open-llm-leaderboard-old/details_kyujinpy__PlatYi-34B-Llama-Q-v3

该数据集是在模型kyujinpy/PlatYi-34B-Llama-Q-v3的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。数据集由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行都可以在每个配置的特定分割中找到，分割名称使用运行的时间戳命名。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Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 kyujinpy/PlatYi-34B-Llama-Q-v3 进行评估时自动创建的，评估结果发布在 Open LLM Leaderboard 上。

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 "results" 配置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_kyujinpy__PlatYi-34B-Llama-Q-v3", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-14T12:14:12.357754 运行的最新结果：

python { "all": { "acc": 0.7362231043895405, "acc_stderr": 0.028525669907782977, "acc_norm": 0.7496962088802717, "acc_norm_stderr": 0.02917819886610155, "mc1": 0.3671970624235006, "mc1_stderr": 0.01687480500145318, "mc2": 0.5180149372938835, "mc2_stderr": 0.014666631083011332 }, "harness|arc:challenge|25": { "acc": 0.6117747440273038, "acc_stderr": 0.014241614207414046, "acc_norm": 0.643344709897611, "acc_norm_stderr": 0.013998056902620192 }, "harness|hellaswag|10": { "acc": 0.6490738896634136, "acc_stderr": 0.004762844770909867, "acc_norm": 0.8488348934475204, "acc_norm_stderr": 0.0035747765941085046 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7407407407407407, "acc_stderr": 0.03785714465066652, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.03785714465066652 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8618421052631579, "acc_stderr": 0.028081042939576552, "acc_norm": 0.8618421052631579, "acc_norm_stderr": 0.028081042939576552 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.83, "acc_stderr": 0.0377525168068637, "acc_norm": 0.83, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7849056603773585, "acc_stderr": 0.025288394502891363, "acc_norm": 0.7849056603773585, "acc_norm_stderr": 0.025288394502891363 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8611111111111112, "acc_stderr": 0.028919802956134926, "acc_norm": 0.8611111111111112, "acc_norm_stderr": 0.028919802956134926 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6994219653179191, "acc_stderr": 0.03496101481191179, "acc_norm": 0.6994219653179191, "acc_norm_stderr": 0.03496101481191179 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4803921568627451, "acc_stderr": 0.04971358884367406, "acc_norm": 0.4803921568627451, "acc_norm_stderr": 0.04971358884367406 }, "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": 0.7446808510638298, "acc_stderr": 0.028504856470514255, "acc_norm": 0.7446808510638298, "acc_norm_stderr": 0.028504856470514255 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.6052631578947368, "acc_stderr": 0.045981880578165414, "acc_norm": 0.6052631578947368, "acc_norm_stderr": 0.045981880578165414 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7517241379310344, "acc_stderr": 0.036001056927277716, "acc_norm": 0.7517241379310344, "acc_norm_stderr": 0.036001056927277716 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6481481481481481, "acc_stderr": 0.024594975128920938, "acc_norm": 0.6481481481481481, "acc_norm_stderr": 0.024594975128920938 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.6031746031746031, "acc_stderr": 0.04375888492727059, "acc_norm": 0.6031746031746031, "acc_norm_stderr": 0.04375888492727059 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8903225806451613, "acc_stderr": 0.01777677870048519, "acc_norm": 0.8903225806451613, "acc_norm_stderr": 0.01777677870048519 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6108374384236454, "acc_stderr": 0.034304624161038716, "acc_norm": 0.6108374384236454, "acc_norm_stderr": 0.034304624161038716 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8606060606060606, "acc_stderr": 0.027045948825865394, "acc_norm": 0.8606060606060606, "acc_norm_stderr": 0.027045948825865394 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9040404040404041, "acc_stderr": 0.020984808610047933, "acc_norm": 0.9040404040404041, "acc_norm_stderr": 0.020984808610047933 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9689119170984456, "acc_stderr": 0.012525310625527026, "acc_norm": 0.9689119170984456, "acc_norm_stderr": 0.012525310625527026 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7794871794871795, "acc_stderr": 0.0210206726808279, "acc_norm": 0.7794871794871795, "acc_norm_stderr": 0.0210206726808279 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4111111111111111, "acc_stderr": 0.02999992350870668, "acc_norm": 0.4111111111111111,