open-llm-leaderboard/details_llm-agents__tora-code-13b-v1.0

该数据集是在评估模型llm-agents/tora-code-13b-v1.0时自动创建的，用于在Open LLM Leaderboard上展示评估结果。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分割存储在配置中，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，用于计算和展示在Open LLM Leaderboard上的聚合指标。

This dataset was automatically created during the evaluation of the model llm-agents/tora-code-13b-v1.0, and is intended to showcase evaluation results on the Open LLM Leaderboard. It contains 64 configurations, each corresponding to a single evaluation task. The dataset is generated from three independent runs, where the results of each run are stored as a dedicated split within its respective configuration, with the split name being the timestamp of the run. The `train` split always references the most recent results. Furthermore, the `results` configuration stores aggregated results across all runs, which are utilized to compute and display the aggregated 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 llm-agents/tora-code-13b-v1.0 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 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，用于计算和显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_llm-agents__tora-code-13b-v1.0", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-05T00:05:06.011798 运行的最新结果：

python { "all": { "acc": 0.37133917033097863, "acc_stderr": 0.033716552886144835, "acc_norm": 0.37373731711932, "acc_norm_stderr": 0.0344519862454126, "mc1": 0.21909424724602203, "mc1_stderr": 0.014480038578757442, "mc2": 0.34975611948955065, "mc2_stderr": 0.014693573812259149 }, "harness|arc:challenge|25": { "acc": 0.4206484641638225, "acc_stderr": 0.014426211252508406, "acc_norm": 0.447098976109215, "acc_norm_stderr": 0.014529380160526845 }, "harness|hellaswag|10": { "acc": 0.5232025492929695, "acc_stderr": 0.004984405935541087, "acc_norm": 0.6914957179844653, "acc_norm_stderr": 0.004609320024893882 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816507, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816507 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34814814814814815, "acc_stderr": 0.041153246103369526, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.39473684210526316, "acc_stderr": 0.039777499346220734, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.039777499346220734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3660377358490566, "acc_stderr": 0.029647813539365245, "acc_norm": 0.3660377358490566, "acc_norm_stderr": 0.029647813539365245 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3541666666666667, "acc_stderr": 0.039994111357535424, "acc_norm": 0.3541666666666667, "acc_norm_stderr": 0.039994111357535424 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3179190751445087, "acc_stderr": 0.03550683989165582, "acc_norm": 0.3179190751445087, "acc_norm_stderr": 0.03550683989165582 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.03793281185307809, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.03793281185307809 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.35319148936170214, "acc_stderr": 0.031245325202761926, "acc_norm": 0.35319148936170214, "acc_norm_stderr": 0.031245325202761926 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.33793103448275863, "acc_stderr": 0.03941707632064889, "acc_norm": 0.33793103448275863, "acc_norm_stderr": 0.03941707632064889 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.29365079365079366, "acc_stderr": 0.023456037383982022, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.023456037383982022 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.31746031746031744, "acc_stderr": 0.04163453031302859, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.04163453031302859 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3709677419354839, "acc_stderr": 0.02748054188795359, "acc_norm": 0.3709677419354839, "acc_norm_stderr": 0.02748054188795359 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2413793103448276, "acc_stderr": 0.030108330718011625, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.030108330718011625 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.4909090909090909, "acc_stderr": 0.0390369864774844, "acc_norm": 0.4909090909090909, "acc_norm_stderr": 0.0390369864774844 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3838383838383838, "acc_stderr": 0.03464881675016338, "acc_norm": 0.3838383838383838, "acc_norm_stderr": 0.03464881675016338 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.40414507772020725, "acc_stderr": 0.035415085788840193, "acc_norm": 0.40414507772020725, "acc_norm_stderr": 0.035415085788840193 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2717948717948718, "acc_stderr": 0.022556551010132344, "acc_norm": 0.2717948717948718, "acc_norm_stderr": 0.022556551010132344 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295,