open-llm-leaderboard-old/details_Fizzarolli__sappha-2b-v3

该数据集是在Open LLM Leaderboard上对模型Fizzarolli/sappha-2b-v3进行评估时自动生成的。数据集由63个配置组成，每个配置对应一个评估任务。它包括一次运行的结果，每次运行作为一个特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个results配置，用于汇总运行的所有结果，并用于计算和显示Open LLM Leaderboard上的指标。README还提供了一个Python代码片段来加载数据集，并列出了特定运行的最新结果。

原始信息汇总

数据集概述

该数据集是在评估模型 Fizzarolli/sappha-2b-v3 在 Open LLM Leaderboard 上的运行过程中自动创建的。数据集包含 63 个配置，每个配置对应一个评估任务。

数据集结构

• 配置数量：63 个配置
• 创建来源：来自 1 次运行，每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。
• 最新结果："train" 分割始终指向最新结果。
• 结果汇总：一个额外的配置 "results" 存储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_Fizzarolli__sappha-2b-v3", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-24T14:34:41.283293 运行的最新结果：

python { "all": { "acc": 0.38770836928908536, "acc_stderr": 0.03401202691311986, "acc_norm": 0.39301680909612896, "acc_norm_stderr": 0.03490947267798798, "mc1": 0.2350061199510404, "mc1_stderr": 0.014843061507731613, "mc2": 0.3993902530198297, "mc2_stderr": 0.014276014222438483 }, "harness|arc:challenge|25": { "acc": 0.447098976109215, "acc_stderr": 0.014529380160526848, "acc_norm": 0.4616040955631399, "acc_norm_stderr": 0.01456824555029636 }, "harness|hellaswag|10": { "acc": 0.5266879107747461, "acc_stderr": 0.004982668452118941, "acc_norm": 0.707329217287393, "acc_norm_stderr": 0.004540586983229991 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4148148148148148, "acc_stderr": 0.042561937679014075, "acc_norm": 0.4148148148148148, "acc_norm_stderr": 0.042561937679014075 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.375, "acc_stderr": 0.039397364351956274, "acc_norm": 0.375, "acc_norm_stderr": 0.039397364351956274 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.35, "acc_stderr": 0.04793724854411019, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.43018867924528303, "acc_stderr": 0.030471445867183238, "acc_norm": 0.43018867924528303, "acc_norm_stderr": 0.030471445867183238 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4236111111111111, "acc_stderr": 0.04132125019723369, "acc_norm": 0.4236111111111111, "acc_norm_stderr": 0.04132125019723369 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3699421965317919, "acc_stderr": 0.036812296333943194, "acc_norm": 0.3699421965317919, "acc_norm_stderr": 0.036812296333943194 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3829787234042553, "acc_stderr": 0.031778212502369216, "acc_norm": 0.3829787234042553, "acc_norm_stderr": 0.031778212502369216 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.04096985139843672, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.04096985139843672 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.43448275862068964, "acc_stderr": 0.04130740879555497, "acc_norm": 0.43448275862068964, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.291005291005291, "acc_stderr": 0.02339382650048487, "acc_norm": 0.291005291005291, "acc_norm_stderr": 0.02339382650048487 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23015873015873015, "acc_stderr": 0.03764950879790606, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.03764950879790606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3967741935483871, "acc_stderr": 0.027831231605767955, "acc_norm": 0.3967741935483871, "acc_norm_stderr": 0.027831231605767955 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.033864057460620905, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.033864057460620905 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.4, "acc_stderr": 0.03825460278380026, "acc_norm": 0.4, "acc_norm_stderr": 0.03825460278380026 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.4292929292929293, "acc_stderr": 0.035265527246011986, "acc_norm": 0.4292929292929293, "acc_norm_stderr": 0.035265527246011986 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5025906735751295, "acc_stderr": 0.03608390745384488, "acc_norm": 0.5025906735751295, "acc_norm_stderr": 0.03608390745384488 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.33589743589743587, "acc_stderr": 0.02394672474156398, "acc_norm": 0.33589743589743587, "acc_norm_stderr": 0.02394672474156398 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444, "acc_stderr": 0.02620276653465215, "acc_norm": 0.24444444444444444, "acc_norm_stderr": 0.02620276653465215 }, "harness|hendrycks