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open-llm-leaderboard-old/details_saltlux__luxia-21.4b-alignment-v0.3

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Hugging Face2024-03-11 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_saltlux__luxia-21.4b-alignment-v0.3
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资源简介:
该数据集是在评估模型saltlux/luxia-21.4b-alignment-v0.3时自动创建的,评估在Open LLM Leaderboard上进行。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从1次运行中创建的,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。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Open LLM Leaderboard上的聚合指标。

该数据集是在评估模型saltlux/luxia-21.4b-alignment-v0.3时自动创建的,评估在Open LLM Leaderboard上进行。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从1次运行中创建的,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。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Open LLM Leaderboard上的聚合指标。
提供机构:
open-llm-leaderboard-old
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 saltlux/luxia-21.4b-alignment-v0.3 进行评估运行期间自动创建的。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,每个运行的详细信息可以在每个配置中找到,并以运行的时间戳命名。"train" 分割始终指向最新的结果。

数据集结构

  • 配置数量:63个配置
  • 运行次数:1次
  • 分割命名:使用运行的时间戳命名
  • "train" 分割:指向最新的结果

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_saltlux__luxia-21.4b-alignment-v0.3", "harness_winogrande_5", split="train")

最新结果

以下是2024-03-11T19:24:25.613292运行的最新结果: python { "all": { "acc": 0.6866698827821776, "acc_stderr": 0.031609908633197605, "acc_norm": 0.6863396372897556, "acc_norm_stderr": 0.03227681695490394, "mc1": 0.5630354957160343, "mc1_stderr": 0.017363844503195967, "mc2": 0.6943518929245227, "mc2_stderr": 0.0152631127664847 }, "harness|arc:challenge|25": { "acc": 0.7568259385665529, "acc_stderr": 0.012536554144587087, "acc_norm": 0.7627986348122867, "acc_norm_stderr": 0.012430399829260835 }, "harness|hellaswag|10": { "acc": 0.8125871340370444, "acc_stderr": 0.0038944505016930363, "acc_norm": 0.915255925114519, "acc_norm_stderr": 0.002779313023771229 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.04218506215368879, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.04218506215368879 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.743421052631579, "acc_stderr": 0.0355418036802569, "acc_norm": 0.743421052631579, "acc_norm_stderr": 0.0355418036802569 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.73, "acc_stderr": 0.04461960433384741, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7358490566037735, "acc_stderr": 0.027134291628741716, "acc_norm": 0.7358490566037735, "acc_norm_stderr": 0.027134291628741716 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8263888888888888, "acc_stderr": 0.03167473383795718, "acc_norm": 0.8263888888888888, "acc_norm_stderr": 0.03167473383795718 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6473988439306358, "acc_stderr": 0.03643037168958548, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.03643037168958548 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.049512182523962625, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.049512182523962625 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6808510638297872, "acc_stderr": 0.030472973363380042, "acc_norm": 0.6808510638297872, "acc_norm_stderr": 0.030472973363380042 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5701754385964912, "acc_stderr": 0.04657047260594964, "acc_norm": 0.5701754385964912, "acc_norm_stderr": 0.04657047260594964 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6344827586206897, "acc_stderr": 0.04013124195424385, "acc_norm": 0.6344827586206897, "acc_norm_stderr": 0.04013124195424385 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5079365079365079, "acc_stderr": 0.025748065871673297, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.025748065871673297 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "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": 0.8419354838709677, "acc_stderr": 0.020752831511875267, "acc_norm": 0.8419354838709677, "acc_norm_stderr": 0.020752831511875267 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6009852216748769, "acc_stderr": 0.03445487686264716, "acc_norm": 0.6009852216748769, "acc_norm_stderr": 0.03445487686264716 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.74, "acc_stderr": 0.0440844002276808, "acc_norm": 0.74, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8, "acc_stderr": 0.031234752377721164, "acc_norm": 0.8, "acc_norm_stderr": 0.031234752377721164 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8484848484848485, "acc_stderr": 0.02554565042660362, "acc_norm": 0.8484848484848485, "acc_norm_stderr": 0.02554565042660362 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8808290155440415, "acc_stderr": 0.02338193534812143, "acc_norm": 0.8808290155440415, "acc_norm_stderr": 0.02338193534812143 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7, "acc_stderr": 0.023234581088428494, "acc_norm": 0.7, "acc_norm_stderr": 0.023234581088428494 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.37777777777777777, "acc_stderr": 0.029560707392465708, "acc_norm": 0.37777777777777777, "acc_norm_stderr": 0.029560707392465708 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.773109243697479, "acc_stderr": 0.02720537153827948, "acc_norm": 0.773109243697479, "acc_norm_stderr": 0.02720537153827948 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.47019867549668876, "acc_stderr

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