open-llm-leaderboard/details_chaoyi-wu__MedLLaMA_13B

该数据集是在chaoyi-wu/MedLLaMA_13B模型的评估运行期间自动创建的。数据集包含61个配置，每个配置对应一个评估任务。数据集由一次运行创建，每次运行都可以在每个配置中作为一个特定的分割找到，分割名称使用运行的日期时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了运行中的所有聚合结果，用于计算并在Open LLM Leaderboard上显示聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 chaoyi-wu/MedLLaMA_13B 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 61 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。
• 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_chaoyi-wu__MedLLaMA_13B", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-07-24T13:04:01.266274 运行的最新结果：

python { "all": { "acc": 0.46685175478824187, "acc_stderr": 0.03531409019484935, "acc_norm": 0.47077526563025673, "acc_norm_stderr": 0.035299387024960424, "mc1": 0.2582619339045288, "mc1_stderr": 0.0153218216884762, "mc2": 0.4053787386286284, "mc2_stderr": 0.013893490031868357 }, "harness|arc:challenge|25": { "acc": 0.5102389078498294, "acc_stderr": 0.014608326906285012, "acc_norm": 0.5426621160409556, "acc_norm_stderr": 0.014558106543924065 }, "harness|hellaswag|10": { "acc": 0.5862378012348137, "acc_stderr": 0.004915003499517829, "acc_norm": 0.7853017327225652, "acc_norm_stderr": 0.004097736838432052 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5259259259259259, "acc_stderr": 0.04313531696750575, "acc_norm": 0.5259259259259259, "acc_norm_stderr": 0.04313531696750575 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.48026315789473684, "acc_stderr": 0.040657710025626036, "acc_norm": 0.48026315789473684, "acc_norm_stderr": 0.040657710025626036 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.49056603773584906, "acc_stderr": 0.0307673947078081, "acc_norm": 0.49056603773584906, "acc_norm_stderr": 0.0307673947078081 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4791666666666667, "acc_stderr": 0.041775789507399935, "acc_norm": 0.4791666666666667, "acc_norm_stderr": 0.041775789507399935 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.42196531791907516, "acc_stderr": 0.03765746693865151, "acc_norm": 0.42196531791907516, "acc_norm_stderr": 0.03765746693865151 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237657, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237657 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4, "acc_stderr": 0.03202563076101737, "acc_norm": 0.4, "acc_norm_stderr": 0.03202563076101737 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.3793103448275862, "acc_stderr": 0.04043461861916747, "acc_norm": 0.3793103448275862, "acc_norm_stderr": 0.04043461861916747 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23809523809523808, "acc_stderr": 0.021935878081184766, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.021935878081184766 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04216370213557835, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04216370213557835 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5129032258064516, "acc_stderr": 0.028434533152681855, "acc_norm": 0.5129032258064516, "acc_norm_stderr": 0.028434533152681855 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.28078817733990147, "acc_stderr": 0.0316185633535861, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.0316185633535861 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5757575757575758, "acc_stderr": 0.038592681420702636, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.038592681420702636 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5151515151515151, "acc_stderr": 0.03560716516531061, "acc_norm": 0.5151515151515151, "acc_norm_stderr": 0.03560716516531061 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6580310880829016, "acc_stderr": 0.03423465100104283, "acc_norm": 0.6580310880829016, "acc_norm_stderr": 0.03423465100104283 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.43846153846153846, "acc_stderr": 0.025158266016868575, "acc_norm": 0.43846153846153846, "acc_norm_stderr": 0.025158266016868575 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2962962962962963, "acc_stderr": 0.027840811495871927, "acc_norm": 0.2962962962962963, "acc_norm_stderr": 0.0278408