open-llm-leaderboard-old/details_Abe13__juniper-certificate-Llama-2-7b-chat-hf

该数据集是在Open LLM Leaderboard上对模型Abe13/juniper-certificate-Llama-2-7b-chat-hf进行评估运行时自动创建的。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次运行创建，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`函数加载运行细节的示例。

原始信息汇总

数据集概述

该数据集是在评估模型 Abe13/juniper-certificate-Llama-2-7b-chat-hf 在 Open LLM Leaderboard 上的运行过程中自动创建的。

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 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。
• 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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Abe13__juniper-certificate-Llama-2-7b-chat-hf", "harness_winogrande_5", split="train")

最新结果

以下是 2023-10-23T11:01:22.690386 运行 的最新结果： python { "all": { "em": 0.0, "em_stderr": 0.0, "f1": 4.823825503355705e-05, "f1_stderr": 1.1667517021967543e-05, "acc": 0.24151539068666142, "acc_stderr": 0.0070221952008064905 }, "harness|drop|3": { "em": 0.0, "em_stderr": 0.0, "f1": 4.823825503355705e-05, "f1_stderr": 1.1667517021967543e-05 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.48303078137332284, "acc_stderr": 0.014044390401612981 } }

配置详情

• harness_arc_challenge_25

  • 分割: 2023_10_04T07_11_33.936694
    • 路径: **/details_harness|arc:challenge|25_2023-10-04T07-11-33.936694.parquet
  • 分割: latest
    • 路径: **/details_harness|arc:challenge|25_2023-10-04T07-11-33.936694.parquet

• harness_drop_3

  • 分割: 2023_10_23T11_01_22.690386
    • 路径: **/details_harness|drop|3_2023-10-23T11-01-22.690386.parquet
  • 分割: latest
    • 路径: **/details_harness|drop|3_2023-10-23T11-01-22.690386.parquet

• harness_gsm8k_5

  • 分割: 2023_10_23T11_01_22.690386
    • 路径: **/details_harness|gsm8k|5_2023-10-23T11-01-22.690386.parquet
  • 分割: latest
    • 路径: **/details_harness|gsm8k|5_2023-10-23T11-01-22.690386.parquet

• harness_hellaswag_10

  • 分割: 2023_10_04T07_11_33.936694
    • 路径: **/details_harness|hellaswag|10_2023-10-04T07-11-33.936694.parquet
  • 分割: latest
    • 路径: **/details_harness|hellaswag|10_2023-10-04T07-11-33.936694.parquet

• harness_hendrycksTest_5

  • 分割: 2023_10_04T07_11_33.936694
    • 路径:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-astronomy|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-business_ethics|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-college_biology|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-college_chemistry|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-college_computer_science|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-college_mathematics|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-college_medicine|5_2023-10-04T07-11-33.936694.parquet
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      • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-04T07-11-33.936694.parquet
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      • **/details_harness|hendrycksTest-high_school_biology|5_2023-10-04T07-11-33.936694.parquet
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      • **/details_harness|hendrycksTest-international_law|5_2023-10-04T07-11-33.936694.parquet
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      • **/details_harness|hendrycksTest-nutrition|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-philosophy|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-prehistory|5_2023-10-04T07-11-33.936694.parquet
      • **/details_harness|hendrycksTest-professional_accounting|5_2023-10-04T07-11-33.936694.parquet
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      • **/details_harness|hendrycksTest-professional_psychology|5_20