open-llm-leaderboard-old/details_lemon-mint__gemma-2b-translation-v0.103

该数据集是在模型 lemon-mint/gemma-2b-translation-v0.103 在 Open LLM Leaderboard 上的评估运行期间自动创建的。它由 63 个配置组成，每个配置对应一个评估任务。数据集来自 1 次运行，每次运行在每个配置中表示为特定的拆分，使用运行的时间戳命名。train 拆分始终指向最新结果。一个名为 results 的额外配置存储了运行的所有聚合结果，用于计算和显示 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lemon-mint/gemma-2b-translation-v0.103进行评估运行时自动创建的，评估结果展示在Open LLM Leaderboard上。

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_lemon-mint__gemma-2b-translation-v0.103", "harness_winogrande_5", split="train")

最新结果

以下是2024-04-19T14:02:50.961538运行的最新结果：

python { "all": { "acc": 0.3622717438282088, "acc_stderr": 0.033707743707386405, "acc_norm": 0.3649851544730302, "acc_norm_stderr": 0.034473805698559526, "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123897, "mc2": 0.3556501152235164, "mc2_stderr": 0.013613319206041564 }, "harness|arc:challenge|25": { "acc": 0.44368600682593856, "acc_stderr": 0.014518421825670449, "acc_norm": 0.4513651877133106, "acc_norm_stderr": 0.014542104569955265 }, "harness|hellaswag|10": { "acc": 0.5055765783708425, "acc_stderr": 0.004989471055090957, "acc_norm": 0.6868153754232225, "acc_norm_stderr": 0.004628409084218764 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4074074074074074, "acc_stderr": 0.042446332383532265, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.042446332383532265 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3684210526315789, "acc_stderr": 0.03925523381052932, "acc_norm": 0.3684210526315789, "acc_norm_stderr": 0.03925523381052932 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.35471698113207545, "acc_stderr": 0.02944517532819959, "acc_norm": 0.35471698113207545, "acc_norm_stderr": 0.02944517532819959 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4236111111111111, "acc_stderr": 0.0413212501972337, "acc_norm": 0.4236111111111111, "acc_norm_stderr": 0.0413212501972337 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247077, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3617021276595745, "acc_stderr": 0.03141082197596239, "acc_norm": 0.3617021276595745, "acc_norm_stderr": 0.03141082197596239 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3157894736842105, "acc_stderr": 0.04372748290278007, "acc_norm": 0.3157894736842105, "acc_norm_stderr": 0.04372748290278007 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.42758620689655175, "acc_stderr": 0.041227371113703316, "acc_norm": 0.42758620689655175, "acc_norm_stderr": 0.041227371113703316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633363, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633363 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2698412698412698, "acc_stderr": 0.03970158273235172, "acc_norm": 0.2698412698412698, "acc_norm_stderr": 0.03970158273235172 }, "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": 0.3225806451612903, "acc_stderr": 0.026593084516572267, "acc_norm": 0.3225806451612903, "acc_norm_stderr": 0.026593084516572267 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2413793103448276, "acc_stderr": 0.030108330718011625, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.030108330718011625 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3939393939393939, "acc_stderr": 0.0381549430868893, "acc_norm": 0.3939393939393939, "acc_norm_stderr": 0.0381549430868893 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3888888888888889, "acc_stderr": 0.0347327959083696, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.0347327959083696 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.40932642487046633, "acc_stderr": 0.03548608168860806, "acc_norm": 0.40932642487046633, "acc_norm_stderr": 0.03548608168860806 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2923076923076923, "acc_stderr": 0.02306043838085774, "acc_norm": 0.2923076923076923, "acc_norm_stderr": 0.02306043838085774 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24074074074074073, "acc_stderr": 0.026067159222275794, "acc_norm": 0.24074074074074073, "acc_norm_stderr": 0.02606715