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a/DeepSeek-R1-0528-Qwen3-8B/GSM-Plus/2025-07-23_19-17-07/entropy_acc_report_2025-07-23_19-17-07_mean.txt +++ /dev/null @@ -1,59 +0,0 @@ -outputs/DeepSeek-R1-0528-Qwen3-8B/GSM-Plus/2025-07-23_19-17-07, 2025-07-23_19-17-07, DeepSeek-R1-0528-Qwen3-8B, GSM-Plus - -mean - - ---- Analysis using 90th percentile entropy peaks --- -Number of valid samples: 1406 -Pearson correlation: -0.1595 (p=0.0000) -Spearman correlation: -0.1213 (p=0.0000) -Mean entropy measure: 1.4859 -Median entropy measure: 1.5047 -Max entropy measure: 1.6836 -Min entropy (percentile threshold): 1.0961 -Mean accuracy: 0.6811 -Median accuracy: 0.9375 -Entropy range: [1.0961, 1.6836] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99th percentile entropy peaks --- -Number of valid samples: 1406 -Pearson correlation: 0.0033 (p=0.9024) -Spearman correlation: 0.0568 (p=0.0333) -Mean entropy measure: 2.0787 -Median entropy measure: 2.0879 -Max entropy measure: 2.2325 -Min entropy (percentile threshold): 1.7167 -Mean accuracy: 0.6811 -Median accuracy: 0.9375 -Entropy range: [1.7167, 2.2325] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.5th percentile entropy peaks --- -Number of valid samples: 1406 -Pearson correlation: 0.0218 (p=0.4142) -Spearman correlation: 0.0730 (p=0.0061) -Mean entropy measure: 2.1888 -Median entropy measure: 2.1957 -Max entropy measure: 2.3466 -Min entropy (percentile threshold): 1.8268 -Mean accuracy: 0.6811 -Median accuracy: 0.9375 -Entropy range: [1.8268, 2.3466] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.9th percentile entropy peaks --- -Number of valid samples: 1406 -Pearson correlation: -0.0188 (p=0.4807) -Spearman correlation: 0.0395 (p=0.1386) -Mean entropy measure: 2.3608 -Median entropy measure: 2.3701 -Max entropy measure: 2.5158 -Min entropy (percentile threshold): 1.9991 -Mean accuracy: 0.6811 -Median accuracy: 0.9375 -Entropy range: [1.9991, 2.5158] -Accuracy range: [0.0000, 1.0000] diff --git 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b/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.json index bcef3cef5b50b8ff18a8ea4d90254c96fcf43315..91bead2c976cd69ba69ac8914eacd4b9b342cfaf 100644 --- a/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.json +++ b/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.json @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5110164a1f99f2ce6acfc2fea00e591273ac6c366642a705fbdf08b478d7d80d -size 83783762 +oid sha256:626a929422d99cac924983dd825c3c0dc0ee259aea24a7935cd9b1a5e68e7815 +size 87556202 diff --git a/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.jsonl b/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.jsonl index 84bf8205aae343e8a86015f23d5047af80067686..819cf6f5951d1b2fab072ffd21ebfe0f6da7080a 100644 --- a/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.jsonl +++ b/DeepSeek-R1-0528-Qwen3-8B/MATH-500/2025-09-02_06-38-37/2025-09-02_06-38-37_aware_results__th1.8.jsonl @@ -515,17 +515,17 @@ }, "status": { "state": "IN_PROGRESS", - "completed_sequences": 51, + "completed_sequences": 55, "total_sequences": 500, - "progress": "51/500" + "progress": "55/500" }, "extra": { "notes": "", - "generation_time_so_far (s)": 32975.39112329483 + "generation_time_so_far (s)": 34226.587015628815 }, "results": { - "avg_acc": 0.19607843137254902, - "pass_at_1": 0.19607843137254902, - "cons_at_max": 0.19607843137254902 + "avg_acc": 0.20397727272727273, + "pass_at_1": 0.21818181818181817, + "cons_at_max": 0.2 } } \ No newline at end of file diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/2025-07-05_10-33-50_default_results.json b/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/2025-07-05_10-33-50_default_results.json deleted file mode 100644 index afb86b461fd99df68736ba3ef1c827167ee55500..0000000000000000000000000000000000000000 --- a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/2025-07-05_10-33-50_default_results.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:41abb64b03e7d896a692426ab0c09f0444fd7d7a2ebf9ee1cebac18227f47328 -size 83163543 diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_max.txt b/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_max.txt deleted file mode 100644 index bcc8c95027fabacb0b5811f4f82b04cb0c7a4f72..0000000000000000000000000000000000000000 --- a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_max.txt +++ /dev/null @@ -1,87 +0,0 @@ -outputs/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50, 2025-07-05_10-33-50, DeepSeek-R1-Distill-Qwen-14B, AIME_2024 - -max - - ---- Analysis using 80th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 90th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 95th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.5th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.9th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2737 (p=0.1672) -Spearman correlation: -0.2898 (p=0.1426) -Mean entropy measure: 2.8638 -Median entropy measure: 2.8645 -Max entropy measure: 2.9287 -Min entropy (percentile threshold): 2.7891 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.7891, 2.9287] -Accuracy range: [0.0000, 1.0000] diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_mean.txt b/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_mean.txt deleted file mode 100644 index 8adf7d59301fe83d6ff654a7abcf97bc2d8e47a3..0000000000000000000000000000000000000000 --- a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_mean.txt +++ /dev/null @@ -1,129 +0,0 @@ -outputs/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50, 2025-07-05_10-33-50, DeepSeek-R1-Distill-Qwen-14B, AIME_2024 - -mean - - ---- Analysis using 0th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.4409 (p=0.0213) -Spearman correlation: -0.3343 (p=0.0883) -Mean entropy measure: 0.3247 -Median entropy measure: 0.3033 -Max entropy measure: 0.4735 -Min entropy (percentile threshold): 0.1750 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.1750, 0.4735] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 50th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3715 (p=0.0564) -Spearman correlation: -0.2836 (p=0.1517) -Mean entropy measure: 0.6188 -Median entropy measure: 0.5973 -Max entropy measure: 0.9347 -Min entropy (percentile threshold): 0.1785 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.1785, 0.9347] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 70th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.4229 (p=0.0280) -Spearman correlation: -0.3291 (p=0.0937) -Mean entropy measure: 0.9826 -Median entropy measure: 0.9604 -Max entropy measure: 1.2998 -Min entropy (percentile threshold): 0.5817 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.5817, 1.2998] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 80th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.4031 (p=0.0371) -Spearman correlation: -0.3650 (p=0.0612) -Mean entropy measure: 1.2278 -Median entropy measure: 1.2165 -Max entropy measure: 1.5385 -Min entropy (percentile threshold): 0.8305 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.8305, 1.5385] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 90th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3591 (p=0.0658) -Spearman correlation: -0.3869 (p=0.0462) -Mean entropy measure: 1.5830 -Median entropy measure: 1.5908 -Max entropy measure: 1.8690 -Min entropy (percentile threshold): 1.1856 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.1856, 1.8690] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 95th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3113 (p=0.1139) -Spearman correlation: -0.3743 (p=0.0544) -Mean entropy measure: 1.8722 -Median entropy measure: 1.8925 -Max entropy measure: 2.1162 -Min entropy (percentile threshold): 1.4866 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.4866, 2.1162] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.2126 (p=0.2871) -Spearman correlation: -0.2212 (p=0.2674) -Mean entropy measure: 2.3127 -Median entropy measure: 2.3247 -Max entropy measure: 2.4542 -Min entropy (percentile threshold): 1.9875 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.9875, 2.4542] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.5th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.1736 (p=0.3865) -Spearman correlation: -0.1718 (p=0.3916) -Mean entropy measure: 2.4290 -Median entropy measure: 2.4408 -Max entropy measure: 2.5415 -Min entropy (percentile threshold): 2.1332 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.1332, 2.5415] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.9th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.1396 (p=0.4872) -Spearman correlation: -0.1398 (p=0.4867) -Mean entropy measure: 2.6016 -Median entropy measure: 2.6006 -Max entropy measure: 2.6883 -Min entropy (percentile threshold): 2.3689 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.3689, 2.6883] -Accuracy range: [0.0000, 1.0000] diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_median.txt b/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_median.txt deleted file mode 100644 index f66fc36af69acdd3eb0c7580c8be4bfa3fb7176d..0000000000000000000000000000000000000000 --- a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_median.txt +++ /dev/null @@ -1,129 +0,0 @@ -outputs/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50, 2025-07-05_10-33-50, DeepSeek-R1-Distill-Qwen-14B, AIME_2024 - -median - - ---- Analysis using 0th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3714 (p=0.0564) -Spearman correlation: -0.2510 (p=0.2067) -Mean entropy measure: 0.0254 -Median entropy measure: 0.0014 -Max entropy measure: 0.1460 -Min entropy (percentile threshold): 0.0000 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.0000, 0.1460] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 50th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3386 (p=0.0840) -Spearman correlation: -0.2572 (p=0.1952) -Mean entropy measure: 0.4509 -Median entropy measure: 0.4406 -Max entropy measure: 0.8146 -Min entropy (percentile threshold): 0.0000 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.0000, 0.8146] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 70th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.4499 (p=0.0185) -Spearman correlation: -0.3506 (p=0.0730) -Mean entropy measure: 0.8644 -Median entropy measure: 0.8309 -Max entropy measure: 1.2007 -Min entropy (percentile threshold): 0.4814 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.4814, 1.2007] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 80th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.4143 (p=0.0317) -Spearman correlation: -0.3672 (p=0.0595) -Mean entropy measure: 1.1233 -Median entropy measure: 1.1062 -Max entropy measure: 1.4569 -Min entropy (percentile threshold): 0.7016 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.7016, 1.4569] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 90th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3584 (p=0.0664) -Spearman correlation: -0.3779 (p=0.0519) -Mean entropy measure: 1.5106 -Median entropy measure: 1.5104 -Max entropy measure: 1.8132 -Min entropy (percentile threshold): 1.0967 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.0967, 1.8132] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 95th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3068 (p=0.1196) -Spearman correlation: -0.3700 (p=0.0575) -Mean entropy measure: 1.8246 -Median entropy measure: 1.8524 -Max entropy measure: 2.0847 -Min entropy (percentile threshold): 1.4127 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.4127, 2.0847] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.1851 (p=0.3553) -Spearman correlation: -0.1601 (p=0.4251) -Mean entropy measure: 2.2971 -Median entropy measure: 2.3093 -Max entropy measure: 2.4437 -Min entropy (percentile threshold): 1.9559 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [1.9559, 2.4437] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.5th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.1269 (p=0.5280) -Spearman correlation: -0.1039 (p=0.6062) -Mean entropy measure: 2.4211 -Median entropy measure: 2.4398 -Max entropy measure: 2.5487 -Min entropy (percentile threshold): 2.1059 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.1059, 2.5487] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.9th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.0985 (p=0.6251) -Spearman correlation: -0.0737 (p=0.7147) -Mean entropy measure: 2.6008 -Median entropy measure: 2.6037 -Max entropy measure: 2.7221 -Min entropy (percentile threshold): 2.3460 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [2.3460, 2.7221] -Accuracy range: [0.0000, 1.0000] diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_std.txt b/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_std.txt deleted file mode 100644 index 0fd46ceb61d6ae3f9e61f6f2c3230cb31a62f00b..0000000000000000000000000000000000000000 --- a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/entropy_acc_report_2025-07-05_10-33-50_std.txt +++ /dev/null @@ -1,129 +0,0 @@ -outputs/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50, 2025-07-05_10-33-50, DeepSeek-R1-Distill-Qwen-14B, AIME_2024 - -std - - ---- Analysis using 0th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: -0.3810 (p=0.0499) -Spearman correlation: -0.4065 (p=0.0354) -Mean entropy measure: 0.5250 -Median entropy measure: 0.5248 -Max entropy measure: 0.6237 -Min entropy (percentile threshold): 0.3899 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.3899, 0.6237] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 50th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.0218 (p=0.9142) -Spearman correlation: 0.0587 (p=0.7712) -Mean entropy measure: 0.5723 -Median entropy measure: 0.5814 -Max entropy measure: 0.6200 -Min entropy (percentile threshold): 0.3930 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.3930, 0.6200] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 70th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.3941 (p=0.0419) -Spearman correlation: 0.2255 (p=0.2580) -Mean entropy measure: 0.5167 -Median entropy measure: 0.5216 -Max entropy measure: 0.5891 -Min entropy (percentile threshold): 0.4235 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.4235, 0.5891] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 80th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.3850 (p=0.0474) -Spearman correlation: 0.2243 (p=0.2607) -Mean entropy measure: 0.4578 -Median entropy measure: 0.4655 -Max entropy measure: 0.5495 -Min entropy (percentile threshold): 0.3717 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.3717, 0.5495] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 90th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.3646 (p=0.0615) -Spearman correlation: 0.2145 (p=0.2827) -Mean entropy measure: 0.3735 -Median entropy measure: 0.3880 -Max entropy measure: 0.4935 -Min entropy (percentile threshold): 0.2994 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.2994, 0.4935] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 95th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.3568 (p=0.0677) -Spearman correlation: 0.2756 (p=0.1641) -Mean entropy measure: 0.2951 -Median entropy measure: 0.3029 -Max entropy measure: 0.3997 -Min entropy (percentile threshold): 0.2259 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.2259, 0.3997] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.4211 (p=0.0287) -Spearman correlation: 0.4016 (p=0.0379) -Mean entropy measure: 0.1681 -Median entropy measure: 0.1642 -Max entropy measure: 0.2254 -Min entropy (percentile threshold): 0.1192 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.1192, 0.2254] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.5th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.4085 (p=0.0344) -Spearman correlation: 0.4259 (p=0.0268) -Mean entropy measure: 0.1363 -Median entropy measure: 0.1295 -Max entropy measure: 0.1869 -Min entropy (percentile threshold): 0.0914 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.0914, 0.1869] -Accuracy range: [0.0000, 1.0000] - - ---- Analysis using 99.9th percentile entropy peaks --- -Number of valid samples: 27 -Pearson correlation: 0.3556 (p=0.0687) -Spearman correlation: 0.2722 (p=0.1695) -Mean entropy measure: 0.0913 -Median entropy measure: 0.0850 -Max entropy measure: 0.1467 -Min entropy (percentile threshold): 0.0613 -Mean accuracy: 0.6238 -Median accuracy: 0.7500 -Entropy range: [0.0613, 0.1467] -Accuracy range: [0.0000, 1.0000] diff --git a/DeepSeek-R1-Distill-Qwen-14B/AIME_2024/2025-07-05_10-33-50/imgs/entropy_acc_scatter_0th_percentile_mean.png 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Defaulting to 'generate'. -INFO 07-27 03:55:27 [config.py:1472] Using max model len 32768 -INFO 07-27 03:55:27 [config.py:2285] Chunked prefill is enabled with max_num_batched_tokens=8192. -INFO 07-27 03:55:28 [core.py:526] Waiting for init message from front-end. -INFO 07-27 03:55:28 [core.py:69] Initializing a V1 LLM engine (v0.9.2) with config: model='Qwen/Qwen3-4B', speculative_config=None, tokenizer='Qwen/Qwen3-4B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=Qwen/Qwen3-4B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null} -INFO 07-27 03:55:30 [parallel_state.py:1076] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 07-27 03:55:30 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 07-27 03:55:30 [gpu_model_runner.py:1770] Starting to load model Qwen/Qwen3-4B... -INFO 07-27 03:55:30 [gpu_model_runner.py:1775] Loading model from scratch... -INFO 07-27 03:55:30 [cuda.py:284] Using Flash Attention backend on V1 engine. -INFO 07-27 03:55:31 [weight_utils.py:292] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/3 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - 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- Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home1/p313544/Documents/entropy-gen/src/main_vllm.py", line 560, in - fire.Fire(main) - File "/home1/p313544/Documents/entropy-gen/.venv/lib/python3.11/site-packages/fire/core.py", line 135, in Fire - component_trace = _Fire(component, args, parsed_flag_args, context, name) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home1/p313544/Documents/entropy-gen/.venv/lib/python3.11/site-packages/fire/core.py", line 468, in _Fire - component, remaining_args = _CallAndUpdateTrace( - ^^^^^^^^^^^^^^^^^^^^ - File "/home1/p313544/Documents/entropy-gen/.venv/lib/python3.11/site-packages/fire/core.py", line 684, in _CallAndUpdateTrace - component = fn(*varargs, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^ - File "/home1/p313544/Documents/entropy-gen/src/main_vllm.py", line 544, in main - run_and_evaluate_entropy( - File "/home1/p313544/Documents/entropy-gen/src/main_vllm.py", line 269, in run_and_evaluate_entropy - save_incremental_results( - File "/home1/p313544/Documents/entropy-gen/src/main_vllm.py", line 152, in save_incremental_results - with open(output_file, 'w') as f: -OSError: [Errno 28] No space left on device -Saving results to outputs/Qwen3-4B/GSM-Plus/2025-07-27_03-54-58/2025-07-27_03-54-58_aware_results__th2.3.json ... - -############################################################################### -Hábrók Cluster -Job 18650998 for user p313544 -Finished at: Mon Jul 28 15:04:29 CEST 2025 - -Job details: -============ - -Job ID : 18650998 -Name : entropy-gen -User : p313544 -Partition : gpulong -Nodes : a100gpu2 -Number of Nodes : 1 -Cores : 8 -Number of Tasks : 1 -State : COMPLETED -Submit : 2025-07-21T14:05:05 -Start : 2025-07-27T03:54:48 -End : 2025-07-28T15:04:24 -Reserved walltime : 1-11:50:00 -Used walltime : 1-11:09:36 -Used CPU time : 1-14:56:01 (Efficiency: 13.84%) -% User (Computation) : 98.24% -% System (I/O) : 1.76% -Total memory reserved : 80G -Maximum memory used : 3.83G -Requested GPUs : a100=1 -Allocated GPUs : a100=1 -Max GPU utilization : 97% -Max GPU memory used : 34.64G -Hints and tips : - 1) You requested much more CPU memory than your program used. - Please reduce the requested amount of memory. - *) For more information on these issues see: - https://wiki.hpc.rug.nl/habrok/additional_information/job_hints - -Acknowledgements: -================= - -Please see this page for information about acknowledging Hábrók in your publications: - -https://wiki.hpc.rug.nl/habrok/introduction/scientific_output - -################################################################################ diff --git a/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/2025-07-27_05-17-07_aware_results__th2.2.json b/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/2025-07-27_05-17-07_aware_results__th2.2.json deleted file mode 100644 index 265bb871ec334f39b37ec9ff1dfeaa7916d20ef3..0000000000000000000000000000000000000000 --- a/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/2025-07-27_05-17-07_aware_results__th2.2.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a5331f54060beb303519b5cd1b3074bb356b2d30d79962833052d45f5afb91e4 -size 474011880 diff --git a/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/entropy-gen.18651000.out b/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/entropy-gen.18651000.out deleted file mode 100644 index 1e59848df2455069bea586f7d5a2ebf9f488931e..0000000000000000000000000000000000000000 --- a/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07/entropy-gen.18651000.out +++ /dev/null @@ -1,14584 +0,0 @@ -The following modules were not unloaded: - (Use "module --force purge" to unload all): - - 1) 2023.01 2) StdEnv -INFO 07-27 05:17:19 [__init__.py:244] Automatically detected platform cuda. -Experiment directory: outputs/Qwen3-4B/GSM-Plus/2025-07-27_05-17-07 -Loading model with vLLM: Qwen/Qwen3-4B -INFO 07-27 05:17:33 [config.py:841] This model supports multiple tasks: {'classify', 'generate', 'embed', 'reward'}. Defaulting to 'generate'. -INFO 07-27 05:17:33 [config.py:1472] Using max model len 32768 -INFO 07-27 05:17:34 [config.py:2285] Chunked prefill is enabled with max_num_batched_tokens=8192. -INFO 07-27 05:17:35 [core.py:526] Waiting for init message from front-end. -INFO 07-27 05:17:35 [core.py:69] Initializing a V1 LLM engine (v0.9.2) with config: model='Qwen/Qwen3-4B', speculative_config=None, tokenizer='Qwen/Qwen3-4B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config={}, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_backend=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=Qwen/Qwen3-4B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"max_capture_size":512,"local_cache_dir":null} -INFO 07-27 05:17:36 [parallel_state.py:1076] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 07-27 05:17:36 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 07-27 05:17:36 [gpu_model_runner.py:1770] Starting to load model Qwen/Qwen3-4B... -INFO 07-27 05:17:37 [gpu_model_runner.py:1775] Loading model from scratch... -INFO 07-27 05:17:37 [cuda.py:284] Using Flash Attention backend on V1 engine. -INFO 07-27 05:17:37 [weight_utils.py:292] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/3 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - - Adding requests: 0%| | 0/16 [00:00 going to faster -inference mode. - 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