open-llm-leaderboard-old/details_xaviviro__FLOR-1.3B-xat

该数据集是在Open LLM Leaderboard上对模型xaviviro/FLOR-1.3B-xat进行评估时自动创建的。它由63个配置组成，每个配置对应一个评估任务。数据集来自1次运行，每次运行在每个配置中表示为特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。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。可以使用提供的Python代码片段加载数据集。

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型 xaviviro/FLOR-1.3B-xat 在 Open LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

• 该数据集包含 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。
• 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_xaviviro__FLOR-1.3B-xat", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-07T21:25:58.106311 运行的最新结果：

python { "all": { "acc": 0.2672510124783361, "acc_stderr": 0.031212215858179283, "acc_norm": 0.26904827694943856, "acc_norm_stderr": 0.03200707616382038, "mc1": 0.27539779681762544, "mc1_stderr": 0.01563813566777552, "mc2": 0.44375566520951115, "mc2_stderr": 0.014968548556287192 }, "harness|arc:challenge|25": { "acc": 0.22696245733788395, "acc_stderr": 0.012240491536132865, "acc_norm": 0.26791808873720135, "acc_norm_stderr": 0.01294203019513643 }, "harness|hellaswag|10": { "acc": 0.3437562238597889, "acc_stderr": 0.004739902411944556, "acc_norm": 0.4162517426807409, "acc_norm_stderr": 0.004919289113027516 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2, "acc_stderr": 0.03455473702325436, "acc_norm": 0.2, "acc_norm_stderr": 0.03455473702325436 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3026315789473684, "acc_stderr": 0.03738520676119667, "acc_norm": 0.3026315789473684, "acc_norm_stderr": 0.03738520676119667 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847415, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847415 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.28679245283018867, "acc_stderr": 0.02783491252754409, "acc_norm": 0.28679245283018867, "acc_norm_stderr": 0.02783491252754409 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2847222222222222, "acc_stderr": 0.03773809990686936, "acc_norm": 0.2847222222222222, "acc_norm_stderr": 0.03773809990686936 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.19, "acc_stderr": 0.03942772444036623, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "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": 0.27167630057803466, "acc_stderr": 0.03391750322321659, "acc_norm": 0.27167630057803466, "acc_norm_stderr": 0.03391750322321659 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.2, "acc_stderr": 0.04020151261036843, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036843 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.22127659574468084, "acc_stderr": 0.027136349602424052, "acc_norm": 0.22127659574468084, "acc_norm_stderr": 0.027136349602424052 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.040493392977481404, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.040493392977481404 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525214, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525214 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.040406101782088394, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.040406101782088394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.26129032258064516, "acc_stderr": 0.024993053397764822, "acc_norm": 0.26129032258064516, "acc_norm_stderr": 0.024993053397764822 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3103448275862069, "acc_stderr": 0.032550867699701024, "acc_norm": 0.3103448275862069, "acc_norm_stderr": 0.032550867699701024 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.22424242424242424, "acc_stderr": 0.032568666616811015, "acc_norm": 0.22424242424242424, "acc_norm_stderr": 0.032568666616811015 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.35353535353535354, "acc_stderr": 0.03406086723547153, "acc_norm": 0.35353535353535354, "acc_norm_stderr": 0.03406086723547153 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.36787564766839376, "acc_stderr": 0.03480175668466036, "acc_norm": 0.36787564766839376, "acc_norm_stderr": 0.03480175668466036 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3641025641025641, "acc_stderr": 0.02439667298509477, "acc_norm": 0.3641025641025641, "acc_norm_stderr": 0.02439667298509477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.026962424325073835, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02