open-llm-leaderboard-old/details_mlabonne__Monarch-7B

该数据集是在Open LLM Leaderboard上对模型mlabonne/Monarch-7B进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集包含一次运行的结果，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。此外，名为results的配置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。README还提供了如何使用`datasets`库中的`load_dataset`函数加载数据集的示例。

原始信息汇总

数据集概述

数据集摘要

该数据集是在评估模型 mlabonne/Monarch-7B 在 Open LLM Leaderboard 上的运行过程中自动创建的。数据集包含 63 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，每个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。

数据集结构

数据集包含多个配置，每个配置对应不同的评估任务。以下是部分配置的详细信息：

配置示例

• config_name: harness_arc_challenge_25

  • split: 2024_02_13T21_50_30.154125
    • path: **/details_harness|arc:challenge|25_2024-02-13T21-50-30.154125.parquet
  • split: latest
    • path: **/details_harness|arc:challenge|25_2024-02-13T21-50-30.154125.parquet

• config_name: harness_gsm8k_5

  • split: 2024_02_13T21_50_30.154125
    • path: **/details_harness|gsm8k|5_2024-02-13T21-50-30.154125.parquet
  • split: latest
    • path: **/details_harness|gsm8k|5_2024-02-13T21-50-30.154125.parquet

• config_name: harness_hellaswag_10

  • split: 2024_02_13T21_50_30.154125
    • path: **/details_harness|hellaswag|10_2024-02-13T21-50-30.154125.parquet
  • split: latest
    • path: **/details_harness|hellaswag|10_2024-02-13T21-50-30.154125.parquet

• config_name: harness_hendrycksTest_5

  • split: 2024_02_13T21_50_30.154125
    • path:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-astronomy|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-business_ethics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_biology|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_medicine|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-college_physics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-computer_security|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-econometrics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-formal_logic|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-global_facts|5_2024-02-13T21-50-30.154125.parquet
      • **/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T21-50-30.154125.parquet
      • ...

最新结果

以下是 2024-02-13T21:50:30.154125 运行 的最新结果：

python { "all": { "acc": 0.6503470541775671, "acc_stderr": 0.03225506593829634, "acc_norm": 0.6497458953786943, "acc_norm_stderr": 0.0329312943358108, "mc1": 0.6266829865361077, "mc1_stderr": 0.016932370557570638, "mc2": 0.7734559241701873, "mc2_stderr": 0.013864158411608155 }, "harness|arc:challenge|25": { "acc": 0.7056313993174061, "acc_stderr": 0.013318528460539419, "acc_norm": 0.7303754266211604, "acc_norm_stderr": 0.012968040686869143 }, "harness|hellaswag|10": { "acc": 0.7143995220075682, "acc_stderr": 0.0045077680295900965, "acc_norm": 0.8902609042023502, "acc_norm_stderr": 0.003119254828848945 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6222222222222222, "acc_stderr": 0.04188307537595853, "acc_norm": 0.6222222222222222, "acc_norm_stderr": 0.04188307537595853 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.02863723563980089, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.02863723563980089 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6416184971098265, "acc_stderr": 0.036563436533531585, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.036563436533531585 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.72, "acc_stderr": 0.04512608598542127, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5446808510638298, "acc_stderr": 0.03255525359340355, "acc_norm": 0.5446808510638298, "acc_norm_stderr": 0.03255525359340355 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.046920083813689104, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.046920083813689104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555497, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathemat