open-llm-leaderboard-old/details_moreh__MoMo-70B-lora-1.8.5-DPO

该数据集是在模型moreh/MoMo-70B-lora-1.8.5-DPO在Open LLM Leaderboard上的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。它由1次运行创建，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。README还提供了如何使用Python代码加载运行细节的示例，并列出了特定运行的最新结果。

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 moreh/MoMo-70B-lora-1.8.5-DPO 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找到一个特定的拆分，拆分名称使用运行的时间戳。"train" 拆分始终指向最新的结果。

额外配置

一个额外的配置 "results" 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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_moreh__MoMo-70B-lora-1.8.5-DPO", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-14T20:00:36.558108 运行的最新结果：

python { "all": { "acc": 0.7718244861304054, "acc_stderr": 0.02796487785418919, "acc_norm": 0.7749239423331258, "acc_norm_stderr": 0.0285082622909065, "mc1": 0.48959608323133413, "mc1_stderr": 0.017499711430249264, "mc2": 0.6579360053724295, "mc2_stderr": 0.014740925357615238 }, "harness|arc:challenge|25": { "acc": 0.6638225255972696, "acc_stderr": 0.013804855026205761, "acc_norm": 0.6953924914675768, "acc_norm_stderr": 0.013449522109932487 }, "harness|hellaswag|10": { "acc": 0.6640111531567416, "acc_stderr": 0.0047136966941316765, "acc_norm": 0.8560047799243179, "acc_norm_stderr": 0.00350367366880503 }, "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": 0.7111111111111111, "acc_stderr": 0.03915450630414251, "acc_norm": 0.7111111111111111, "acc_norm_stderr": 0.03915450630414251 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.881578947368421, "acc_stderr": 0.026293995855474928, "acc_norm": 0.881578947368421, "acc_norm_stderr": 0.026293995855474928 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.04020151261036844, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036844 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8301886792452831, "acc_stderr": 0.02310839379984133, "acc_norm": 0.8301886792452831, "acc_norm_stderr": 0.02310839379984133 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9236111111111112, "acc_stderr": 0.02221220393834591, "acc_norm": 0.9236111111111112, "acc_norm_stderr": 0.02221220393834591 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7745664739884393, "acc_stderr": 0.031862098516411454, "acc_norm": 0.7745664739884393, "acc_norm_stderr": 0.031862098516411454 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5980392156862745, "acc_stderr": 0.04878608714466996, "acc_norm": 0.5980392156862745, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.774468085106383, "acc_stderr": 0.027321078417387536, "acc_norm": 0.774468085106383, "acc_norm_stderr": 0.027321078417387536 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.6228070175438597, "acc_stderr": 0.04559522141958216, "acc_norm": 0.6228070175438597, "acc_norm_stderr": 0.04559522141958216 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.8068965517241379, "acc_stderr": 0.032894455221273995, "acc_norm": 0.8068965517241379, "acc_norm_stderr": 0.032894455221273995 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6825396825396826, "acc_stderr": 0.023973861998992086, "acc_norm": 0.6825396825396826, "acc_norm_stderr": 0.023973861998992086 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04444444444444449, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04444444444444449 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8903225806451613, "acc_stderr": 0.017776778700485173, "acc_norm": 0.8903225806451613, "acc_norm_stderr": 0.017776778700485173 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.645320197044335, "acc_stderr": 0.0336612448905145, "acc_norm": 0.645320197044335, "acc_norm_stderr": 0.0336612448905145 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.83, "acc_stderr": 0.0377525168068637, "acc_norm": 0.83, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066584, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066584 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9343434343434344, "acc_stderr": 0.017646526677233335, "acc_norm": 0.9343434343434344, "acc_norm_stderr": 0.017646526677233335 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9792746113989638, "acc_stderr": 0.010281417011909046, "acc_norm": 0.9792746113989638, "acc_norm_stderr": 0.010281417011909046 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8153846153846154, "acc_stderr": 0.019671632413100288, "acc_norm": 0.8153846153846154, "acc_norm_stderr": 0.019671632413100288 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.48148148148148145, "acc_stderr": 0.03046462171889533, "acc_norm": 0.48148148148148145, "acc_norm_stderr":