open-llm-leaderboard/details_L-R__LLmRa-2.7B

该数据集是在Open LLM Leaderboard上对模型L-R/LLmRa-2.7B进行评估时自动生成的。数据集由64个配置组成，每个配置对应一个被评估的任务。它包含一次运行的数据，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。一个名为results的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。文件还提供了如何使用`datasets`库中的`load_dataset`函数加载数据集的示例，并包含了特定运行的最新结果。

This dataset was automatically generated during the evaluation of the model L-R/LLmRa-2.7B on the Open LLM Leaderboard. It consists of 64 configurations, each corresponding to one evaluated task. The dataset contains data from a single run, where each run is represented as a specific split within each configuration. The train split always points to the most recent results. An additional configuration named `results` stores the aggregated results across all runs, which are used to calculate and display the aggregate metrics on the Open LLM Leaderboard. The dataset also provides examples of how to load it using the `load_dataset` function from the `datasets` library, and includes the most recent results from specific runs.

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 L-R/LLmRa-2.7B 进行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 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。

额外配置

一个额外的配置 "results" 存储了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

以下是加载特定运行详细信息的示例代码： python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_L-R__LLmRa-2.7B_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-13T14:52:35.782186 运行 的最新结果： python { "all": { "acc": 0.2619182180653927, "acc_stderr": 0.031054877346083407, "acc_norm": 0.2636967484818349, "acc_norm_stderr": 0.031856551298856575, "mc1": 0.22643818849449204, "mc1_stderr": 0.014651337324602581, "mc2": 0.3522535522108365, "mc2_stderr": 0.01379814047299605, "em": 0.0009437919463087249, "em_stderr": 0.0003144653119413285, "f1": 0.04760067114093977, "f1_stderr": 0.0011764663842453984 }, "harness|arc:challenge|25": { "acc": 0.32081911262798635, "acc_stderr": 0.013640943091946526, "acc_norm": 0.3703071672354949, "acc_norm_stderr": 0.01411129875167495 }, "harness|hellaswag|10": { "acc": 0.4561840270862378, "acc_stderr": 0.004970585328297622, "acc_norm": 0.6064528978291177, "acc_norm_stderr": 0.0048753793520798245 }, "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": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21052631578947367, "acc_stderr": 0.033176727875331574, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.033176727875331574 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.22264150943396227, "acc_stderr": 0.0256042334708991, "acc_norm": 0.22264150943396227, "acc_norm_stderr": 0.0256042334708991 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23699421965317918, "acc_stderr": 0.03242414757483098, "acc_norm": 0.23699421965317918, "acc_norm_stderr": 0.03242414757483098 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171452, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171452 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2425531914893617, "acc_stderr": 0.028020226271200217, "acc_norm": 0.2425531914893617, "acc_norm_stderr": 0.028020226271200217 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.040969851398436695, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.040969851398436695 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.296551724137931, "acc_stderr": 0.03806142687309993, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.03806142687309993 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23015873015873015, "acc_stderr": 0.021679219663693135, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.021679219663693135 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287394, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.19032258064516128, "acc_stderr": 0.02233170761182307, "acc_norm": 0.19032258064516128, "acc_norm_stderr": 0.02233170761182307 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3054187192118227, "acc_stderr": 0.03240661565868408, "acc_norm": 0.3054187192118227, "acc_norm_stderr": 0.03240661565868408 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24242424242424243, "acc_stderr": 0.03346409881055953, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.03346409881055953 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21212121212121213, "acc_stderr": 0.029126522834586804, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.029126522834586804 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21761658031088082, "acc_stderr": 0.029778663037752943, "acc_norm": 0.21761658031088082, "acc_norm_stderr": 0.029778663037752943 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2358974358974359, "acc_stderr": 0.021525965407408726, "acc_norm": 0.23589743589743