open-llm-leaderboard-old/details_JCX-kcuf__Llama-2-7b-hf-llama2-chat-80k

该数据集是在评估模型[JCX-kcuf/Llama-2-7b-hf-llama2-chat-80k]时自动创建的，评估在[Open LLM Leaderboard]上进行。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，每次运行可以在每个配置中找到特定的分割，分割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

数据集简介

该数据集是在对模型 JCX-kcuf/Llama-2-7b-hf-llama2-chat-80k 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 配置数量：63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。
• 特殊配置："results" 配置存储所有运行的聚合结果，用于计算和显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_JCX-kcuf__Llama-2-7b-hf-llama2-chat-80k", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-11T18:16:53.123501 运行的最新结果：

python { "all": { "acc": 0.46402651451346244, "acc_stderr": 0.034578291341039215, "acc_norm": 0.4696674033417561, "acc_norm_stderr": 0.035371406117460036, "mc1": 0.25703794369645044, "mc1_stderr": 0.01529807750948508, "mc2": 0.3906065893469417, "mc2_stderr": 0.015067726381265061 }, "harness|arc:challenge|25": { "acc": 0.5042662116040956, "acc_stderr": 0.014610858923956955, "acc_norm": 0.53839590443686, "acc_norm_stderr": 0.01456824555029636 }, "harness|hellaswag|10": { "acc": 0.5457080262895837, "acc_stderr": 0.004968888130290061, "acc_norm": 0.7464648476399124, "acc_norm_stderr": 0.004341454841892331 }, "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": 0.48148148148148145, "acc_stderr": 0.043163785995113245, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.043163785995113245 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4144736842105263, "acc_stderr": 0.04008973785779206, "acc_norm": 0.4144736842105263, "acc_norm_stderr": 0.04008973785779206 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.47547169811320755, "acc_stderr": 0.030735822206205608, "acc_norm": 0.47547169811320755, "acc_norm_stderr": 0.030735822206205608 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4305555555555556, "acc_stderr": 0.04140685639111502, "acc_norm": 0.4305555555555556, "acc_norm_stderr": 0.04140685639111502 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4277456647398844, "acc_stderr": 0.037724468575180255, "acc_norm": 0.4277456647398844, "acc_norm_stderr": 0.037724468575180255 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.043364327079931785, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.043364327079931785 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.58, "acc_stderr": 0.04960449637488583, "acc_norm": 0.58, "acc_norm_stderr": 0.04960449637488583 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4127659574468085, "acc_stderr": 0.03218471141400351, "acc_norm": 0.4127659574468085, "acc_norm_stderr": 0.03218471141400351 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2982456140350877, "acc_stderr": 0.04303684033537315, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.04303684033537315 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4689655172413793, "acc_stderr": 0.04158632762097828, "acc_norm": 0.4689655172413793, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.02278967314577656, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.02278967314577656 }, "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": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4774193548387097, "acc_stderr": 0.028414985019707868, "acc_norm": 0.4774193548387097, "acc_norm_stderr": 0.028414985019707868 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3497536945812808, "acc_stderr": 0.03355400904969566, "acc_norm": 0.3497536945812808, "acc_norm_stderr": 0.03355400904969566 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5757575757575758, "acc_stderr": 0.03859268142070264, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.03859268142070264 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5707070707070707, "acc_stderr": 0.035265527246011986, "acc_norm": 0.5707070707070707, "acc_norm_stderr": 0.035265527246011986 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6321243523316062, "acc_stderr": 0.034801756684660366, "acc_norm": 0.6321243523316062, "acc_norm_stderr": 0.034801756684660366 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4461538461538462, "acc_stderr": 0.025203571773028333, "acc_norm": 0.4461538461538462, "acc_norm_stderr": 0.025203571773028333 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.28888888888888886, "acc_stderr": 0.02763490726417854, "acc_norm": 0.28888888888888886