open-llm-leaderboard-old/details_BAAI__Aquila2-34B

该数据集是在Open LLM Leaderboard上对BAAI/Aquila2-34B模型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。数据集由2次运行创建，每次运行在每个配置中表示为特定的分割，train分割始终指向最新结果。此外，一个名为results的配置存储了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。README还提供了如何使用`datasets`库中的`load_dataset`函数加载运行细节的示例。

原始信息汇总

数据集概述

数据集来源

该数据集是在对模型 BAAI/Aquila2-34B 进行评估运行期间自动创建的，评估运行在 Open LLM Leaderboard 上进行。

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：数据集从2次运行中创建。每次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_BAAI__Aquila2-34B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-15T18:37:14.451844 运行 的最新结果：

python { "all": { "acc": 0.7421090841218929, "acc_stderr": 0.028617632191882958, "acc_norm": 0.7572926151712773, "acc_norm_stderr": 0.02933086673337662, "mc1": 0.2802937576499388, "mc1_stderr": 0.015723139524608753, "mc2": 0.40853761852658155, "mc2_stderr": 0.014823421659209666 }, "harness|arc:challenge|25": { "acc": 0.5273037542662116, "acc_stderr": 0.014589589101985994, "acc_norm": 0.5247440273037542, "acc_norm_stderr": 0.01459348769493774 }, "harness|hellaswag|10": { "acc": 0.643397729535949, "acc_stderr": 0.004780169873332854, "acc_norm": 0.8189603664608643, "acc_norm_stderr": 0.0038426408003615128 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.725925925925926, "acc_stderr": 0.03853254836552003, "acc_norm": 0.725925925925926, "acc_norm_stderr": 0.03853254836552003 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7828947368421053, "acc_stderr": 0.033550453048829226, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.033550453048829226 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8, "acc_stderr": 0.024618298195866518, "acc_norm": 0.8, "acc_norm_stderr": 0.024618298195866518 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8402777777777778, "acc_stderr": 0.030635578972093288, "acc_norm": 0.8402777777777778, "acc_norm_stderr": 0.030635578972093288 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7687861271676301, "acc_stderr": 0.03214737302029469, "acc_norm": 0.7687861271676301, "acc_norm_stderr": 0.03214737302029469 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.6176470588235294, "acc_stderr": 0.04835503696107223, "acc_norm": 0.6176470588235294, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.88, "acc_stderr": 0.032659863237109066, "acc_norm": 0.88, "acc_norm_stderr": 0.032659863237109066 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6893617021276596, "acc_stderr": 0.03025123757921317, "acc_norm": 0.6893617021276596, "acc_norm_stderr": 0.03025123757921317 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5614035087719298, "acc_stderr": 0.04668000738510455, "acc_norm": 0.5614035087719298, "acc_norm_stderr": 0.04668000738510455 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6896551724137931, "acc_stderr": 0.03855289616378948, "acc_norm": 0.6896551724137931, "acc_norm_stderr": 0.03855289616378948 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5740740740740741, "acc_stderr": 0.02546714904546955, "acc_norm": 0.5740740740740741, "acc_norm_stderr": 0.02546714904546955 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5079365079365079, "acc_stderr": 0.044715725362943486, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8258064516129032, "acc_stderr": 0.02157624818451457, "acc_norm": 0.8258064516129032, "acc_norm_stderr": 0.02157624818451457 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6600985221674877, "acc_stderr": 0.033327690684107895, "acc_norm": 0.6600985221674877, "acc_norm_stderr": 0.033327690684107895 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.82, "acc_stderr": 0.03861229196653694, "acc_norm": 0.82, "acc_norm_stderr": 0.03861229196653694 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8424242424242424, "acc_stderr": 0.028450388805284332, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.028450388805284332 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.898989898989899, "acc_stderr": 0.021469735576055353, "acc_norm": 0.898989898989899, "acc_norm_stderr": 0.021469735576055353 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8911917098445595, "acc_stderr": 0.022473253332768738, "acc_norm": 0.8911917098445595, "acc_norm_stderr": 0.022473253332768738 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7846153846153846, "acc_stderr": 0.020843034557462878, "acc_norm": 0.7846153846153846, "acc_norm_stderr": 0.020843034557462878 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.5333333333333333, "acc_stderr": 0.030417716961717474, "acc_norm": 0.5333333333333333, "acc_norm_stderr": 0.030417716961