open-llm-leaderboard-old/details_0-hero__Matter-0.1-Slim-7B-A
收藏Hugging Face2024-03-14 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_0-hero__Matter-0.1-Slim-7B-A
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资源简介：
该数据集是在模型0-hero/Matter-0.1-Slim-7B-A在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。它由1次运行创建，每次运行作为每个配置中的一个特定拆分，使用运行的时间戳命名。train拆分始终指向最新结果。一个额外的配置results存储了运行的所有聚合结果，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Python中的datasets库加载运行细节的示例。
该数据集是在模型0-hero/Matter-0.1-Slim-7B-A在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。它由1次运行创建，每次运行作为每个配置中的一个特定拆分，使用运行的时间戳命名。train拆分始终指向最新结果。一个额外的配置results存储了运行的所有聚合结果，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Python中的datasets库加载运行细节的示例。
提供机构：
open-llm-leaderboard-old
原始信息汇总
数据集概述
数据集信息
- 名称: Evaluation run of 0-hero/Matter-0.1-Slim-7B-A
- 来源: 自动创建于模型 0-hero/Matter-0.1-Slim-7B-A 在 Open LLM Leaderboard 的评估运行中。
- 组成: 包含 63 个配置，每个配置对应一个评估任务。
- 创建: 从 1 次运行中创建，每个运行在每个配置中作为一个特定的分割，分割名称使用运行的时间戳。"train" 分割始终指向最新结果。
- 额外配置: "results" 配置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_0-hero__Matter-0.1-Slim-7B-A", "harness_winogrande_5", split="train")
最新结果
- 时间戳: 2024-03-14T10:52:28.159269
- 详细结果: python { "all": { "acc": 0.605490033884534, "acc_stderr": 0.03326571312658935, "acc_norm": 0.6102815752899539, "acc_norm_stderr": 0.0339481142869132, "mc1": 0.2778457772337821, "mc1_stderr": 0.015680929364024647, "mc2": 0.4178982620141241, "mc2_stderr": 0.014144240439100468 }, "harness|arc:challenge|25": { "acc": 0.5733788395904437, "acc_stderr": 0.014453185592920293, "acc_norm": 0.6049488054607508, "acc_norm_stderr": 0.014285898292938169 }, "harness|hellaswag|10": { "acc": 0.6183031268671579, "acc_stderr": 0.004848099661619697, "acc_norm": 0.8132842063333997, "acc_norm_stderr": 0.003888868099629071 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, # 其他任务的结果... }
配置信息
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配置名称: harness_arc_challenge_25
- 分割: 2024_03_14T10_52_28.159269
- 路径: **/details_harness|arc:challenge|25_2024-03-14T10-52-28.159269.parquet
- 分割: latest
- 路径: **/details_harness|arc:challenge|25_2024-03-14T10-52-28.159269.parquet
- 分割: 2024_03_14T10_52_28.159269
-
配置名称: harness_gsm8k_5
- 分割: 2024_03_14T10_52_28.159269
- 路径: **/details_harness|gsm8k|5_2024-03-14T10-52-28.159269.parquet
- 分割: latest
- 路径: **/details_harness|gsm8k|5_2024-03-14T10-52-28.159269.parquet
- 分割: 2024_03_14T10_52_28.159269
-
配置名称: harness_hellaswag_10
- 分割: 2024_03_14T10_52_28.159269
- 路径: **/details_harness|hellaswag|10_2024-03-14T10-52-28.159269.parquet
- 分割: latest
- 路径: **/details_harness|hellaswag|10_2024-03-14T10-52-28.159269.parquet
- 分割: 2024_03_14T10_52_28.159269
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配置名称: harness_hendrycksTest_5
- 分割: 2024_03_14T10_52_28.159269
- 路径:
- **/details_harness|hendrycksTest-abstract_algebra|5_2024-03-14T10-52-28.159269.parquet
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- 路径:
- 分割: 2024_03_14T10_52_28.159269
