open-llm-leaderboard-old/details_Josephgflowers__TinyLlama-3T-Cinder-v1.3

该数据集是在模型Josephgflowers/TinyLlama-3T-Cinder-v1.3在Open LLM Leaderboard上的评估运行期间自动创建的。它由63个配置组成，每个配置对应一个被评估的任务。数据集包含1次运行的结果，每次运行在每个配置中表示为特定的分割。train分割始终指向最新结果。一个额外的配置results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。

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型Josephgflowers/TinyLlama-3T-Cinder-v1.3在Open LLM Leaderboard上的自动创建的。

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_Josephgflowers__TinyLlama-3T-Cinder-v1.3", "harness_winogrande_5", split="train")

最新结果

以下是2024-02-02T23:56:02.747267的最新结果：

python { "all": { "acc": 0.2606884815058437, "acc_stderr": 0.030908143471996267, "acc_norm": 0.26112195815444134, "acc_norm_stderr": 0.03164400632380069, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931586, "mc2": 0.38128711115047254, "mc2_stderr": 0.013974832670540031 }, "harness|arc:challenge|25": { "acc": 0.3054607508532423, "acc_stderr": 0.013460080478002508, "acc_norm": 0.3395904436860068, "acc_norm_stderr": 0.01383903976282016 }, "harness|hellaswag|10": { "acc": 0.4340768771161123, "acc_stderr": 0.0049462215121452765, "acc_norm": 0.5813582951603267, "acc_norm_stderr": 0.004923281841828511 }, "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": 0.2740740740740741, "acc_stderr": 0.03853254836552003, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.03853254836552003 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03317672787533157, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03317672787533157 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2490566037735849, "acc_stderr": 0.0266164829805017, "acc_norm": 0.2490566037735849, "acc_norm_stderr": 0.0266164829805017 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2708333333333333, "acc_stderr": 0.03716177437566016, "acc_norm": 0.2708333333333333, "acc_norm_stderr": 0.03716177437566016 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.18, "acc_stderr": 0.03861229196653697, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653697 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.21965317919075145, "acc_stderr": 0.031568093627031744, "acc_norm": 0.21965317919075145, "acc_norm_stderr": 0.031568093627031744 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.20425531914893616, "acc_stderr": 0.026355158413349424, "acc_norm": 0.20425531914893616, "acc_norm_stderr": 0.026355158413349424 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.03999423879281336, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.03999423879281336 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2620689655172414, "acc_stderr": 0.036646663372252565, "acc_norm": 0.2620689655172414, "acc_norm_stderr": 0.036646663372252565 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2275132275132275, "acc_stderr": 0.021591269407823785, "acc_norm": 0.2275132275132275, "acc_norm_stderr": 0.021591269407823785 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.03893259610604673, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.03893259610604673 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.15, "acc_stderr": 0.0358870281282637, "acc_norm": 0.15, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.22580645161290322, "acc_stderr": 0.023785577884181012, "acc_norm": 0.22580645161290322, "acc_norm_stderr": 0.023785577884181012 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.02989611429173354, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.02989611429173354 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3090909090909091, "acc_stderr": 0.03608541011573967, "acc_norm": 0.3090909090909091, "acc_norm_stderr": 0.03608541011573967 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.1717171717171717, "acc_stderr": 0.026869716187429917, "acc_norm": 0.1717171717171717, "acc_norm_stderr": 0.026869716187429917 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.17616580310880828, "acc_stderr": 0.027493504244548047, "acc_norm": 0.17616580310880828, "acc_norm_stderr": 0.027493504244548047 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.25384615384615383, "acc_stderr": 0.022066054378726257, "acc_norm": 0.25384615384615383, "acc_norm_stderr": 0.022066054378726257 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895991, "acc_norm":