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open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4

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Hugging Face2023-09-28 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4
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资源简介:
该数据集是在Open LLM Leaderboard上对模型Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4的评估运行过程中自动创建的。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,用于在Open LLM Leaderboard上计算和显示聚合指标。

This dataset was automatically created during the evaluation run of the model Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 on the Open LLM Leaderboard. The dataset consists of 64 configurations, each corresponding to one evaluation task. It is generated from two runs, with the results of each run serving as a split in a specific configuration, where the split name uses the timestamp of the run. The train split always points to the most recent results. Additionally, there is a configuration named "results" that stores the aggregated results of all runs, which is used to calculate and display 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

数据集摘要

该数据集是在评估模型 Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4Open LLM Leaderboard 上的自动创建的。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任务和运行结果。以下是部分配置的详细信息:

配置列表

  • harness_arc_challenge_25

    • 分割: 2023_07_19T14_47_41.742069
    • 路径: **/details_harness|arc:challenge|25_2023-07-19T14:47:41.742069.parquet
    • 分割: latest
    • 路径: **/details_harness|arc:challenge|25_2023-07-19T14:47:41.742069.parquet
  • harness_drop_3

    • 分割: 2023_09_28T15_50_00.560199
    • 路径: **/details_harness|drop|3_2023-09-28T15-50-00.560199.parquet
    • 分割: latest
    • 路径: **/details_harness|drop|3_2023-09-28T15-50-00.560199.parquet
  • harness_gsm8k_5

    • 分割: 2023_09_28T15_50_00.560199
    • 路径: **/details_harness|gsm8k|5_2023-09-28T15-50-00.560199.parquet
    • 分割: latest
    • 路径: **/details_harness|gsm8k|5_2023-09-28T15-50-00.560199.parquet
  • harness_hellaswag_10

    • 分割: 2023_07_19T14_47_41.742069
    • 路径: **/details_harness|hellaswag|10_2023-07-19T14:47:41.742069.parquet
    • 分割: latest
    • 路径: **/details_harness|hellaswag|10_2023-07-19T14:47:41.742069.parquet
  • harness_hendrycksTest_5

    • 分割: 2023_07_19T14_47_41.742069
    • 路径:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T14:47:41.742069.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2023-07-19T14:47:41.742069.parquet
      • ... (其他路径省略)
    • 分割: latest
    • 路径:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T14:47:41.742069.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2023-07-19T14:47:41.742069.parquet
      • ... (其他路径省略)

最新结果

以下是 2023-09-28T15:50:00.560199 运行 的最新结果:

python { "all": { "em": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013, "acc": 0.32543219642729987, "acc_stderr": 0.007862138879264232 }, "harness|drop|3": { "em": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013 }, "harness|gsm8k|5": { "acc": 0.006823351023502654, "acc_stderr": 0.0022675371022545044 }, "harness|winogrande|5": { "acc": 0.6440410418310971, "acc_stderr": 0.013456740656273959 } }

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