open-llm-leaderboard-old/details_Isotonic__Mixnueza-6x32M-MoE

该数据集是在模型[Isotonic/Mixnueza-6x32M-MoE](https://huggingface.co/Isotonic/Mixnueza-6x32M-MoE)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集来源于一次运行，每次运行都作为一个特定的分割，分割名称使用运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个额外的results配置，存储了运行的聚合结果，用于计算并在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上显示聚合指标。

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 Isotonic/Mixnueza-6x32M-MoE 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 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 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_Isotonic__Mixnueza-6x32M-MoE", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-03T02:58:26.903006 运行的最新结果：

python { "all": { "acc": 0.2559514063264178, "acc_stderr": 0.030612915671212777, "acc_norm": 0.256379850516273, "acc_norm_stderr": 0.03139926274321708, "mc1": 0.24969400244798043, "mc1_stderr": 0.015152286907148128, "mc2": 0.47837127971295423, "mc2_stderr": 0.015611380743614477 }, "harness|arc:challenge|25": { "acc": 0.18003412969283278, "acc_stderr": 0.011227856729050028, "acc_norm": 0.21160409556313994, "acc_norm_stderr": 0.011935916358632868 }, "harness|hellaswag|10": { "acc": 0.2634933280223063, "acc_stderr": 0.004396273173717457, "acc_norm": 0.26687910774746065, "acc_norm_stderr": 0.004414246720076111 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720683, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720683 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.25925925925925924, "acc_stderr": 0.037857144650666544, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.037857144650666544 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21132075471698114, "acc_stderr": 0.025125766484827842, "acc_norm": 0.21132075471698114, "acc_norm_stderr": 0.025125766484827842 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.20833333333333334, "acc_stderr": 0.03396116205845333, "acc_norm": 0.20833333333333334, "acc_norm_stderr": 0.03396116205845333 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.04688261722621503, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621503 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.1676300578034682, "acc_stderr": 0.02848196303214339, "acc_norm": 0.1676300578034682, "acc_norm_stderr": 0.02848196303214339 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149352, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149352 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102963, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102963 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03835153954399421, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03835153954399421 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.27586206896551724, "acc_stderr": 0.037245636197746325, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.037245636197746325 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.03395490020856112, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.03395490020856112 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.31290322580645163, "acc_stderr": 0.02637756702864586, "acc_norm": 0.31290322580645163, "acc_norm_stderr": 0.02637756702864586 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2955665024630542, "acc_stderr": 0.032104944337514575, "acc_norm": 0.2955665024630542, "acc_norm_stderr": 0.032104944337514575 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2545454545454545, "acc_stderr": 0.03401506715249039, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2222222222222222, "acc_stderr": 0.02962022787479047, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.02962022787479047 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.3626943005181347, "acc_stderr": 0.03469713791704371, "acc_norm": 0.3626943005181347, "acc_norm_stderr": 0.03469713791704371 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.35384615384615387, "acc_stderr": 0.024243783994062167, "acc_norm": 0.35384615384615387, "acc_norm_stderr": 0.024243783994062167 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.23703703703703705, "acc_stderr": 0.02592887613276