open-llm-leaderboard-old/details_Sharathhebbar24__Med_GPT2

该数据集是在模型Sharathhebbar24/Med_GPT2的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。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中找到特定的分割，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，results配置存储了所有运行的聚合结果，并用于计算和显示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 Sharathhebbar24/Med_GPT2 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拆分，拆分名称使用运行的时间戳。
• "train" 拆分始终指向最新的结果。
• 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 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_Sharathhebbar24__Med_GPT2", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-02T16:52:19.552836 运行的最新结果：

python { "all": { "acc": 0.24043940952705942, "acc_stderr": 0.030117491673403593, "acc_norm": 0.24108796756918996, "acc_norm_stderr": 0.030869772797897203, "mc1": 0.23745410036719705, "mc1_stderr": 0.014896277441041843, "mc2": 0.3895253694669724, "mc2_stderr": 0.014938286995541047 }, "harness|arc:challenge|25": { "acc": 0.1885665529010239, "acc_stderr": 0.011430897647675816, "acc_norm": 0.23378839590443687, "acc_norm_stderr": 0.012368225378507128 }, "harness|hellaswag|10": { "acc": 0.2898824935271858, "acc_stderr": 0.004527804016253779, "acc_norm": 0.30989842660824535, "acc_norm_stderr": 0.004615063817741858 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3111111111111111, "acc_stderr": 0.03999262876617722, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.03999262876617722 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.18867924528301888, "acc_stderr": 0.02407999513006224, "acc_norm": 0.18867924528301888, "acc_norm_stderr": 0.02407999513006224 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23121387283236994, "acc_stderr": 0.0321473730202947, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.0321473730202947 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.2, "acc_stderr": 0.04020151261036843, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036843 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25396825396825395, "acc_stderr": 0.022418042891113942, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.022418042891113942 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.12698412698412698, "acc_stderr": 0.029780417522688438, "acc_norm": 0.12698412698412698, "acc_norm_stderr": 0.029780417522688438 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.14, "acc_stderr": 0.0348735088019777, "acc_norm": 0.14, "acc_norm_stderr": 0.0348735088019777 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24516129032258063, "acc_stderr": 0.024472243840895525, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.024472243840895525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2315270935960591, "acc_stderr": 0.029678333141444455, "acc_norm": 0.2315270935960591, "acc_norm_stderr": 0.029678333141444455 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2787878787878788, "acc_stderr": 0.03501438706296781, "acc_norm": 0.2787878787878788, "acc_norm_stderr": 0.03501438706296781 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.23737373737373738, "acc_stderr": 0.0303137105381989, "acc_norm": 0.23737373737373738, "acc_norm_stderr": 0.0303137105381989 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.2694300518134715, "acc_stderr": 0.03201867122877793, "acc_norm": 0.2694300518134715, "acc_norm_stderr": 0.03201867122877793 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.21794871794871795, "acc_stderr": 0.020932445774463196, "acc_norm": 0.21794871794871795, "acc_norm_stderr": 0.020932445774463196 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2074074074074074, "acc_stderr": 0.024720713193952144, "acc_norm": 0.2074074074074074,