open-llm-leaderboard-old/details_h2oai__h2o-danube2-1.8b-sft

该数据集是在Open LLM Leaderboard上对模型h2oai/h2o-danube2-1.8b-sft进行评估时自动创建的。数据集由63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，每次运行在每个配置中作为一个特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了所有运行的聚合结果，用于计算和显示Open LLM Leaderboard上的聚合指标。README还提供了如何使用Python代码加载运行细节的示例，并包含了特定运行的最新结果。

原始信息汇总

数据集概述

数据集摘要

该数据集是在评估模型h2oai/h2o-danube2-1.8b-sft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作为一个特定的分片找到，分片名称使用运行的时间戳。
• "train"分片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，用于计算和显示在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_h2oai__h2o-danube2-1.8b-sft", "harness_winogrande_5", split="train")

最新结果

以下是2024-04-05T14:51:50.849264运行的最新结果：

python { "all": { "acc": 0.36617017282162645, "acc_stderr": 0.033367232456399415, "acc_norm": 0.36643996058465483, "acc_norm_stderr": 0.03406711943247602, "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359652, "mc2": 0.38704134983515587, "mc2_stderr": 0.014010079480050381 }, "harness|arc:challenge|25": { "acc": 0.39419795221843, "acc_stderr": 0.01428052266746733, "acc_norm": 0.42662116040955633, "acc_norm_stderr": 0.014453185592920293 }, "harness|hellaswag|10": { "acc": 0.5350527783310097, "acc_stderr": 0.004977504446609001, "acc_norm": 0.7275443138816968, "acc_norm_stderr": 0.0044431316326793415 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.042849586397533994, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.042849586397533994 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3026315789473684, "acc_stderr": 0.037385206761196686, "acc_norm": 0.3026315789473684, "acc_norm_stderr": 0.037385206761196686 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4037735849056604, "acc_stderr": 0.03019761160019795, "acc_norm": 0.4037735849056604, "acc_norm_stderr": 0.03019761160019795 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3125, "acc_stderr": 0.038760854559127644, "acc_norm": 0.3125, "acc_norm_stderr": 0.038760854559127644 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2947976878612717, "acc_stderr": 0.03476599607516478, "acc_norm": 0.2947976878612717, "acc_norm_stderr": 0.03476599607516478 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.038739587141493524, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.038739587141493524 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3021276595744681, "acc_stderr": 0.030017554471880557, "acc_norm": 0.3021276595744681, "acc_norm_stderr": 0.030017554471880557 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281335, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281335 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.3310344827586207, "acc_stderr": 0.03921545312467122, "acc_norm": 0.3310344827586207, "acc_norm_stderr": 0.03921545312467122 }, "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": 0.2222222222222222, "acc_stderr": 0.037184890068181146, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.037184890068181146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3903225806451613, "acc_stderr": 0.027751256636969576, "acc_norm": 0.3903225806451613, "acc_norm_stderr": 0.027751256636969576 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22660098522167488, "acc_stderr": 0.029454863835292975, "acc_norm": 0.22660098522167488, "acc_norm_stderr": 0.029454863835292975 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.4666666666666667, "acc_stderr": 0.03895658065271846, "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.03895658065271846 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.48484848484848486, "acc_stderr": 0.0356071651653106, "acc_norm": 0.48484848484848486, "acc_norm_stderr": 0.0356071651653106 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.46632124352331605, "acc_stderr": 0.03600244069867178, "acc_norm": 0.46632124352331605, "acc_norm_stderr": 0.03600244069867178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.32051282051282054, "acc_stderr": 0.02366129639396428, "acc_norm": 0.32051282051282054, "acc_norm_stderr": 0.02366129639396428 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22962962962962963, "acc_stderr": 0.02564410863926761, "acc_norm": 0.2296296296296