five

eval-DeepSeek-R1-0528

收藏
魔搭社区2025-12-05 更新2025-12-06 收录
下载链接:
https://modelscope.cn/datasets/NousResearch/eval-DeepSeek-R1-0528
下载链接
链接失效反馈
官方服务:
资源简介:
# r1-0528 Evaluation Results ## Summary | Benchmark | Score | Metric | Samples | Overlong rate | |-----------|-------|--------|---------|---------------| | aime24 | 0.865 | math_pass@1:64_samples | 64 | 0.0% | | aime25 | 0.831 | math_pass@1:64_samples | 64 | 0.0% | | arenahard | 0.951 | eval/overall_winrate | 500 | 0.0% | | bbh_generative | 0.894 | extractive_match | 1 | 0.0% | | creative-writing-v3 | 0.803 | creative_writing_score | 96 | 0.0% | | drop_generative_nous | 0.865 | drop_acc | 1 | 0.0% | | eqbench3 | 0.865 | eqbench_score | 135 | 0.0% | | gpqa_diamond | 0.781 | gpqa_pass@1:8_samples | 8 | 0.1% | | ifeval | 0.900 | inst_level_loose_acc | 1 | 0.0% | | lcb-v6-aug2024+ | 0.718 | eval/pass_1 | 1 | 0.2% | | math_500 | 0.975 | math_pass@1:4_samples | 4 | 0.7% | | mmlu_generative | 0.904 | extractive_match | 1 | 0.0% | | mmlu_pro | 0.843 | pass@1:1_samples | 1 | 0.0% | | musr_generative | 0.726 | extractive_match | 1 | 0.0% | | obqa_generative | 0.956 | extractive_match | 1 | 0.0% | | rewardbench | 0.701 | eval/percent_correct | 1 | 0.1% | | simpleqa_nous | 0.220 | fuzzy_match | 1 | 0.0% | Overlong rate: 28 / 64,523 samples (0.0%) missing closing `</think>` tag ## Detailed Results ### aime24 | Metric | Score | Std Error | |--------|-------|----------| | math_pass@1:1_samples | 0.900 | 0.056 | | math_pass@1:4_samples | 0.858 | 0.057 | | math_pass@1:8_samples | 0.879 | 0.051 | | math_pass@1:16_samples | 0.871 | 0.052 | | math_pass@1:32_samples | 0.866 | 0.050 | | math_pass@1:64_samples | 0.865 | 0.050 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 01:41:39 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 1920) ### aime25 | Metric | Score | Std Error | |--------|-------|----------| | math_pass@1:1_samples | 0.800 | 0.074 | | math_pass@1:4_samples | 0.833 | 0.063 | | math_pass@1:8_samples | 0.829 | 0.062 | | math_pass@1:16_samples | 0.833 | 0.058 | | math_pass@1:32_samples | 0.833 | 0.058 | | math_pass@1:64_samples | 0.831 | 0.057 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 04:05:22 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 1920) ### arenahard | Metric | Score | Std Error | |--------|-------|----------| | eval/overall_winrate | 0.951 | 0.000 | | eval/total_samples | 500.000 | 0.000 | | eval/win_count | 459.000 | 0.000 | | eval/tie_count | 31.000 | 0.000 | | eval/loss_count | 10.000 | 0.000 | | eval/win_rate | 0.918 | 0.000 | | eval/tie_rate | 0.062 | 0.000 | | eval/loss_rate | 0.020 | 0.000 | | eval/winrate_arena-hard-v0.1 | 0.951 | 0.000 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:11:04 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 500) ### bbh_generative | Metric | Score | Std Error | |--------|-------|----------| | extractive_match | 0.894 | 0.014 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:25:54 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 5511) ### creative-writing-v3 | Metric | Score | Std Error | |--------|-------|----------| | creative_writing_score | 0.803 | 0.000 | | num_samples | 96.000 | 0.000 | **Model:** r1-0528-thinking **Evaluation Time (hh:mm:ss):** N/A **Temperature:** N/A **Overlong samples:** 0.0% (0 / 96) ### drop_generative_nous | Metric | Score | Std Error | |--------|-------|----------| | drop_acc | 0.865 | 0.004 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:38:49 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 9536) ### eqbench3 | Metric | Score | Std Error | |--------|-------|----------| | eqbench_score | 0.865 | 0.000 | | num_samples | 135.000 | 0.000 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** N/A **Temperature:** N/A **Overlong samples:** 0.0% (0 / 135) ### gpqa_diamond | Metric | Score | Std Error | |--------|-------|----------| | gpqa_pass@1:1_samples | 0.788 | 0.029 | | gpqa_pass@1:4_samples | 0.782 | 0.025 | | gpqa_pass@1:8_samples | 0.781 | 0.025 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 01:34:37 **Temperature:** 0.6 **Overlong samples:** 0.1% (1 / 1584) ### ifeval | Metric | Score | Std Error | |--------|-------|----------| | prompt_level_strict_acc | 0.811 | 0.017 | | inst_level_strict_acc | 0.871 | 0.000 | | prompt_level_loose_acc | 0.848 | 0.015 | | inst_level_loose_acc | 0.900 | 0.000 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:07:00 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 541) ### lcb-v6-aug2024+ | Metric | Score | Std Error | |--------|-------|----------| | eval/pass_1 | 0.718 | 0.000 | | eval/easy_pass_1 | 0.983 | 0.000 | | eval/medium_pass_1 | 0.843 | 0.000 | | eval/hard_pass_1 | 0.487 | 0.000 | | eval/completion_length | 66098.651 | 0.000 | **Model:** r1-0528-final **Evaluation Time (hh:mm:ss):** 21:25:02 **Temperature:** N/A **Overlong samples:** 0.2% (11 / 7264) ### math_500 | Metric | Score | Std Error | |--------|-------|----------| | math_pass@1:1_samples | 0.974 | 0.007 | | math_pass@1:4_samples | 0.975 | 0.006 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:24:51 **Temperature:** 0.6 **Overlong samples:** 0.7% (13 / 2000) ### mmlu_generative | Metric | Score | Std Error | |--------|-------|----------| | extractive_match | 0.904 | 0.002 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 01:00:12 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 14042) ### mmlu_pro | Metric | Score | Std Error | |--------|-------|----------| | pass@1:1_samples | 0.843 | 0.003 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 01:17:36 **Temperature:** 0.6 **Overlong samples:** 0.0% (2 / 12032) ### musr_generative | Metric | Score | Std Error | |--------|-------|----------| | extractive_match | 0.726 | 0.027 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:05:36 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 756) ### obqa_generative | Metric | Score | Std Error | |--------|-------|----------| | extractive_match | 0.956 | 0.009 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:03:47 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 500) ### rewardbench | Metric | Score | Std Error | |--------|-------|----------| | eval/percent_correct | 0.701 | 0.000 | | eval/total_samples | 1865.000 | 0.000 | | eval/correct_samples | 1307.000 | 0.000 | | eval/format_compliance_rate | 0.999 | 0.000 | | eval/avg_response_length | 4454.774 | 0.000 | | eval/response_length_std | 1776.983 | 0.000 | | eval/judgment_entropy | 1.393 | 0.000 | | eval/most_common_judgment_freq | 0.255 | 0.000 | | eval/format_error_rate | 0.001 | 0.000 | | eval/avg_ties_rating | 3.526 | 0.000 | | eval/ties_error_rate | 0.243 | 0.000 | | eval/percent_correct_Factuality | 0.632 | 0.000 | | eval/percent_correct_Precise IF | 0.438 | 0.000 | | eval/percent_correct_Math | 0.820 | 0.000 | | eval/percent_correct_Safety | 0.620 | 0.000 | | eval/percent_correct_Focus | 0.848 | 0.000 | | eval/percent_correct_Ties | 0.863 | 0.000 | | eval/choice_samples | 1763.000 | 0.000 | | eval/ties_samples | 102.000 | 0.000 | | eval/choice_format_compliance_rate | 0.999 | 0.000 | | eval/ties_format_compliance_rate | 1.000 | 0.000 | | eval/wrong_answer_a_bias_rate | 0.270 | 0.000 | | eval/wrong_answer_total_count | 544.000 | 0.000 | | eval/wrong_answer_a_count | 147.000 | 0.000 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:15:37 **Temperature:** 0.6 **Overlong samples:** 0.1% (1 / 1865) ### simpleqa_nous | Metric | Score | Std Error | |--------|-------|----------| | exact_match | 0.167 | 0.006 | | fuzzy_match | 0.220 | 0.006 | **Model:** r1-0528 **Evaluation Time (hh:mm:ss):** 00:18:31 **Temperature:** 0.6 **Overlong samples:** 0.0% (0 / 4321)
提供机构:
maas
创建时间:
2025-08-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作