open-llm-leaderboard-old/details_health360__Healix-1.1B-V1-Chat-dDPO

该数据集是在Open LLM Leaderboard上对模型health360/Healix-1.1B-V1-Chat-dDPO进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，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，还有一个名为results的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。

原始信息汇总

数据集概述

数据集创建

• 创建背景：该数据集是在对模型 health360/Healix-1.1B-V1-Chat-dDPO 进行评估运行期间自动创建的。
• 评估平台：数据集的创建基于 Open LLM Leaderboard。

数据集结构

• 配置数量：数据集包含 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。
• 训练分割："train" 分割始终指向最新的结果。
• 结果配置：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_health360__Healix-1.1B-V1-Chat-dDPO", "harness_winogrande_5", split="train")

最新结果

• 最新结果来源：这些是最新结果，来自 2024-02-22T13:46:42.303847 的运行。
• 结果示例： python { "all": { "acc": 0.249893717592871, "acc_stderr": 0.03050953189163909, "acc_norm": 0.25078418110119677, "acc_norm_stderr": 0.03131787906957272, "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156496, "mc2": 0.4155107243933302, "mc2_stderr": 0.014692802385893357 }, "harness|arc:challenge|25": { "acc": 0.27303754266211605, "acc_stderr": 0.013019332762635748, "acc_norm": 0.3054607508532423, "acc_norm_stderr": 0.013460080478002501 }, "harness|hellaswag|10": { "acc": 0.3623780123481378, "acc_stderr": 0.004797048154893964, "acc_norm": 0.4478191595299741, "acc_norm_stderr": 0.004962534264751924 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2222222222222222, "acc_stderr": 0.035914440841969694, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.035914440841969694 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2490566037735849, "acc_stderr": 0.026616482980501704, "acc_norm": 0.2490566037735849, "acc_norm_stderr": 0.026616482980501704 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "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": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.28901734104046245, "acc_stderr": 0.034564257450869995, "acc_norm": 0.28901734104046245, "acc_norm_stderr": 0.034564257450869995 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.16666666666666666, "acc_stderr": 0.03708284662416544, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.03708284662416544 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.225531914893617, "acc_stderr": 0.027321078417387533, "acc_norm": 0.225531914893617, "acc_norm_stderr": 0.027321078417387533 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.0409698513984367, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.0409698513984367 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.32413793103448274, "acc_stderr": 0.03900432069185555, "acc_norm": 0.32413793103448274, "acc_norm_stderr": 0.03900432069185555 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2222222222222222, "acc_stderr": 0.021411684393694196, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.021411684393694196 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.20634920634920634, "acc_stderr": 0.0361960452412425, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.0361960452412425 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.2, "acc_stderr": 0.040201512610368466, "acc_norm": 0.2, "acc_norm_stderr": 0.040201512610368466 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.23225806451612904, "acc_stderr": 0.024022256130308235, "acc_norm": 0.23225806451612904, "acc_norm_stderr": 0.024022256130308235 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.16748768472906403, "acc_stderr": 0.026273086047535414, "acc_norm": 0.16748768472906403, "acc_norm_stderr": 0.026273086047535414 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.23030303030303031, "acc_stderr": 0.03287666758603488, "acc_norm": 0.23030303030303031, "acc_norm_stderr": 0.03287666758603488 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2474747474747475, "acc_stderr": 0.0307463007421245, "acc_norm": 0.2474747474747475, "acc_norm_stderr": 0.0307463007421245 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.3160621761658031, "acc_stderr": 0.03355397369686172, "acc_norm": 0.3160621761658031, "acc_norm_stderr": 0.03355397369686172 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2948717948717949, "acc_stderr": 0.023119362758232294, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.023119362758232294 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25555555555555554, "acc_stderr": 0.026593939101844065, "acc_norm": 0.25555555555555554, "acc_norm_stderr": 0.0265939