open-llm-leaderboard-old/details_starmpcc__Asclepius-Llama2-7B

该数据集是在Open LLM Leaderboard上对模型starmpcc/Asclepius-Llama2-7B进行评估时自动生成的。数据集包含64个配置，每个配置对应一个评估任务。它包括一次或多次运行的结果，每次运行都可以作为每个配置中的特定分割访问。train分割始终指向最新结果。此外，还有一个results配置，用于汇总所有运行结果，这些结果用于计算和显示Open LLM Leaderboard上的指标。README还提供了一个Python代码片段来加载数据集，并详细说明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

该数据集是在评估模型 starmpcc/Asclepius-Llama2-7B 在 Open LLM Leaderboard 上的自动创建的。

数据集组成

• 数据集包含 64 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_starmpcc__Asclepius-Llama2-7B_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-19T11:08:00.198126 运行的最新结果：

python { "all": { "acc": 0.43616440221247377, "acc_stderr": 0.034450168116826926, "acc_norm": 0.4429356406607476, "acc_norm_stderr": 0.03535922633415619, "mc1": 0.2974296205630355, "mc1_stderr": 0.016002651487361, "mc2": 0.43308620079593113, "mc2_stderr": 0.015567429964446104, "em": 0.030411073825503357, "em_stderr": 0.0017585282619462322, "f1": 0.13804635067114085, "f1_stderr": 0.0023911010858403406 }, "harness|arc:challenge|25": { "acc": 0.47525597269624575, "acc_stderr": 0.01459348769493774, "acc_norm": 0.5085324232081911, "acc_norm_stderr": 0.014609263165632182 }, "harness|hellaswag|10": { "acc": 0.5856403106950807, "acc_stderr": 0.004916043838455664, "acc_norm": 0.7652857996415057, "acc_norm_stderr": 0.004229538929090431 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.35555555555555557, "acc_stderr": 0.04135176749720386, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.04135176749720386 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.32894736842105265, "acc_stderr": 0.038234289699266046, "acc_norm": 0.32894736842105265, "acc_norm_stderr": 0.038234289699266046 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4716981132075472, "acc_stderr": 0.030723535249006107, "acc_norm": 0.4716981132075472, "acc_norm_stderr": 0.030723535249006107 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4305555555555556, "acc_stderr": 0.04140685639111502, "acc_norm": 0.4305555555555556, "acc_norm_stderr": 0.04140685639111502 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.35, "acc_stderr": 0.04793724854411018, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411018 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2947976878612717, "acc_stderr": 0.03476599607516478, "acc_norm": 0.2947976878612717, "acc_norm_stderr": 0.03476599607516478 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.0433643270799318, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.0433643270799318 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3702127659574468, "acc_stderr": 0.03156564682236786, "acc_norm": 0.3702127659574468, "acc_norm_stderr": 0.03156564682236786 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.46206896551724136, "acc_stderr": 0.041546596717075474, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.0236369759961018, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.0236369759961018 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303317, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303317 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4645161290322581, "acc_stderr": 0.028372287797962956, "acc_norm": 0.4645161290322581, "acc_norm_stderr": 0.028372287797962956 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3054187192118227, "acc_stderr": 0.03240661565868408, "acc_norm": 0.3054187192118227, "acc_norm_stderr": 0.03240661565868408 }, "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": 0.5878787878787879, "acc_stderr": 0.038435669935887165, "acc_norm": 0.5878787878787879, "acc_norm_stderr": 0.038435669935887165 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.45454545454545453, "acc_stderr": 0.03547601494006936, "acc_norm": 0.45454545454545453, "acc_norm_stderr": 0.03547601494006936 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5751295336787565, "acc_stderr": 0.035674713352125395, "acc_norm": 0.5751295336787565, "acc_norm_stderr": 0.035674713352125395 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4230769230769231, "acc_stderr": 0.025049197876042338, "acc_norm": 0.4230769230769231, "acc_norm_stderr": 0.025049197876042338 },