open-llm-leaderboard-old/details_juhwanlee__gemma-7B-alpaca-case-3-2

该数据集是在模型 juhwanlee/gemma-7B-alpaca-case-3-2 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。它包含 1 次运行的结果，每次运行在每个配置中表示为特定的分割。train 分割始终指向最新结果。一个名为 results 的额外配置存储了所有运行的聚合结果，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 `datasets` 库中的 `load_dataset` 函数加载运行中的详细信息的示例。

原始信息汇总

数据集概述

该数据集是在对模型 juhwanlee/gemma-7B-alpaca-case-3-2 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

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。
• 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_juhwanlee__gemma-7B-alpaca-case-3-2", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-27T18:08:32.071039 运行的最新结果：

python { "all": { "acc": 0.2813608182150032, "acc_stderr": 0.03158116455716802, "acc_norm": 0.2831474632466192, "acc_norm_stderr": 0.03242830518837846, "mc1": 0.24112607099143207, "mc1_stderr": 0.014974827279752323, "mc2": 0.40993581342319196, "mc2_stderr": 0.0158234411590989 }, "harness|arc:challenge|25": { "acc": 0.29692832764505117, "acc_stderr": 0.013352025976725225, "acc_norm": 0.33276450511945393, "acc_norm_stderr": 0.013769863046192305 }, "harness|hellaswag|10": { "acc": 0.38099980083648677, "acc_stderr": 0.004846400325585234, "acc_norm": 0.4924317864967138, "acc_norm_stderr": 0.004989209770743233 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.32592592592592595, "acc_stderr": 0.040491220417025055, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.040491220417025055 }, "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": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.28679245283018867, "acc_stderr": 0.027834912527544057, "acc_norm": 0.28679245283018867, "acc_norm_stderr": 0.027834912527544057 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.22916666666666666, "acc_stderr": 0.035146974678623884, "acc_norm": 0.22916666666666666, "acc_norm_stderr": 0.035146974678623884 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24855491329479767, "acc_stderr": 0.03295304696818318, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.03295304696818318 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.32340425531914896, "acc_stderr": 0.030579442773610337, "acc_norm": 0.32340425531914896, "acc_norm_stderr": 0.030579442773610337 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131184, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131184 }, "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": 0.20634920634920634, "acc_stderr": 0.036196045241242515, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.036196045241242515 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2806451612903226, "acc_stderr": 0.025560604721022895, "acc_norm": 0.2806451612903226, "acc_norm_stderr": 0.025560604721022895 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22660098522167488, "acc_stderr": 0.029454863835292947, "acc_norm": 0.22660098522167488, "acc_norm_stderr": 0.029454863835292947 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21212121212121213, "acc_stderr": 0.03192271569548299, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.03192271569548299 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3282828282828283, "acc_stderr": 0.03345678422756777, "acc_norm": 0.3282828282828283, "acc_norm_stderr": 0.03345678422756777 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.37823834196891193, "acc_stderr": 0.03499807276193338, "acc_norm": 0.37823834196891193, "acc_norm_stderr": 0.03499807276193338 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2641025641025641, "acc_stderr": 0.022352193737453268, "acc_norm": 0.2641025641025641, "acc_norm_stderr": 0.022352193737453268 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22962962962962963, "acc_stderr": 0.025644108639267613, "acc_norm": 0.22