open-llm-leaderboard/details_willnguyen__lacda-2-7B-chat-v0.1

该数据集是在模型 willnguyen/lacda-2-7B-chat-v0.1 在 Open LLM Leaderboard 上的评估运行期间自动创建的。它由 64 个配置组成，每个配置对应一个评估任务。数据集是从 1 次运行中创建的，每次运行作为每个配置中的特定分割，使用运行的时间戳命名。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。

This dataset was automatically created during the evaluation run of the model willnguyen/lacda-2-7B-chat-v0.1 on the Open LLM Leaderboard. It comprises 64 configurations, each corresponding to one evaluation task. The dataset is constructed from a single evaluation run, where each specific split for every configuration is named using the timestamp of the run. 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.

原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 willnguyen/lacda-2-7B-chat-v0.1 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 该数据集包含 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" 分割始终指向最新结果。
• 一个额外的配置 "results" 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。

最新结果

以下是 2023-11-09T13:53:53.211938 运行的最新结果：

python { "all": { "acc": 0.46065725811605934, "acc_stderr": 0.034477280778802896, "acc_norm": 0.4668080345369505, "acc_norm_stderr": 0.035310968004727446, "mc1": 0.3011015911872705, "mc1_stderr": 0.016058999026100612, "mc2": 0.4456721895962505, "mc2_stderr": 0.014265726453599933, "em": 0.001363255033557047, "em_stderr": 0.0003778609196460794, "f1": 0.05649014261744978, "f1_stderr": 0.0013342363586640303 }, "harness|arc:challenge|25": { "acc": 0.4803754266211604, "acc_stderr": 0.014600132075947087, "acc_norm": 0.5307167235494881, "acc_norm_stderr": 0.014583792546304038 }, "harness|hellaswag|10": { "acc": 0.5796654052977495, "acc_stderr": 0.0049260381977145225, "acc_norm": 0.7757418840868353, "acc_norm_stderr": 0.0041624039148053385 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.047609522856952365, "acc_norm": 0.34, "acc_norm_stderr": 0.047609522856952365 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.04284958639753399, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.04284958639753399 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.48026315789473684, "acc_stderr": 0.040657710025626036, "acc_norm": 0.48026315789473684, "acc_norm_stderr": 0.040657710025626036 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.45660377358490567, "acc_stderr": 0.030656748696739438, "acc_norm": 0.45660377358490567, "acc_norm_stderr": 0.030656748696739438 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4375, "acc_stderr": 0.04148415739394154, "acc_norm": 0.4375, "acc_norm_stderr": 0.04148415739394154 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4277456647398844, "acc_stderr": 0.037724468575180255, "acc_norm": 0.4277456647398844, "acc_norm_stderr": 0.037724468575180255 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.04280105837364395, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.04280105837364395 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.63, "acc_stderr": 0.048523658709391, "acc_norm": 0.63, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.39574468085106385, "acc_stderr": 0.03196758697835362, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.03196758697835362 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.041424397194893624, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.041424397194893624 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5241379310344828, "acc_stderr": 0.041618085035015295, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.041618085035015295 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.02264421261552521, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.02264421261552521 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.04104947269903394, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.04104947269903394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4645161290322581, "acc_stderr": 0.028372287797962956, "acc_norm": 0.4645161290322581, "acc_norm_stderr": 0.028372287797962956 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.35467980295566504, "acc_stderr": 0.0336612448905145, "acc_norm": 0.35467980295566504, "acc_norm_stderr": 0.0336612448905145 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6303030303030303, "acc_stderr": 0.03769430314512566, "acc_norm": 0.6303030303030303, "acc_norm_stderr": 0.03769430314512566 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5, "acc_stderr": 0.035623524993954825, "acc_norm": 0.5, "acc_norm_stderr": 0.035623524993954825 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6062176165803109, "acc_stderr": 0.035260770955482405, "acc_norm": 0.6062176165803109, "acc_norm_stderr": 0.035260770955482405 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4461538461538462, "acc_stderr": 0.02520357177302833, "acc_norm": 0.4461538461538462, "acc_norm_stderr": 0.02520357177302833 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2851851851851852, "acc_stderr": 0.027528599210340496, "acc_norm