open-llm-leaderboard-old/details_johnsnowlabs__PhigRange-DPO

数据集 Evaluation run of johnsnowlabs/PhigRange-DPO 是在模型 johnsnowlabs/PhigRange-DPO 在 Open LLM Leaderboard 上的评估运行过程中自动生成的。该数据集由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，运行的时间戳作为分割的名称。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，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

该数据集是在评估模型johnsnowlabs/PhigRange-DPO在Open LLM Leaderboard上的运行过程中自动创建的。数据集包含63个配置，每个配置对应一个评估任务。

数据集结构

数据集由1次运行创建，每个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。

额外配置

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。

加载数据示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_johnsnowlabs__PhigRange-DPO", "harness_winogrande_5", split="train")

最新结果

以下是2024-04-09T23:26:36.639397运行的最新结果：

python { "all": { "acc": 0.25440582121622896, "acc_stderr": 0.030864421919777126, "acc_norm": 0.2552550665065153, "acc_norm_stderr": 0.03168576752429294, "mc1": 0.22888616891064872, "mc1_stderr": 0.014706994909055027, "mc2": 0.4797537392660647, "mc2_stderr": 0.016660324054891092 }, "harness|arc:challenge|25": { "acc": 0.2150170648464164, "acc_stderr": 0.012005717634133611, "acc_norm": 0.257679180887372, "acc_norm_stderr": 0.012780770562768422 }, "harness|hellaswag|10": { "acc": 0.25562636924915355, "acc_stderr": 0.004353212146198441, "acc_norm": 0.2570205138418642, "acc_norm_stderr": 0.004360977256058753 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.32592592592592595, "acc_stderr": 0.040491220417025055, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.040491220417025055 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.34210526315789475, "acc_stderr": 0.03860731599316091, "acc_norm": 0.34210526315789475, "acc_norm_stderr": 0.03860731599316091 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.22264150943396227, "acc_stderr": 0.02560423347089909, "acc_norm": 0.22264150943396227, "acc_norm_stderr": 0.02560423347089909 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2361111111111111, "acc_stderr": 0.03551446610810826, "acc_norm": 0.2361111111111111, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788991, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788991 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207763, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207763 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.16170212765957448, "acc_stderr": 0.024068505289695313, "acc_norm": 0.16170212765957448, "acc_norm_stderr": 0.024068505289695313 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.17543859649122806, "acc_stderr": 0.0357795481394837, "acc_norm": 0.17543859649122806, "acc_norm_stderr": 0.0357795481394837 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.32413793103448274, "acc_stderr": 0.03900432069185555, "acc_norm": 0.32413793103448274, "acc_norm_stderr": 0.03900432069185555 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.29365079365079366, "acc_stderr": 0.02345603738398203, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.02345603738398203 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.03893259610604674, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.03893259610604674 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2870967741935484, "acc_stderr": 0.025736542745594525, "acc_norm": 0.2870967741935484, "acc_norm_stderr": 0.025736542745594525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2660098522167488, "acc_stderr": 0.03108982600293752, "acc_norm": 0.2660098522167488, "acc_norm_stderr": 0.03108982600293752 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03453131801885415, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03453131801885415 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.30808080808080807, "acc_stderr": 0.032894773300986155, "acc_norm": 0.30808080808080807, "acc_norm_stderr": 0.032894773300986155 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.29533678756476683, "acc_stderr": 0.032922966391551386, "acc_norm": 0.29533678756476683, "acc_norm_stderr": 0.032922966391551386 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.28974358974358977, "acc_stderr": 0.023000628243687964, "acc_norm": 0.28974358974358977, "acc_norm_stderr": 0.023000628243687964 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.27037037037037037, "acc_stderr": 0.027080372815145668, "acc_norm": 0.27037037037037037, "acc_norm_stderr":