open-llm-leaderboard-old/details_KnutJaegersberg__Qwen-1_8B-Llamafied

该数据集是在Open LLM Leaderboard上对模型KnutJaegersberg/Qwen-1_8B-Llamafied进行评估时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果作为一个特定的分割存储在配置中，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，一个名为results的配置存储了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。

原始信息汇总

数据集概述

数据集来源

该数据集是在对模型 KnutJaegersberg/Qwen-1_8B-Llamafied 进行评估运行时自动创建的，评估结果发布在 Open LLM Leaderboard 上。

数据集结构

• 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 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 "results" 配置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_KnutJaegersberg__Qwen-1_8B-Llamafied", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-04T14:29:46.400920 运行的最新结果：

python { "all": { "acc": 0.46036469687606746, "acc_stderr": 0.03481465754956138, "acc_norm": 0.4643902964835488, "acc_norm_stderr": 0.03556658647639108, "mc1": 0.23745410036719705, "mc1_stderr": 0.014896277441041836, "mc2": 0.39408163994148815, "mc2_stderr": 0.014247164817369498 }, "harness|arc:challenge|25": { "acc": 0.3447098976109215, "acc_stderr": 0.01388881628678211, "acc_norm": 0.3771331058020478, "acc_norm_stderr": 0.01416336689619259 }, "harness|hellaswag|10": { "acc": 0.44303923521210914, "acc_stderr": 0.004957296691391577, "acc_norm": 0.5887273451503684, "acc_norm_stderr": 0.004910588449330011 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421296, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421296 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.04284958639753399, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.04284958639753399 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4868421052631579, "acc_stderr": 0.04067533136309173, "acc_norm": 0.4868421052631579, "acc_norm_stderr": 0.04067533136309173 }, "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": 0.5283018867924528, "acc_stderr": 0.030723535249006107, "acc_norm": 0.5283018867924528, "acc_norm_stderr": 0.030723535249006107 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4166666666666667, "acc_stderr": 0.041227287076512825, "acc_norm": 0.4166666666666667, "acc_norm_stderr": 0.041227287076512825 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.45664739884393063, "acc_stderr": 0.037981065660144996, "acc_norm": 0.45664739884393063, "acc_norm_stderr": 0.037981065660144996 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3235294117647059, "acc_stderr": 0.046550104113196177, "acc_norm": 0.3235294117647059, "acc_norm_stderr": 0.046550104113196177 }, "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": 0.39574468085106385, "acc_stderr": 0.031967586978353627, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.031967586978353627 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.34210526315789475, "acc_stderr": 0.04462917535336936, "acc_norm": 0.34210526315789475, "acc_norm_stderr": 0.04462917535336936 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.496551724137931, "acc_stderr": 0.041665675771015785, "acc_norm": 0.496551724137931, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.32275132275132273, "acc_stderr": 0.024078943243597016, "acc_norm": 0.32275132275132273, "acc_norm_stderr": 0.024078943243597016 }, "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": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5451612903225806, "acc_stderr": 0.028327743091561063, "acc_norm": 0.5451612903225806, "acc_norm_stderr": 0.028327743091561063 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3891625615763547, "acc_stderr": 0.03430462416103872, "acc_norm": 0.3891625615763547, "acc_norm_stderr": 0.03430462416103872 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.593939393939394, "acc_stderr": 0.03834816355401181, "acc_norm": 0.593939393939394, "acc_norm_stderr": 0.03834816355401181 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5606060606060606, "acc_stderr": 0.035360859475294805, "acc_norm": 0.5606060606060606, "acc_norm_stderr": 0.035360859475294805 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5958549222797928, "acc_stderr": 0.0354150857888402, "acc_norm": 0.5958549222797928, "acc_norm_stderr": 0.0354150857888402 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4282051282051282, "acc_stderr": 0.02508830145469484, "acc_norm": 0.4282051282051282, "acc_norm_stderr": 0.02508830145469484 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3148148148148148, "acc_stderr": 0.02831753349606648