open-llm-leaderboard-old/details_llmixer__BigWeave-v16-103b

该数据集是在Open LLM Leaderboard上对模型llmixer/BigWeave-v16-103b进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。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名称。train分割始终指向最新结果。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

数据集简介

该数据集是在对模型 llmixer/BigWeave-v16-103b 进行评估运行时自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 配置数量：63个配置，每个配置对应一个评估任务。
• 运行次数：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。
• 最新结果："train" 分片始终指向最新的结果。
• 聚合结果：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_llmixer__BigWeave-v16-103b", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-10T07:02:03.874032 运行的最新结果：

python { "all": { "acc": 0.7291217373860504, "acc_stderr": 0.029814128118071586, "acc_norm": 0.7334267277522604, "acc_norm_stderr": 0.030381307938227346, "mc1": 0.4785801713586291, "mc1_stderr": 0.017487432144711806, "mc2": 0.6380949314219707, "mc2_stderr": 0.015121732490251848 }, "harness|arc:challenge|25": { "acc": 0.6237201365187713, "acc_stderr": 0.014157022555407156, "acc_norm": 0.658703071672355, "acc_norm_stderr": 0.01385583128749773 }, "harness|hellaswag|10": { "acc": 0.6992630950009958, "acc_stderr": 0.0045764127139515, "acc_norm": 0.8761202947619996, "acc_norm_stderr": 0.003287709741128796 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8552631578947368, "acc_stderr": 0.028631951845930405, "acc_norm": 0.8552631578947368, "acc_norm_stderr": 0.028631951845930405 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7584905660377359, "acc_stderr": 0.026341480371118352, "acc_norm": 0.7584905660377359, "acc_norm_stderr": 0.026341480371118352 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8819444444444444, "acc_stderr": 0.026983346503309358, "acc_norm": 0.8819444444444444, "acc_norm_stderr": 0.026983346503309358 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.67, "acc_stderr": 0.047258156262526066, "acc_norm": 0.67, "acc_norm_stderr": 0.047258156262526066 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7283236994219653, "acc_stderr": 0.03391750322321657, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.03391750322321657 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.49019607843137253, "acc_stderr": 0.04974229460422817, "acc_norm": 0.49019607843137253, "acc_norm_stderr": 0.04974229460422817 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7276595744680852, "acc_stderr": 0.0291012906983867, "acc_norm": 0.7276595744680852, "acc_norm_stderr": 0.0291012906983867 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.6228070175438597, "acc_stderr": 0.04559522141958216, "acc_norm": 0.6228070175438597, "acc_norm_stderr": 0.04559522141958216 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7034482758620689, "acc_stderr": 0.03806142687309993, "acc_norm": 0.7034482758620689, "acc_norm_stderr": 0.03806142687309993 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5608465608465608, "acc_stderr": 0.025559920550531013, "acc_norm": 0.5608465608465608, "acc_norm_stderr": 0.025559920550531013 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5158730158730159, "acc_stderr": 0.044698818540726076, "acc_norm": 0.5158730158730159, "acc_norm_stderr": 0.044698818540726076 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8225806451612904, "acc_stderr": 0.02173254068932928, "acc_norm": 0.8225806451612904, "acc_norm_stderr": 0.02173254068932928 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6157635467980296, "acc_stderr": 0.034223985656575515, "acc_norm": 0.6157635467980296, "acc_norm_stderr": 0.034223985656575515 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.77, "acc_stderr": 0.042295258468165044, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8606060606060606, "acc_stderr": 0.027045948825865383, "acc_norm": 0.8606060606060606, "acc_norm_stderr": 0.027045948825865383 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9090909090909091, "acc_stderr": 0.020482086775424208, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.020482086775424208 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9222797927461139, "acc_stderr": 0.01932180555722317, "acc_norm": 0.9222797927461139, "acc_norm_stderr": 0.01932180555722317 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7615384615384615, "acc_stderr": 0.02160629449464773, "acc_norm": 0.7615384615384615, "acc_norm_stderr": 0.02160629449464773 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4222222222222222, "acc_stderr": 0.03011444201966809, "acc_norm": 0.