open-llm-leaderboard/details_mncai__Llama2-7B-guanaco-dolphin-500
收藏资源简介：
该数据集是在评估模型mncai/Llama2-7B-guanaco-dolphin-500时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集包含64个配置，每个配置对应一个评估任务。数据集由3次运行生成，每次运行的结果作为特定配置中的一个分割，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，用于计算和显示Open LLM Leaderboard上的聚合指标。
This dataset was automatically created during the evaluation of the model mncai/Llama2-7B-guanaco-dolphin-500, with the evaluation process conducted on the Open LLM Leaderboard. The dataset consists of 64 configurations, each corresponding to one evaluation task. It is generated from three runs, where the results of each run serve as a data split under a specific configuration, with the split name using the timestamp of the corresponding run. The `train` split always points to the most recent results. Additionally, the `results` configuration stores the aggregated results from all runs, which are utilized to calculate and display the aggregate metrics on the Open LLM Leaderboard.
数据集概述
数据集摘要
该数据集是在评估模型 mncai/Llama2-7B-guanaco-dolphin-500 在 Open LLM Leaderboard 上的自动创建的。数据集包含 64 个配置，每个配置对应一个评估任务。数据集从 3 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" 分割始终指向最新结果。
数据集结构
数据集包含多个配置，每个配置对应不同的评估任务。每个配置包含多个分割，分割名称使用运行的时间戳。"train" 分割指向最新结果。
加载数据示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_mncai__Llama2-7B-guanaco-dolphin-500", "harness_winogrande_5", split="train")
最新结果
以下是 最新结果 的摘要： python { "all": { "acc": 0.48789166502400916, "acc_stderr": 0.03456685332517279, "acc_norm": 0.49373129590075493, "acc_norm_stderr": 0.03535583848667483, "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4693286672182885, "mc2_stderr": 0.01543993120710859 }, "harness|arc:challenge|25": { "acc": 0.5247440273037542, "acc_stderr": 0.014593487694937742, "acc_norm": 0.5674061433447098, "acc_norm_stderr": 0.014478005694182526 }, "harness|hellaswag|10": { "acc": 0.6215893248356901, "acc_stderr": 0.00483999574560232, "acc_norm": 0.8161720772754432, "acc_norm_stderr": 0.003865521762363158 }, "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": 0.4888888888888889, "acc_stderr": 0.04318275491977976, "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.04318275491977976 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4605263157894737, "acc_stderr": 0.04056242252249033, "acc_norm": 0.4605263157894737, "acc_norm_stderr": 0.04056242252249033 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4716981132075472, "acc_stderr": 0.0307235352490061, "acc_norm": 0.4716981132075472, "acc_norm_stderr": 0.0307235352490061 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4861111111111111, "acc_stderr": 0.041795966175810016, "acc_norm": 0.4861111111111111, "acc_norm_stderr": 0.041795966175810016 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4508670520231214, "acc_stderr": 0.0379401267469703, "acc_norm": 0.4508670520231214, "acc_norm_stderr": 0.0379401267469703 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149352, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149352 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.43829787234042555, "acc_stderr": 0.03243618636108102, "acc_norm": 0.43829787234042555, "acc_norm_stderr": 0.03243618636108102 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159393, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159393 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.04166567577101579, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.04166567577101579 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.0236369759961018, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.0236369759961018 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574925, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574925 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5387096774193548, "acc_stderr": 0.02835863485983694, "acc_norm": 0.5387096774193548, "acc_norm_stderr": 0.02835863485983694 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3399014778325123, "acc_stderr": 0.0333276906841079, "acc_norm": 0.3399014778325123, "acc_norm_stderr": 0.0333276906841079 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.038154943086889305, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.038154943086889305 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5909090909090909, "acc_stderr": 0.03502975799413007, "acc_norm": 0.5909090909090909, "acc_norm_stderr": 0.03502975799413007 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6683937823834197, "acc_stderr": 0.03397636541089118, "acc_norm": 0.6683937823834197, "acc_norm_stderr": 0.03397636541089118 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4512820512820513, "acc_stderr": 0.025230381238934837, "acc_norm": 0.4512820512820513, "acc_norm_stderr": 0.025230381238934837 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3074074074074074, "acc_stderr": 0.02813325257881563, "acc_norm": 0.3074074074074074, "acc_norm_stderr": 0.02813325257881563 }, "harness|hendrycksTest-high_
