open-llm-leaderboard-old/details_saurav1199__adisesha-phi1.5-7-3-15000

该数据集是在模型saurav1199/adisesha-phi1.5-7-3-15000在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。它由1次运行创建，每次运行作为每个配置中的一个特定拆分，使用运行的时间戳命名。train拆分始终指向最新结果。一个额外的配置results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。README还提供了如何使用Python代码加载运行中的详细信息的示例，并列出了特定运行的最新结果。

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 saurav1199/adisesha-phi1.5-7-3-15000 进行评估运行期间自动创建的，评估结果展示在 Open LLM Leaderboard 上。

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在于每个配置中，分割名称使用运行的时间戳。
• 训练分割："train" 分割总是指向最新的结果。
• 结果配置：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_saurav1199__adisesha-phi1.5-7-3-15000", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-20T10:46:08.581359 运行的最新结果：

python { "all": { "acc": 0.35248743654530273, "acc_stderr": 0.03359493436383791, "acc_norm": 0.3562943595504303, "acc_norm_stderr": 0.03451129202379711, "mc1": 0.24112607099143207, "mc1_stderr": 0.014974827279752329, "mc2": 0.39145482107237745, "mc2_stderr": 0.014923052368573967 }, "harness|arc:challenge|25": { "acc": 0.3609215017064846, "acc_stderr": 0.014034761386175458, "acc_norm": 0.40017064846416384, "acc_norm_stderr": 0.01431719778780918 }, "harness|hellaswag|10": { "acc": 0.4008165704043019, "acc_stderr": 0.004890623693243622, "acc_norm": 0.519717187811193, "acc_norm_stderr": 0.004985900172317702 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.35555555555555557, "acc_stderr": 0.04135176749720386, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.04135176749720386 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.27631578947368424, "acc_stderr": 0.03639057569952925, "acc_norm": 0.27631578947368424, "acc_norm_stderr": 0.03639057569952925 }, "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": 0.3320754716981132, "acc_stderr": 0.02898545565233439, "acc_norm": 0.3320754716981132, "acc_norm_stderr": 0.02898545565233439 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2847222222222222, "acc_stderr": 0.03773809990686934, "acc_norm": 0.2847222222222222, "acc_norm_stderr": 0.03773809990686934 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.28901734104046245, "acc_stderr": 0.034564257450869995, "acc_norm": 0.28901734104046245, "acc_norm_stderr": 0.034564257450869995 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.04336432707993177, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.04336432707993177 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2936170212765957, "acc_stderr": 0.029771642712491227, "acc_norm": 0.2936170212765957, "acc_norm_stderr": 0.029771642712491227 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.038351539543994194, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.038351539543994194 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.31724137931034485, "acc_stderr": 0.03878352372138622, "acc_norm": 0.31724137931034485, "acc_norm_stderr": 0.03878352372138622 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525208, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525208 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.040406101782088394, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.040406101782088394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4, "acc_stderr": 0.027869320571664632, "acc_norm": 0.4, "acc_norm_stderr": 0.027869320571664632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3251231527093596, "acc_stderr": 0.032957975663112704, "acc_norm": 0.3251231527093596, "acc_norm_stderr": 0.032957975663112704 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.41818181818181815, "acc_stderr": 0.03851716319398394, "acc_norm": 0.41818181818181815, "acc_norm_stderr": 0.03851716319398394 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.41414141414141414, "acc_stderr": 0.035094383488796295, "acc_norm": 0.41414141414141414, "acc_norm_stderr": 0.035094383488796295 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.40414507772020725, "acc_stderr": 0.03541508578884019, "acc_norm": 0.40414507772020725, "acc_norm_stderr": 0.03541508578884019 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.33076923076923076, "acc_stderr": 0.023854795680971125, "acc_norm": 0.33076923076923076, "acc_norm_stderr": 0.023854795680971125 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444