open-llm-leaderboard-old/details_qblocks__codellama_7b_DolphinCoder

该数据集是在模型[qblocks/codellama_7b_DolphinCoder](https://huggingface.co/qblocks/codellama_7b_DolphinCoder)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行可以在每个配置中找到，分割名称使用运行的时间戳。"train"分割始终指向最新结果。此外，"results"配置存储了运行的所有聚合结果，并用于计算和显示[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 qblocks/codellama_7b_DolphinCoder 进行评估运行期间自动创建的。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，每次运行的详细信息可以在每个配置中找到，并以运行的时间戳命名。"train" 分割始终指向最新的结果。

数据集结构

配置

• results: 存储所有运行结果的聚合结果，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

示例加载代码

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_qblocks__codellama_7b_DolphinCoder", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-05T08:13:34.391359 运行的最新结果：

python { "all": { "acc": 0.3827239446273333, "acc_stderr": 0.034226432114737984, "acc_norm": 0.3863708183260275, "acc_norm_stderr": 0.03501715050425477, "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487291, "mc2": 0.35450592505891126, "mc2_stderr": 0.014292262562897113 }, "harness|arc:challenge|25": { "acc": 0.39761092150170646, "acc_stderr": 0.014301752223279536, "acc_norm": 0.4197952218430034, "acc_norm_stderr": 0.014422181226303026 }, "harness|hellaswag|10": { "acc": 0.49432383987253536, "acc_stderr": 0.004989459871609184, "acc_norm": 0.6550487950607449, "acc_norm_stderr": 0.004743808792037848 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, # 其他任务的结果... }

配置详情

配置列表

• harness_arc_challenge_25
• harness_gsm8k_5
• harness_hellaswag_10
• harness_hendrycksTest_5

数据文件路径

• harness_arc_challenge_25:
  • **/details_harness|arc:challenge|25_2024-01-05T08-13-34.391359.parquet
• harness_gsm8k_5:
  • **/details_harness|gsm8k|5_2024-01-05T08-13-34.391359.parquet
• harness_hellaswag_10:
  • **/details_harness|hellaswag|10_2024-01-05T08-13-34.391359.parquet
• harness_hendrycksTest_5:
  • **/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-anatomy|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-astronomy|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-business_ethics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_biology|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_medicine|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-college_physics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-computer_security|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-econometrics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-formal_logic|5_2024-01-05T08-13-34.391359.parquet
  • **/details_harness|hendrycksTest-global_facts|5_2024-01-05T08-13-34.391359.parquet }