open-llm-leaderboard-old/details_julleong__illuni-llama-2-ko-7b-test

该数据集是在Open LLM Leaderboard上对模型julleong/illuni-llama-2-ko-7b-test进行评估时自动创建的。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的特定分割中找到，分割以运行的时间戳命名。train分割始终指向最新的结果。此外，一个名为results的配置存储了所有运行的聚合结果，并用于计算和显示在Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 julleong/illuni-llama-2-ko-7b-test 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 63 个配置，每个配置对应一个评估任务。
• 数据集来自 1 次运行，每个运行在每个配置中都有一个特定的分割，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 额外的 "results" 配置存储所有运行的聚合结果，用于计算和显示 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_julleong__illuni-llama-2-ko-7b-test", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-07T14:52:33.862107 运行的最新结果：

python { "all": { "acc": 0.29338568029421425, "acc_stderr": 0.032029488235203775, "acc_norm": 0.2955428748433477, "acc_norm_stderr": 0.03281437925902047, "mc1": 0.19951040391676866, "mc1_stderr": 0.013989929967559647, "mc2": 0.3329691460247487, "mc2_stderr": 0.014677158673168721 }, "harness|arc:challenge|25": { "acc": 0.3916382252559727, "acc_stderr": 0.014264122124938213, "acc_norm": 0.43430034129692835, "acc_norm_stderr": 0.014484703048857357 }, "harness|hellaswag|10": { "acc": 0.4887472615016929, "acc_stderr": 0.004988517597998613, "acc_norm": 0.6485759808803028, "acc_norm_stderr": 0.00476439398511103 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.044084400227680814, "acc_norm": 0.26, "acc_norm_stderr": 0.044084400227680814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.37037037037037035, "acc_stderr": 0.041716541613545426, "acc_norm": 0.37037037037037035, "acc_norm_stderr": 0.041716541613545426 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03459777606810538, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03459777606810538 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2792452830188679, "acc_stderr": 0.02761116340239972, "acc_norm": 0.2792452830188679, "acc_norm_stderr": 0.02761116340239972 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.03745554791462457, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.03745554791462457 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2254335260115607, "acc_stderr": 0.03186209851641143, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.03186209851641143 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.038739587141493496, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.038739587141493496 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3446808510638298, "acc_stderr": 0.03106898596312215, "acc_norm": 0.3446808510638298, "acc_norm_stderr": 0.03106898596312215 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281335, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281335 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2689655172413793, "acc_stderr": 0.03695183311650232, "acc_norm": 0.2689655172413793, "acc_norm_stderr": 0.03695183311650232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2275132275132275, "acc_stderr": 0.021591269407823785, "acc_norm": 0.2275132275132275, "acc_norm_stderr": 0.021591269407823785 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.0339549002085611, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.0339549002085611 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3, "acc_stderr": 0.02606936229533514, "acc_norm": 0.3, "acc_norm_stderr": 0.02606936229533514 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.27586206896551724, "acc_stderr": 0.031447125816782426, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.031447125816782426 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3212121212121212, "acc_stderr": 0.03646204963253812, "acc_norm": 0.3212121212121212, "acc_norm_stderr": 0.03646204963253812 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.31313131313131315, "acc_stderr": 0.033042050878136525, "acc_norm": 0.31313131313131315, "acc_norm_stderr": 0.033042050878136525 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.29015544041450775, "acc_stderr": 0.03275264467791516, "acc_norm": 0.29015544041450775, "acc_norm_stderr": 0.03275264467791516 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423084, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423084 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25555555555555554, "acc_stderr": 0.026593939101844082, "acc_norm": 0.25555555555555554, "acc_norm_stderr":