open-llm-leaderboard/details_YeungNLP__firefly-llama2-7b-chat-temp

该数据集是在模型YeungNLP/firefly-llama2-7b-chat-temp的评估运行中自动创建的。数据集由61个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行都可以在特定配置中找到，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，并用于计算和显示在Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集摘要

该数据集是在模型 YeungNLP/firefly-llama2-7b-chat-temp 的评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集由61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。
• 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_YeungNLP__firefly-llama2-7b-chat-temp", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 最新结果来自2023-09-22T03:37:32.448737 的摘要：

python { "all": { "acc": 0.45675748784133063, "acc_stderr": 0.03523878979242221, "acc_norm": 0.46039529518457817, "acc_norm_stderr": 0.03522948379579862, "mc1": 0.31456548347613217, "mc1_stderr": 0.016255241993179178, "mc2": 0.46775413014717326, "mc2_stderr": 0.015305512973889742 }, "harness|arc:challenge|25": { "acc": 0.48293515358361777, "acc_stderr": 0.0146028783885366, "acc_norm": 0.5119453924914675, "acc_norm_stderr": 0.014607220340597167 }, "harness|hellaswag|10": { "acc": 0.5476000796654052, "acc_stderr": 0.004967118575905287, "acc_norm": 0.7332204740091616, "acc_norm_stderr": 0.004413722823053159 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480864, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4144736842105263, "acc_stderr": 0.04008973785779206, "acc_norm": 0.4144736842105263, "acc_norm_stderr": 0.04008973785779206 }, "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": 0.5056603773584906, "acc_stderr": 0.03077090076385131, "acc_norm": 0.5056603773584906, "acc_norm_stderr": 0.03077090076385131 }, "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": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3988439306358382, "acc_stderr": 0.037336266553835096, "acc_norm": 0.3988439306358382, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.1568627450980392, "acc_stderr": 0.036186648199362466, "acc_norm": 0.1568627450980392, "acc_norm_stderr": 0.036186648199362466 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.61, "acc_stderr": 0.04902071300001974, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3829787234042553, "acc_stderr": 0.03177821250236922, "acc_norm": 0.3829787234042553, "acc_norm_stderr": 0.03177821250236922 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512322004, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512322004 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4206896551724138, "acc_stderr": 0.0411391498118926, "acc_norm": 0.4206896551724138, "acc_norm_stderr": 0.0411391498118926 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02256989707491841, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02256989707491841 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04040610178208841, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04040610178208841 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4774193548387097, "acc_stderr": 0.028414985019707868, "acc_norm": 0.4774193548387097, "acc_norm_stderr": 0.028414985019707868 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.30049261083743845, "acc_stderr": 0.03225799476233484, "acc_norm": 0.30049261083743845, "acc_norm_stderr": 0.03225799476233484 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5515151515151515, "acc_stderr": 0.03883565977956929, "acc_norm": 0.5515151515151515, "acc_norm_stderr": 0.03883565977956929 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5656565656565656, "acc_stderr": 0.03531505879359183, "acc_norm": 0.5656565656565656, "acc_norm_stderr": 0.03531505879359183 }, "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": 0.4128205128205128, "acc_stderr": 0.024962683564331803, "acc_norm": 0.4128205128205128, "acc_norm_stderr": 0.024962683564331803 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2851851851851852, "acc_stderr": 0.027528599210340492, "acc_norm": 0.