open-llm-leaderboard-old/details_vicgalle__Unsafe-Llama-3-8B
收藏数据集概述
数据集摘要
该数据集是在评估模型 vicgalle/Unsafe-Llama-3-8B 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
- data_files:
- split: 2024_04_20T03_11_22.791207
- path: **/details_harness|arc:challenge|25_2024-04-20T03-11-22.791207.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2024-04-20T03-11-22.791207.parquet
- split: 2024_04_20T03_11_22.791207
- data_files:
-
config_name: harness_gsm8k_5
- data_files:
- split: 2024_04_20T03_11_22.791207
- path: **/details_harness|gsm8k|5_2024-04-20T03-11-22.791207.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2024-04-20T03-11-22.791207.parquet
- split: 2024_04_20T03_11_22.791207
- data_files:
-
config_name: harness_hellaswag_10
- data_files:
- split: 2024_04_20T03_11_22.791207
- path: **/details_harness|hellaswag|10_2024-04-20T03-11-22.791207.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2024-04-20T03-11-22.791207.parquet
- split: 2024_04_20T03_11_22.791207
- data_files:
-
config_name: harness_hendrycksTest_5
- data_files:
- split: 2024_04_20T03_11_22.791207
- path:
- **/details_harness|hendrycksTest-abstract_algebra|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-anatomy|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-astronomy|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-business_ethics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_biology|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_chemistry|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_computer_science|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_mathematics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_medicine|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-college_physics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-computer_security|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-conceptual_physics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-econometrics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-electrical_engineering|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-formal_logic|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-global_facts|5_2024-04-20T03-11-22.791207.parquet
- **/details_harness|hendrycksTest-high_school_biology|5_2024-04-20T03-11-22.791207.parquet
- path:
- split: 2024_04_20T03_11_22.791207
- data_files:
最新结果
以下是 2024-04-20T03:11:22.791207 运行 的最新结果:
python { "all": { "acc": 0.6695181093158753, "acc_stderr": 0.03178052614925023, "acc_norm": 0.671944100954632, "acc_norm_stderr": 0.032416295516730045, "mc1": 0.35128518971848227, "mc1_stderr": 0.016711358163544403, "mc2": 0.5152137634663979, "mc2_stderr": 0.015138315333192051 }, "harness|arc:challenge|25": { "acc": 0.5870307167235495, "acc_stderr": 0.014388344935398324, "acc_norm": 0.6262798634812287, "acc_norm_stderr": 0.014137708601759084 }, "harness|hellaswag|10": { "acc": 0.5954989046006771, "acc_stderr": 0.004897921845492104, "acc_norm": 0.7972515435172276, "acc_norm_stderr": 0.0040122499391749165 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720386, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720386 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7039473684210527, "acc_stderr": 0.03715062154998905, "acc_norm": 0.7039473684210527, "acc_norm_stderr": 0.03715062154998905 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7471698113207547, "acc_stderr": 0.026749899771241207, "acc_norm": 0.7471698113207547, "acc_norm_stderr": 0.026749899771241207 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7986111111111112, "acc_stderr": 0.03353647469713839, "acc_norm": 0.7986111111111112, "acc_norm_stderr": 0.03353647469713839 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6416184971098265, "acc_stderr": 0.03656343653353159, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.03656343653353159 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5098039215686274, "acc_stderr": 0.04974229460422817, "acc_norm": 0.5098039215686274, "acc_norm_stderr": 0.04974229460422817 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909281, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909281 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6127659574468085, "acc_stderr": 0.03184389265339526, "acc_norm": 0.6127659574468085, "acc_norm_stderr": 0.03184389265339526 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5964912280701754, "acc_stderr": 0.04615186962583707, "acc_norm": 0.5964912280701754, "acc_norm_stderr": 0.04615186962583707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6413793103448275, "acc_stderr": 0.039966295748767186, "acc_norm": 0.6413793103448275, "acc



