mc1": 0.2460220318237454, "mc1_stderr": 0.015077219200662587, "mc2": 0.4420811324629599, "mc2_stderr": 0.015284325356180175 }, "harness|arc:challenge|25": { "acc": 0.21331058020477817, "acc_stderr": 0.011970971742326334, "acc_norm": 0.2226962457337884, "acc_norm_stderr": 0.012158314774829931 }, "harness|hellaswag|10": { "acc": 0.2669786895040829, "acc_stderr": 0.004414770331224643, "acc_norm": 0.27604062935670187, "acc_norm_stderr": 0.004461235175488311 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2, "acc_stderr": 0.034554737023254366, "acc_norm": 0.2, "acc_norm_stderr": 0.034554737023254366 }, "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": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.24528301886792453, "acc_stderr": 0.026480357179895702, "acc_norm": 0.24528301886792453, "acc_norm_stderr": 0.026480357179895702 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2708333333333333, "acc_stderr": 0.03716177437566017, "acc_norm": 0.2708333333333333, "acc_norm_stderr": 0.03716177437566017 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.16, "acc_stderr": 0.03684529491774709, "acc_norm": 0.16, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.19, "acc_stderr": 0.03942772444036625, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036625 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24855491329479767, "acc_stderr": 0.03295304696818318, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.03295304696818318 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.039505818611799616, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.039505818611799616 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.28936170212765955, "acc_stderr": 0.029644006577009618, "acc_norm": 0.28936170212765955, "acc_norm_stderr": 0.029644006577009618 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281337, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281337 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2482758620689655, "acc_stderr": 0.036001056927277716, "acc_norm": 0.2482758620689655, "acc_norm_stderr": 0.036001056927277716 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633356, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633356 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.20634920634920634, "acc_stderr": 0.03619604524124251, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.03619604524124251 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.21935483870967742, "acc_stderr": 0.023540799358723278, "acc_norm": 0.21935483870967742, "acc_norm_stderr": 0.023540799358723278 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3103448275862069, "acc_stderr": 0.03255086769970103, "acc_norm": 0.3103448275862069, "acc_norm_stderr": 0.03255086769970103 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.23, "acc_stderr": 0.042295258468165044, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24848484848484848, "acc_stderr": 0.03374402644139404, "acc_norm": 0.24848484848484848, "acc_norm_stderr": 0.03374402644139404 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21717171717171718, "acc_stderr": 0.02937661648494562, "acc_norm": 0.21717171717171718, "acc_norm_stderr": 0.02937661648494562 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.20207253886010362, "acc_stderr": 0.02897908979429673, "acc_norm": 0.20207253886010362, "acc_norm_stderr": 0.02897908979429673 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2692307692307692, "acc_stderr": 0.022489389793654824, "acc_norm": 0.2692307692307692, "acc_norm_stderr": 0.022489389793654824 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945284, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945284 }, "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_physics|5": { "acc": 0.2185430463576159, "acc_stderr": 0.03374235550425694, "acc_norm": 0.2185430463576159, "acc_norm_stderr": 0.03374235550425694 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.20917431192660552, "acc_stderr": 0.017437937173343226, "acc_norm": 0.20917431192660552, "acc_norm_stderr": 0.017437937173343226 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.24074074074074073, "acc_stderr": 0.029157522184605617, "acc_norm": 0.24074074074074073, "acc_norm_stderr": 0.029157522184605617 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.23529411764705882, "acc_stderr": 0.029771775228145628, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.029771775228145628 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.26582278481012656, "acc_stderr": 0.028756799629658335, "acc_norm": 0.26582278481012656, "acc_norm_stderr": 0.028756799629658335 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.242152466367713, "acc_stderr": 0.028751392398694755, "acc_norm": 0.242152466367713, "acc_norm_stderr": 0.028751392398694755 }, "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": 0.23140495867768596, "acc_stderr": 0.03849856098794089, "acc_norm": 0.23140495867768596, "acc_norm_stderr": 0.03849856098794089 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.28703703703703703, "acc_stderr": 0.043733130409147614, "acc_norm": 0.28703703703703703, "acc_norm_stderr": 0.043733130409147614 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.2147239263803681, "acc_stderr": 0.03226219377286774, "acc_norm": 0.2147239263803681, "acc_norm_stderr": 0.03226219377286774 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.25892857142857145, "acc_stderr": 0.04157751539865629, "acc_norm": 0.25892857142857145, "acc_norm_stderr": 0.04157751539865629 }, "harness|hendrycksTest-management|5": { "acc": 0.1941747572815534, "acc_stderr": 0.039166677628225836, "acc_norm": 0.1941747572815534, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.24358974358974358, "acc_stderr": 0.028120966503914418, "acc_norm": 0.24358974358974358, "acc_norm_stderr": 0.028120966503914418 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2720306513409962, "acc_stderr": 0.015913367447500527, "acc_norm": 0.2720306513409962, "acc_norm_stderr": 0.015913367447500527 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.2543352601156069, "acc_stderr": 0.02344582627654555, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.02344582627654555 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2446927374301676, "acc_stderr": 0.014378169884098431, "acc_norm": 0.2446927374301676, "acc_norm_stderr": 0.014378169884098431 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.20915032679738563, "acc_stderr": 0.023287685312334806, "acc_norm": 0.20915032679738563, "acc_norm_stderr": 0.023287685312334806 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.20257234726688103, "acc_stderr": 0.02282731749105968, "acc_norm": 0.20257234726688103, "acc_norm_stderr": 0.02282731749105968 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.21296296296296297, "acc_stderr": 0.022779719088733396, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.022779719088733396 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.25886524822695034, "acc_stderr": 0.026129572527180848, "acc_norm": 0.25886524822695034, "acc_norm_stderr": 0.026129572527180848 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.23468057366362452, "acc_stderr": 0.010824026872449322, "acc_norm": 0.23468057366362452, "acc_norm_stderr": 0.010824026872449322 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.20955882352941177, "acc_stderr": 0.024723110407677055, "acc_norm": 0.20955882352941177, "acc_norm_stderr": 0.024723110407677055 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.26633986928104575, "acc_stderr": 0.0178831881346672, "acc_norm": 0.26633986928104575, "acc_norm_stderr": 0.0178831881346672 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.2636363636363636, "acc_stderr": 0.04220224692971987, "acc_norm": 0.2636363636363636, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.19183673469387755, "acc_stderr": 0.025206963154225374, "acc_norm": 0.19183673469387755, "acc_norm_stderr": 0.025206963154225374 }, "harness|hendrycksTest-sociology|5": { "acc": 0.21393034825870647, "acc_stderr": 0.028996909693328934, "acc_norm": 0.21393034825870647, "acc_norm_stderr": 0.028996909693328934 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-virology|5": { "acc": 0.18072289156626506, "acc_stderr": 0.029955737855810138, "acc_norm": 0.18072289156626506, "acc_norm_stderr": 0.029955737855810138 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03218093795602357, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03218093795602357 }, "harness|truthfulqa:mc|0": { "mc1": 0.2460220318237454, "mc1_stderr": 0.015077219200662587, "mc2": 0.4420811324629599, "mc2_stderr": 0.015284325356180175 }, "harness|winogrande|5": { "acc": 0.48224151539068666, "acc_stderr": 0.014043619596174966 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } }

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