open-llm-leaderboard-old/details_aloobun__open-llama-3b-v2-elmv3

该数据集是在模型 aloobun/open-llama-3b-v2-elmv3 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 2 次运行创建，每次运行在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。train 分割始终指向最新的结果。一个额外的配置 results 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。文件还提供了一个 Python 代码片段来加载运行的详细信息，并列出了特定运行的最新结果。

原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 aloobun/open-llama-3b-v2-elmv3 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 2 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。
• 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_aloobun__open-llama-3b-v2-elmv3", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-09T18:25:59.224844 运行的最新结果：

python { "all": { "acc": 0.2804692579613333, "acc_stderr": 0.03160774886030324, "acc_norm": 0.28199113779250456, "acc_norm_stderr": 0.0323576565422058, "mc1": 0.22888616891064872, "mc1_stderr": 0.014706994909055027, "mc2": 0.3550624387136162, "mc2_stderr": 0.01364292328900912 }, "harness|arc:challenge|25": { "acc": 0.3873720136518771, "acc_stderr": 0.014235872487909874, "acc_norm": 0.42150170648464164, "acc_norm_stderr": 0.014430197069326023 }, "harness|hellaswag|10": { "acc": 0.551185022903804, "acc_stderr": 0.004963567029129055, "acc_norm": 0.7326229834694284, "acc_norm_stderr": 0.004416861919100999 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3111111111111111, "acc_stderr": 0.03999262876617721, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.03999262876617721 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2894736842105263, "acc_stderr": 0.03690677986137282, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.03690677986137282 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2943396226415094, "acc_stderr": 0.028049186315695248, "acc_norm": 0.2943396226415094, "acc_norm_stderr": 0.028049186315695248 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.24305555555555555, "acc_stderr": 0.0358687928008034, "acc_norm": 0.24305555555555555, "acc_norm_stderr": 0.0358687928008034 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.033450369167889925, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.033450369167889925 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.03793281185307811, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.03793281185307811 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.32340425531914896, "acc_stderr": 0.030579442773610334, "acc_norm": 0.32340425531914896, "acc_norm_stderr": 0.030579442773610334 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.04096985139843673, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.04096985139843673 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.21379310344827587, "acc_stderr": 0.03416520447747549, "acc_norm": 0.21379310344827587, "acc_norm_stderr": 0.03416520447747549 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2804232804232804, "acc_stderr": 0.023135287974325628, "acc_norm": 0.2804232804232804, "acc_norm_stderr": 0.023135287974325628 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.16666666666666666, "acc_stderr": 0.03333333333333339, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.03333333333333339 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.25483870967741934, "acc_stderr": 0.024790118459332208, "acc_norm": 0.25483870967741934, "acc_norm_stderr": 0.024790118459332208 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.28078817733990147, "acc_stderr": 0.03161856335358611, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.03161856335358611 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.296969696969697, "acc_stderr": 0.03567969772268049, "acc_norm": 0.296969696969697, "acc_norm_stderr": 0.03567969772268049 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.31313131313131315, "acc_stderr": 0.033042050878136525, "acc_norm": 0.31313131313131315, "acc_norm_stderr": 0.033042050878136525 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.030975436386845426, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.030975436386845426 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.28974358974358977, "acc_stderr": 0.02300062824368796, "acc_norm": 0.28974358974358977, "acc_norm_stderr": 0.02300062824368796 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22592592592592592, "acc_stderr": 0.02549753263960955,