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open-llm-leaderboard-old/details_TeeZee__Kyllene-34B-v1.1

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Hugging Face2024-04-11 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_TeeZee__Kyllene-34B-v1.1
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资源简介:
该数据集是在Open LLM Leaderboard上对模型TeeZee/Kyllene-34B-v1.1进行评估运行时自动创建的。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从一次运行中生成的,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。此外,还有一个名为results的配置,存储了运行的所有聚合结果,这些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代码加载运行中的详细信息的示例,并包含了特定运行的最新结果。

该数据集是在Open LLM Leaderboard上对模型TeeZee/Kyllene-34B-v1.1进行评估运行时自动创建的。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从一次运行中生成的,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。此外,还有一个名为results的配置,存储了运行的所有聚合结果,这些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代码加载运行中的详细信息的示例,并包含了特定运行的最新结果。
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 TeeZee/Kyllene-34B-v1.1 进行评估运行期间自动创建的,评估结果展示在 Open LLM Leaderboard 上。

数据集结构

  • 配置数量:63个配置,每个配置对应一个评估任务。
  • 运行次数:数据集来自1次运行。每个运行结果作为一个特定的分割存储在每个配置中,分割名称使用运行的时间戳。
  • 最新结果:"train" 分割总是指向最新的结果。
  • 汇总结果:一个额外的配置 "results" 存储所有运行的汇总结果,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_TeeZee__Kyllene-34B-v1.1", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-11T13:13:43.696514 运行的最新结果: python { "all": { "acc": 0.7561910606806646, "acc_stderr": 0.027690517566888555, "acc_norm": 0.7715306460696612, "acc_norm_stderr": 0.028426992189601676, "mc1": 0.4638922888616891, "mc1_stderr": 0.017457800422268622, "mc2": 0.6295069070367436, "mc2_stderr": 0.01506378243599363 }, "harness|arc:challenge|25": { "acc": 0.6569965870307167, "acc_stderr": 0.013872423223718164, "acc_norm": 0.6877133105802048, "acc_norm_stderr": 0.013542598541688067 }, "harness|hellaswag|10": { "acc": 0.6520613423620792, "acc_stderr": 0.004753429806645437, "acc_norm": 0.8498307110137423, "acc_norm_stderr": 0.0035650718701954478 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7555555555555555, "acc_stderr": 0.03712537833614866, "acc_norm": 0.7555555555555555, "acc_norm_stderr": 0.03712537833614866 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.868421052631579, "acc_stderr": 0.027508689533549915, "acc_norm": 0.868421052631579, "acc_norm_stderr": 0.027508689533549915 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8037735849056604, "acc_stderr": 0.024442388131100813, "acc_norm": 0.8037735849056604, "acc_norm_stderr": 0.024442388131100813 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9097222222222222, "acc_stderr": 0.023964965777906935, "acc_norm": 0.9097222222222222, "acc_norm_stderr": 0.023964965777906935 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.65, "acc_stderr": 0.04793724854411018, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411018 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.42, "acc_stderr": 0.04960449637488583, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488583 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7456647398843931, "acc_stderr": 0.0332055644308557, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5784313725490197, "acc_stderr": 0.04913595201274503, "acc_norm": 0.5784313725490197, "acc_norm_stderr": 0.04913595201274503 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.85, "acc_stderr": 0.03588702812826369, "acc_norm": 0.85, "acc_norm_stderr": 0.03588702812826369 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7829787234042553, "acc_stderr": 0.026947483121496217, "acc_norm": 0.7829787234042553, "acc_norm_stderr": 0.026947483121496217 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5964912280701754, "acc_stderr": 0.04615186962583707, "acc_norm": 0.5964912280701754, "acc_norm_stderr": 0.04615186962583707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.8, "acc_stderr": 0.0333333333333333, "acc_norm": 0.8, "acc_norm_stderr": 0.0333333333333333 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.701058201058201, "acc_stderr": 0.02357760479165581, "acc_norm": 0.701058201058201, "acc_norm_stderr": 0.02357760479165581 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5793650793650794, "acc_stderr": 0.04415438226743745, "acc_norm": 0.5793650793650794, "acc_norm_stderr": 0.04415438226743745 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.9129032258064517, "acc_stderr": 0.01604110074169669, "acc_norm": 0.9129032258064517, "acc_norm_stderr": 0.01604110074169669 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6403940886699507, "acc_stderr": 0.03376458246509567, "acc_norm": 0.6403940886699507, "acc_norm_stderr": 0.03376458246509567 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8606060606060606, "acc_stderr": 0.0270459488258654, "acc_norm": 0.8606060606060606, "acc_norm_stderr": 0.0270459488258654 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9393939393939394, "acc_stderr": 0.01699999492742161, "acc_norm": 0.9393939393939394, "acc_norm_stderr": 0.01699999492742161 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9740932642487047, "acc_stderr": 0.01146452335695318, "acc_norm": 0.9740932642487047, "acc_norm_stderr": 0.01146452335695318 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8256410256410256, "acc_stderr": 0.01923724980340523, "acc_norm": 0.8256410256410256, "acc_norm_stderr": 0.01923724980340523 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.43333333333333335, "acc_stderr": 0.030213340289237924, "acc_norm": 0.43333333333333335, "acc_norm_stderr": 0.030213340289237924 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8529411764705882, "acc_stderr": 0.02300545944667395, "acc_norm": 0.8529411764705882, "acc_norm_stderr": 0.02300545944667395 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.5099337748344371, "acc_stderr": 0.04081677107248437, "acc_norm": 0.5099337748344371, "acc_norm_stderr": 0.04081677107248437 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9247706422018349, "acc_stderr": 0.011308662537571741, "acc_norm": 0.9247706422018349, "acc_norm_stderr": 0.011308662537571741 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6712962962962963, "acc_stderr": 0.032036140846700596, "acc_norm": 0.6712962962962963, "acc_norm_stderr": 0.032036140846700596 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9117647058823529, "acc_stderr": 0.01990739979131695, "acc_norm": 0.9117647058823529, "acc_norm_stderr": 0.01990739979131695 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8945147679324894, "acc_stderr": 0.01999556072375853, "acc_norm": 0.8945147679324894, "acc_norm_stderr": 0.01999556072375853 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7982062780269058, "acc_stderr": 0.02693611191280227, "acc_norm": 0.7982062780269058, "acc_norm_stderr": 0.02693611191280227 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8625954198473282, "acc_stderr": 0.030194823996804475, "acc_norm": 0.8625954198473282, "acc_norm_stderr": 0.030194823996804475 }, "harness|hendrycksTest-international_law|5": { "acc": 0.9090909090909091, "acc_stderr": 0.026243194054073885, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.026243194054073885 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.9166666666666666, "acc_stderr": 0.026719185044249933, "acc_norm": 0.9166666666666666, "acc_norm_stderr": 0.026719185044249933 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8588957055214724, "acc_stderr": 0.027351605518389752, "acc_norm": 0.8588957055214724, "acc_norm_stderr": 0.027351605518389752 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.6517857142857143, "acc_stderr": 0.04521829902833585, "acc_norm": 0.6517857142857143, "acc_norm_stderr": 0.04521829902833585 }, "harness|hendrycksTest-management|5": { "acc": 0.912621359223301, "acc_stderr": 0.027960689125970654, "acc_norm": 0.912621359223301, "acc_norm_stderr": 0.027960689125970654 }, "harness|hendrycksTest-marketing|5": { "acc": 0.9316239316239316, "acc_stderr": 0.016534627684311357, "acc_norm": 0.9316239316239316, "acc_norm_stderr": 0.016534627684311357 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.87, "acc_stderr": 0.03379976689896309, "acc_norm": 0.87, "acc_norm_stderr": 0.03379976689896309 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.9067688378033205, "acc_stderr": 0.010397417087292839, "acc_norm": 0.9067688378033205, "acc_norm_stderr": 0.010397417087292839 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.8121387283236994, "acc_stderr": 0.021029269752423217, "acc_norm": 0.8121387283236994, "acc_norm_stderr": 0.021029269752423217 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.7698324022346369, "acc_stderr": 0.014078339253425809, "acc_norm": 0.7698324022346369, "acc_norm_stderr": 0.014078339253425809 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.8464052287581699, "acc_stderr": 0.02064559791041877, "acc_norm": 0.8464052287581699, "acc_norm_stderr": 0.02064559791041877 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.819935691318328, "acc_stderr": 0.02182342285774494, "acc_norm": 0.819935691318328, "acc_norm_stderr": 0.02182342285774494 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8796296296296297, "acc_stderr": 0.018105414094329676, "acc_norm": 0.8796296296296297, "acc_norm_stderr": 0.018105414094329676 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.6702127659574468, "acc_stderr": 0.028045946942042405, "acc_norm": 0.6702127659574468, "acc_norm_stderr": 0.028045946942042405 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5977835723598436, "acc_stderr": 0.012523646856180178, "acc_norm": 0.5977835723598436, "acc_norm_stderr": 0.012523646856180178 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.8419117647058824, "acc_stderr": 0.022161462608068522, "acc_norm": 0.8419117647058824, "acc_norm_stderr": 0.022161462608068522 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.8137254901960784, "acc_stderr": 0.01575052628436335, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.01575052628436335 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7181818181818181, "acc_stderr": 0.043091187099464585, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.043091187099464585 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8489795918367347, "acc_stderr": 0.022923004094736847, "acc_norm": 0.8489795918367347, "acc_norm_stderr": 0.022923004094736847 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700643, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700643 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.92, "acc_stderr": 0.0272659924344291, "acc_norm": 0.92, "acc_norm_stderr": 0.0272659924344291 }, "harness|hendrycksTest-virology|5": { "acc": 0.5783132530120482, "acc_stderr": 0.038444531817709175, "acc_norm": 0.5783132530120482, "acc_norm_stderr": 0.038444531817709175 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8888888888888888, "acc_stderr": 0.024103384202072864, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.024103384202072864 }, "harness|truthfulqa:mc|0": { "mc1": 0.4638922888616891, "mc1_stderr": 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