open-llm-leaderboard/details_CobraMamba__mamba-gpt-3b-v2

该数据集是在评估模型CobraMamba/mamba-gpt-3b-v2时自动创建的。数据集由61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，results配置存储了所有运行的聚合结果，并用于计算和显示在Open LLM Leaderboard上的聚合指标。

This dataset was automatically created during the evaluation of the model CobraMamba/mamba-gpt-3b-v2. The dataset consists of 61 configurations, each corresponding to one evaluation task. The dataset was generated from a single run, where each configuration has dedicated splits, and the names of these splits are based on the timestamp of the run. The "train" split always points to the most recent results. Additionally, the "results" configuration stores the aggregated results across all runs, and is used to compute and display the aggregated metrics on the Open LLM Leaderboard.

原始信息汇总

数据集概述

数据集简介

该数据集是在模型 CobraMamba/mamba-gpt-3b-v2 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

数据集结构

• 配置数量：61个配置，每个配置对应一个评估任务。
• 创建来源：从1次运行中创建，每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。
• 最新结果："train" 分割总是指向最新的结果。
• 聚合结果：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_CobraMamba__mamba-gpt-3b-v2", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-07-27T10:38:04.478796 运行的最新结果：

python { "all": { "acc": 0.2773460846321751, "acc_stderr": 0.03238661474119926, "acc_norm": 0.2811003145526316, "acc_norm_stderr": 0.03238192601606109, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871112, "mc2": 0.36736867775864135, "mc2_stderr": 0.013883449396602417 }, "harness|arc:challenge|25": { "acc": 0.386518771331058, "acc_stderr": 0.01423008476191048, "acc_norm": 0.42150170648464164, "acc_norm_stderr": 0.014430197069326023 }, "harness|hellaswag|10": { "acc": 0.5284803823939455, "acc_stderr": 0.004981680090303706, "acc_norm": 0.7149970125473013, "acc_norm_stderr": 0.0045049329997363914 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "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": 0.23684210526315788, "acc_stderr": 0.03459777606810536, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03459777606810536 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.02737770662467071, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.02737770662467071 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2361111111111111, "acc_stderr": 0.03551446610810826, "acc_norm": 0.2361111111111111, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "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": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.1791907514450867, "acc_stderr": 0.029242513059063294, "acc_norm": 0.1791907514450867, "acc_norm_stderr": 0.029242513059063294 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.04158307533083286, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.04158307533083286 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3404255319148936, "acc_stderr": 0.030976692998534443, "acc_norm": 0.3404255319148936, "acc_norm_stderr": 0.030976692998534443 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669416, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669416 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.19310344827586207, "acc_stderr": 0.03289445522127401, "acc_norm": 0.19310344827586207, "acc_norm_stderr": 0.03289445522127401 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25396825396825395, "acc_stderr": 0.022418042891113946, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.022418042891113946 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.24603174603174602, "acc_stderr": 0.038522733649243156, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.038522733649243156 }, "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": 0.23870967741935484, "acc_stderr": 0.02425107126220884, "acc_norm": 0.23870967741935484, "acc_norm_stderr": 0.02425107126220884 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694433, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694433 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2606060606060606, "acc_stderr": 0.034277431758165236, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.034277431758165236 }, "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": 0.20725388601036268, "acc_stderr": 0.02925282329180363, "acc_norm": 0.20725388601036268, "acc_norm_stderr": 0.02925282329180363 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2358974358974359, "acc_stderr": 0.021525965407408726, "acc_norm": 0.2358974358974359, "acc_norm_stderr": 0.021525965407408726 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24074074074074073, "acc_stderr": 0.026067159