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open-llm-leaderboard/details_xzuyn__MedicWizard-7B

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Hugging Face2023-10-13 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard/details_xzuyn__MedicWizard-7B
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资源简介:
该数据集是在Open LLM Leaderboard上对模型xzuyn/MedicWizard-7B进行评估时自动创建的。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2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,还有一个名为results的配置存储了所有运行的聚合结果,并用于在Open LLM Leaderboard上计算和显示聚合指标。

This dataset was automatically generated during the evaluation of the model xzuyn/MedicWizard-7B on the Open LLM Leaderboard. The dataset comprises 64 configurations, each corresponding to an individual evaluation task. It is created from two runs, where the results of each run serve as a split within its respective configuration, with the split name being the timestamp of that run. The train split always points to the most recent results. Additionally, there is a configuration named "results" that stores the aggregated results across all runs and is used to calculate and display the aggregated metrics on the Open LLM Leaderboard.
提供机构:
open-llm-leaderboard
原始信息汇总

数据集概述

数据集来源

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 2 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" 存储所有运行的聚合结果,用于计算和显示聚合指标在 Open LLM Leaderboard 上。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_xzuyn__MedicWizard-7B", "harness_winogrande_5", split="train")

最新结果

  • 最新结果来自 2023-10-13T06:29:30.615749 运行,包含以下指标: python { "all": { "em": 0.20186661073825504, "em_stderr": 0.00411064182515535, "f1": 0.27016044463087346, "f1_stderr": 0.004163667139435202, "acc": 0.3774417729343401, "acc_stderr": 0.009385788895082446 }, "harness|drop|3": { "em": 0.20186661073825504, "em_stderr": 0.00411064182515535, "f1": 0.27016044463087346, "f1_stderr": 0.004163667139435202 }, "harness|gsm8k|5": { "acc": 0.04927975739196361, "acc_stderr": 0.005962150655812479 }, "harness|winogrande|5": { "acc": 0.7056037884767167, "acc_stderr": 0.012809427134352413 } }

配置详情

  • 数据集包含多个配置,每个配置对应不同的任务和运行时间戳。以下是部分配置示例:
    • harness_arc_challenge_25
    • harness_drop_3
    • harness_gsm8k_5
    • harness_hellaswag_10
    • harness_hendrycksTest_5
    • harness_hendrycksTest_abstract_algebra_5
    • harness_hendrycksTest_anatomy_5
    • harness_hendrycksTest_astronomy_5
    • harness_hendrycksTest_business_ethics_5
    • harness_hendrycksTest_clinical_knowledge_5
    • harness_hendrycksTest_college_biology_5
    • harness_hendrycksTest_college_chemistry_5
    • harness_hendrycksTest_college_computer_science_5
    • harness_hendrycksTest_college_mathematics_5
    • harness_hendrycksTest_college_medicine_5
    • harness_hendrycksTest_college_physics_5
    • harness_hendrycksTest_computer_security_5
    • harness_hendrycksTest_conceptual_physics_5
    • harness_hendrycksTest_econometrics_5
    • harness_hendrycksTest_electrical_engineering_5
    • harness_hendrycksTest_elementary_mathematics_5

以上是数据集的概述和部分配置详情,具体每个配置的详细信息可以在数据集文件路径中找到。

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