open-llm-leaderboard-old/details_vicgalleorg__TruthfulQwen1.5-1.8B

该数据集是在评估模型vicgalleorg/TruthfulQwen1.5-1.8B时自动创建的，主要用于在Open LLM Leaderboard上展示评估结果。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，results配置存储了所有运行的聚合结果，用于计算和展示在Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集简介

该数据集是在对模型 vicgalleorg/TruthfulQwen1.5-1.8B 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

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_vicgalleorg__TruthfulQwen1.5-1.8B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-04T13:58:06.789352 运行 的最新结果：

python { "all": { "acc": 0.4680075333485934, "acc_stderr": 0.03457829883276736, "acc_norm": 0.4708825754058936, "acc_norm_stderr": 0.03529767780244664, "mc1": 0.2766217870257038, "mc1_stderr": 0.015659605755326923, "mc2": 0.4058019851571796, "mc2_stderr": 0.014539846563223038 }, "harness|arc:challenge|25": { "acc": 0.36006825938566556, "acc_stderr": 0.014027516814585184, "acc_norm": 0.3873720136518771, "acc_norm_stderr": 0.014235872487909872 }, "harness|hellaswag|10": { "acc": 0.4622585142401912, "acc_stderr": 0.00497554601895068, "acc_norm": 0.6135232025492929, "acc_norm_stderr": 0.004859467984155279 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.47368421052631576, "acc_stderr": 0.04063302731486671, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04063302731486671 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5358490566037736, "acc_stderr": 0.030693675018458006, "acc_norm": 0.5358490566037736, "acc_norm_stderr": 0.030693675018458006 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4236111111111111, "acc_stderr": 0.041321250197233685, "acc_norm": 0.4236111111111111, "acc_norm_stderr": 0.041321250197233685 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4161849710982659, "acc_stderr": 0.03758517775404947, "acc_norm": 0.4161849710982659, "acc_norm_stderr": 0.03758517775404947 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.27450980392156865, "acc_stderr": 0.044405219061793275, "acc_norm": 0.27450980392156865, "acc_norm_stderr": 0.044405219061793275 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4085106382978723, "acc_stderr": 0.03213418026701576, "acc_norm": 0.4085106382978723, "acc_norm_stderr": 0.03213418026701576 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2982456140350877, "acc_stderr": 0.04303684033537314, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.04303684033537314 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4896551724137931, "acc_stderr": 0.041657747757287644, "acc_norm": 0.4896551724137931, "acc_norm_stderr": 0.041657747757287644 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.36243386243386244, "acc_stderr": 0.02475747390275205, "acc_norm": 0.36243386243386244, "acc_norm_stderr": 0.02475747390275205 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.03809523809523812, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.03809523809523812 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5419354838709678, "acc_stderr": 0.028343787250540632, "acc_norm": 0.5419354838709678, "acc_norm_stderr": 0.028343787250540632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.033864057460620905, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.033864057460620905 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6, "acc_stderr": 0.038254602783800246, "acc_norm": 0.6, "acc_norm_stderr": 0.038254602783800246 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5555555555555556, "acc_stderr": 0.035402943770953675, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.035402943770953675 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5647668393782384, "acc_stderr": 0.03578038165008586, "acc_norm": 0.5647668393782384, "acc_norm_stderr": 0.03578038165008586 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4256410256410256, "acc_stderr": 0.02506909438729654, "acc_norm": 0.4256410256410256, "acc_norm_stderr": 0.02506909438729654 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.31851851851851853, "acc_stderr": 0.028406533090608463, "acc_norm": 0.31851851851851853, "acc_norm_stderr