open-llm-leaderboard-old/details_AdaptLLM__finance-chat

该数据集是在模型AdaptLLM/finance-chat的评估运行期间自动创建的，用于Open LLM Leaderboard的评估。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，分割名称使用运行的时间戳。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 AdaptLLM/finance-chat 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。
• 数据集由 1 次运行创建，每次运行的详细结果存储在特定的分割中，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 额外的 "results" 配置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_AdaptLLM__finance-chat", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-05T00:13:46.868987 运行的最新结果：

python { "all": { "acc": 0.5016996143762756, "acc_stderr": 0.03410321754614329, "acc_norm": 0.5066977999367995, "acc_norm_stderr": 0.03485965585821547, "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713623, "mc2": 0.4454115477276852, "mc2_stderr": 0.014823664766519598 }, "harness|arc:challenge|25": { "acc": 0.49829351535836175, "acc_stderr": 0.014611305705056995, "acc_norm": 0.537542662116041, "acc_norm_stderr": 0.014570144495075581 }, "harness|hellaswag|10": { "acc": 0.5688109938259311, "acc_stderr": 0.004942302768002104, "acc_norm": 0.765982871937861, "acc_norm_stderr": 0.004225176623741732 }, "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": 0.5263157894736842, "acc_stderr": 0.040633027314866704, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.040633027314866704 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5320754716981132, "acc_stderr": 0.030709486992556552, "acc_norm": 0.5320754716981132, "acc_norm_stderr": 0.030709486992556552 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5416666666666666, "acc_stderr": 0.04166666666666666, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.04166666666666666 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "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": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4508670520231214, "acc_stderr": 0.03794012674697029, "acc_norm": 0.4508670520231214, "acc_norm_stderr": 0.03794012674697029 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.14705882352941177, "acc_stderr": 0.035240689515674495, "acc_norm": 0.14705882352941177, "acc_norm_stderr": 0.035240689515674495 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4425531914893617, "acc_stderr": 0.03246956919789958, "acc_norm": 0.4425531914893617, "acc_norm_stderr": 0.03246956919789958 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.47586206896551725, "acc_stderr": 0.041618085035015295, "acc_norm": 0.47586206896551725, "acc_norm_stderr": 0.041618085035015295 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.31746031746031744, "acc_stderr": 0.02397386199899207, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.02397386199899207 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.04104947269903394, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.04104947269903394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5225806451612903, "acc_stderr": 0.02841498501970786, "acc_norm": 0.5225806451612903, "acc_norm_stderr": 0.02841498501970786 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.33497536945812806, "acc_stderr": 0.033208527423483104, "acc_norm": 0.33497536945812806, "acc_norm_stderr": 0.033208527423483104 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6909090909090909, "acc_stderr": 0.036085410115739666, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.036085410115739666 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6868686868686869, "acc_stderr": 0.033042050878136525, "acc_norm": 0.6868686868686869, "acc_norm_stderr": 0.033042050878136525 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7461139896373057, "acc_stderr": 0.0314102478056532, "acc_norm": 0.7461139896373057, "acc_norm_stderr": 0.0314102478056532 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.44871794871794873, "acc_stderr": 0.025217315184846482, "acc_norm": 0.44871794871794873, "acc_norm_stderr": 0.025217315184846482 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.026719240783712166, "acc_norm": 0.25925925925925924, "acc_norm_stderr":