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open-llm-leaderboard-old/details_922-CA__monika-ddlc-7b-v1

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Hugging Face2023-11-23 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_922-CA__monika-ddlc-7b-v1
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资源简介:
该数据集是在评估模型[922-CA/monika-ddlc-7b-v1](https://huggingface.co/922-CA/monika-ddlc-7b-v1)时自动创建的,评估过程在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行。数据集由64个配置组成,每个配置对应一个评估任务。数据集由4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,并用于计算和显示[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。

该数据集是在评估模型[922-CA/monika-ddlc-7b-v1](https://huggingface.co/922-CA/monika-ddlc-7b-v1)时自动创建的,评估过程在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行。数据集由64个配置组成,每个配置对应一个评估任务。数据集由4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,并用于计算和显示[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。
提供机构:
open-llm-leaderboard-old
原始信息汇总

数据集概述

该数据集是在模型922-CA/monika-ddlc-7b-v1的评估运行期间自动创建的,用于Open LLM Leaderboard

数据集组成

  • 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4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。
  • 额外的配置"results"存储所有运行结果的聚合,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_922-CA__monika-ddlc-7b-v1_public", "harness_winogrande_5", split="train")

最新结果

以下是2023-11-23T09:14:32.105444运行的最新结果:

python { "all": { "acc": 0.45724106931691777, "acc_stderr": 0.03438888001157538, "acc_norm": 0.462960301316153, "acc_norm_stderr": 0.03519719392287989, "mc1": 0.28151774785801714, "mc1_stderr": 0.01574402724825605, "mc2": 0.43943952364740935, "mc2_stderr": 0.014972022232931708, "em": 0.014786073825503355, "em_stderr": 0.0012360366760473, "f1": 0.07986682046979873, "f1_stderr": 0.0018932315277158172 }, "harness|arc:challenge|25": { "acc": 0.5, "acc_stderr": 0.014611390804670088, "acc_norm": 0.5494880546075085, "acc_norm_stderr": 0.014539646098471627 }, "harness|hellaswag|10": { "acc": 0.5778729336785501, "acc_stderr": 0.004928891895874295, "acc_norm": 0.7677753435570603, "acc_norm_stderr": 0.004213885798268836 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3925925925925926, "acc_stderr": 0.04218506215368879, "acc_norm": 0.3925925925925926, "acc_norm_stderr": 0.04218506215368879 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.45394736842105265, "acc_stderr": 0.04051646342874142, "acc_norm": 0.45394736842105265, "acc_norm_stderr": 0.04051646342874142 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5132075471698113, "acc_stderr": 0.030762134874500482, "acc_norm": 0.5132075471698113, "acc_norm_stderr": 0.030762134874500482 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4861111111111111, "acc_stderr": 0.04179596617581, "acc_norm": 0.4861111111111111, "acc_norm_stderr": 0.04179596617581 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3815028901734104, "acc_stderr": 0.03703851193099521, "acc_norm": 0.3815028901734104, "acc_norm_stderr": 0.03703851193099521 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.04280105837364396, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.04280105837364396 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.41702127659574467, "acc_stderr": 0.03223276266711712, "acc_norm": 0.41702127659574467, "acc_norm_stderr": 0.03223276266711712 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.32456140350877194, "acc_stderr": 0.04404556157374767, "acc_norm": 0.32456140350877194, "acc_norm_stderr": 0.04404556157374767 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.43448275862068964, "acc_stderr": 0.04130740879555497, "acc_norm": 0.43448275862068964, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.29365079365079366, "acc_stderr": 0.023456037383982026, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.023456037383982026 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1984126984126984, "acc_stderr": 0.03567016675276865, "acc_norm": 0.1984126984126984, "acc_norm_stderr": 0.03567016675276865 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5290322580645161, "acc_stderr": 0.028396016402761005, "acc_norm": 0.5290322580645161, "acc_norm_stderr": 0.028396016402761005 }, "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": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5636363636363636, "acc_stderr": 0.03872592983524754, "acc_norm": 0.5636363636363636, "acc_norm_stderr": 0.03872592983524754 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.601010101010101, "acc_stderr": 0.034889016168527326, "acc_norm": 0.601010101010101, "acc_norm_stderr": 0.034889016168527326 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6217616580310881, "acc_stderr": 0.03499807276193338, "acc_norm": 0.6217616580310881, "acc_norm_stderr": 0.03499807276193338 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.39487179487179486, "acc_stderr": 0.02478431694215638, "acc_norm": 0.39487179487179486, "acc_norm_stderr": 0.02478431694215638 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24074074074

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