open-llm-leaderboard-old/details_DUAL-GPO-2__phi-2-gpo-renew2-b0.001-v2-i1

该数据集是在模型DUAL-GPO-2/phi-2-gpo-renew2-b0.001-v2-i1的评估运行期间自动创建的，包含63个配置，每个配置对应一个评估任务。数据集由一次运行生成，每个运行作为一个特定的分割存储，分割名称基于运行的时间戳。此外，还有一个名为results的配置，用于存储所有运行的聚合结果，并用于计算和显示开放LLM排行榜上的聚合指标。

原始信息汇总

数据集概述

数据集创建

• 创建背景：该数据集是在模型 DUAL-GPO-2/phi-2-gpo-renew2-b0.001-v2-i1 在 Open LLM Leaderboard 上的评估运行期间自动创建的。
• 数据集组成：包含 63 个配置，每个配置对应一个评估任务。
• 创建次数：数据集从 1 次运行中创建，每个运行在每个配置中作为一个特定的分片存在，分片名称使用运行的时间戳。"train" 分片始终指向最新的结果。

数据集结构

• 额外配置："results" 配置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_DUAL-GPO-2__phi-2-gpo-renew2-b0.001-v2-i1", "harness_winogrande_5", split="train")

最新结果

• 最新结果来源：这些是最新结果，来自 2024-04-24T19:46:05.861440 的运行。
• 结果示例： python { "all": { "acc": 0.5823781652435251, "acc_stderr": 0.03379527289878854, "acc_norm": 0.58374527381219, "acc_norm_stderr": 0.03448817872232606, "mc1": 0.30966952264381886, "mc1_stderr": 0.016185744355144912, "mc2": 0.4429705139171855, "mc2_stderr": 0.015085480001914326 }, "harness|arc:challenge|25": { "acc": 0.5802047781569966, "acc_stderr": 0.014422181226303028, "acc_norm": 0.6126279863481229, "acc_norm_stderr": 0.014235872487909872 }, "harness|hellaswag|10": { "acc": 0.5635331607249552, "acc_stderr": 0.004949335356881861, "acc_norm": 0.7486556462856004, "acc_norm_stderr": 0.004328995510312591 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464242, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464242 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5921052631578947, "acc_stderr": 0.039993097127774734, "acc_norm": 0.5921052631578947, "acc_norm_stderr": 0.039993097127774734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.59, "acc_stderr": 0.04943110704237101, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237101 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5924528301886792, "acc_stderr": 0.030242233800854494, "acc_norm": 0.5924528301886792, "acc_norm_stderr": 0.030242233800854494 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6597222222222222, "acc_stderr": 0.039621355734862175, "acc_norm": 0.6597222222222222, "acc_norm_stderr": 0.039621355734862175 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6011560693641619, "acc_stderr": 0.037336266553835096, "acc_norm": 0.6011560693641619, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663434, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663434 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5234042553191489, "acc_stderr": 0.03265019475033581, "acc_norm": 0.5234042553191489, "acc_norm_stderr": 0.03265019475033581 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.38596491228070173, "acc_stderr": 0.04579639422070434, "acc_norm": 0.38596491228070173, "acc_norm_stderr": 0.04579639422070434 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4365079365079365, "acc_stderr": 0.025542846817400492, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.025542846817400492 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.373015873015873, "acc_stderr": 0.04325506042017086, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.04325506042017086 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7, "acc_stderr": 0.02606936229533513, "acc_norm": 0.7, "acc_norm_stderr": 0.02606936229533513 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4827586206896552, "acc_stderr": 0.035158955511656986, "acc_norm": 0.4827586206896552, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6242424242424243, "acc_stderr": 0.037818873532059816, "acc_norm": 0.6242424242424243, "acc_norm_stderr": 0.037818873532059816 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365897, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365897 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8134715025906736, "acc_stderr": 0.02811209121011746, "acc_norm": 0.8134715025906736, "acc_norm_stderr": 0.02811209121011746 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5692307692307692, "acc_stderr": 0.025106820660539753, "acc_norm": 0.5692307692307692, "acc_norm_stderr": 0.025106820660539753 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr":