open-llm-leaderboard-old/details_TheBloke__Chinese-Alpaca-33B-SuperHOT-8K-fp16

该数据集是在模型TheBloke/Chinese-Alpaca-33B-SuperHOT-8K-fp16在Open LLM Leaderboard上的评估运行期间自动创建的。它由61个配置组成，每个配置对应一个被评估的任务。数据集是从1次运行中创建的，每次运行作为每个配置中的一个特定分割，使用运行的时间戳命名。train分割始终指向最新的结果。一个额外的配置results存储了运行的所有聚合结果，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

该数据集是在评估模型 TheBloke/Chinese-Alpaca-33B-SuperHOT-8K-fp16 在 Open LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

• 数据集包含 61 个配置，每个配置对应一个评估任务。
• 数据集由 1 次运行创建，每次运行的详细结果存储在特定的分割中，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 一个额外的 "results" 配置存储所有运行的聚合结果，用于计算并在 Open LLM Leaderboard 上显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_TheBloke__Chinese-Alpaca-33B-SuperHOT-8K-fp16", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-07-31T19:21:09.032023 运行的最新结果：

python { "all": { "acc": 0.24079112101610886, "acc_stderr": 0.030961801782247226, "acc_norm": 0.24208994950215265, "acc_norm_stderr": 0.03097894827141845, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931588, "mc2": 0.4774590793334822, "mc2_stderr": 0.01691343346185639 }, "harness|arc:challenge|25": { "acc": 0.2175767918088737, "acc_stderr": 0.0120572620209725, "acc_norm": 0.26791808873720135, "acc_norm_stderr": 0.012942030195136426 }, "harness|hellaswag|10": { "acc": 0.26926906990639315, "acc_stderr": 0.004426734718808876, "acc_norm": 0.29555865365465045, "acc_norm_stderr": 0.004553609405747228 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2222222222222222, "acc_stderr": 0.035914440841969694, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.035914440841969694 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2188679245283019, "acc_stderr": 0.025447863825108608, "acc_norm": 0.2188679245283019, "acc_norm_stderr": 0.025447863825108608 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.15, "acc_stderr": 0.03588702812826372, "acc_norm": 0.15, "acc_norm_stderr": 0.03588702812826372 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749874, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749874 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.0414243971948936, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.0414243971948936 }, "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": 0.2275132275132275, "acc_stderr": 0.021591269407823778, "acc_norm": 0.2275132275132275, "acc_norm_stderr": 0.021591269407823778 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2222222222222222, "acc_stderr": 0.037184890068181146, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.037184890068181146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.25161290322580643, "acc_stderr": 0.02468597928623997, "acc_norm": 0.25161290322580643, "acc_norm_stderr": 0.02468597928623997 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.029896114291733552, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.029896114291733552 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2727272727272727, "acc_stderr": 0.0347769116216366, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.0347769116216366 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21212121212121213, "acc_stderr": 0.029126522834586804, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.029126522834586804 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21761658031088082, "acc_stderr": 0.02977866303775296, "acc_norm": 0.21761658031088082, "acc_norm_stderr": 0.02977866303775296 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2128205128205128, "acc_stderr": 0.020752423722128013, "acc_norm": 0.2128205128205128, "acc_norm_stderr": 0.020752423722128013 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666,