open-llm-leaderboard/details_TheBloke__Platypus2-70B-Instruct-GPTQ

该数据集是在模型TheBloke/Platypus2-70B-Instruct-GPTQ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61个配置组成，每个配置对应一个评估任务。数据集由1次运行创建，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Open LLM Leaderboard上的聚合指标。

This dataset was automatically generated during the evaluation run of the model TheBloke/Platypus2-70B-Instruct-GPTQ, and is designed for evaluation on the Open LLM Leaderboard. The dataset comprises 61 configurations, each corresponding to one evaluation task. The dataset was created via a single run, where specific splits can be retrieved for each configuration, with the split names utilizing 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 employed to compute and display the aggregate metrics on the Open LLM Leaderboard.

原始信息汇总

数据集概述

数据集简介

该数据集是在对模型 TheBloke/Platypus2-70B-Instruct-GPTQ 进行评估运行时自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 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 1 次运行创建，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_TheBloke__Platypus2-70B-Instruct-GPTQ", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-09-01T08:39:03.285201 运行的最新结果： python { "all": { "acc": 0.6985296232204664, "acc_stderr": 0.03125037426870383, "acc_norm": 0.7020835749710057, "acc_norm_stderr": 0.031223245232596956, "mc1": 0.4455324357405141, "mc1_stderr": 0.017399335280140354, "mc2": 0.6253657801165746, "mc2_stderr": 0.01474854589221215 }, "harness|arc:challenge|25": { "acc": 0.6919795221843004, "acc_stderr": 0.013491429517292038, "acc_norm": 0.712457337883959, "acc_norm_stderr": 0.013226719056266129 }, "harness|hellaswag|10": { "acc": 0.6863174666401115, "acc_stderr": 0.004630407476835178, "acc_norm": 0.8755228042222665, "acc_norm_stderr": 0.003294504807555233 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5925925925925926, "acc_stderr": 0.042446332383532286, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.042446332383532286 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7894736842105263, "acc_stderr": 0.03317672787533157, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.03317672787533157 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.71, "acc_stderr": 0.04560480215720683, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720683 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7471698113207547, "acc_stderr": 0.026749899771241214, "acc_norm": 0.7471698113207547, "acc_norm_stderr": 0.026749899771241214 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8333333333333334, "acc_stderr": 0.031164899666948614, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.031164899666948614 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736411, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736411 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.04755129616062947, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.04755129616062947 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909281, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909281 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6680851063829787, "acc_stderr": 0.03078373675774565, "acc_norm": 0.6680851063829787, "acc_norm_stderr": 0.03078373675774565 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.43859649122807015, "acc_stderr": 0.04668000738510455, "acc_norm": 0.43859649122807015, "acc_norm_stderr": 0.04668000738510455 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6137931034482759, "acc_stderr": 0.04057324734419036, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419036 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4656084656084656, "acc_stderr": 0.02569032176249384, "acc_norm": 0.4656084656084656, "acc_norm_stderr": 0.02569032176249384 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5396825396825397, "acc_stderr": 0.04458029125470973, "acc_norm": 0.5396825396825397, "acc_norm_stderr": 0.04458029125470973 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8064516129032258, "acc_stderr": 0.022475258525536057, "acc_norm": 0.8064516129032258, "acc_norm_stderr": 0.022475258525536057 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5467980295566502, "acc_stderr": 0.03502544650845872, "acc_norm": 0.5467980295566502, "acc_norm_stderr": 0.03502544650845872 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.74, "acc_stderr": 0.04408440022768079, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8787878787878788, "acc_stderr": 0.025485498373343237, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.025485498373343237 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8585858585858586, "acc_stderr": 0.02482590979334334, "acc_norm": 0.8585858585858586, "acc_norm_stderr": 0.02482590979334334 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9481865284974094, "acc_stderr": 0.01599622932024412, "acc_norm": 0.9481865284974094, "acc_norm_stderr": 0.01599622932024412 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7025641025641025, "acc_stderr": 0.023177408131465942, "acc_norm": 0.7025641025641025, "acc_norm_stderr": 0.023177408131465942 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3037037037037037, "acc_stderr": 0.028037929969114982, "acc_norm": 0.3