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  1. paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/RUN.json +557 -0
  2. paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/history.json +0 -0
  3. paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/milestones.json +62 -0
  4. paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/train.log +489 -0
paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/RUN.json ADDED
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4
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6
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7
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8
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9
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10
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11
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12
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13
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14
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15
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16
+ 2026-10-03T10:17:11 step 3500 train 0.10334 inner-val 0.10384 best 0.10384@3500 (197s) immicro=0.0990 ye2026_sepsis=0.1144 imperial_eskd=0.0996 liu2021=0.1024
17
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18
+ 2026-10-03T10:17:39 step 4000 train 0.10299 inner-val 0.10375 best 0.10375@4000 (226s) immicro=0.0989 ye2026_sepsis=0.1142 imperial_eskd=0.0995 liu2021=0.1023
19
+ 2026-10-03T10:17:54 step 4250 train 0.10337 inner-val 0.10371 best 0.10371@4250 (240s) immicro=0.0989 ye2026_sepsis=0.1142 imperial_eskd=0.0995 liu2021=0.1023
20
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21
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22
+ 2026-10-03T10:18:37 step 5000 train 0.10335 inner-val 0.10361 best 0.10361@5000 (283s) immicro=0.0988 ye2026_sepsis=0.1140 imperial_eskd=0.0994 liu2021=0.1023
23
+ 2026-10-03T10:18:51 step 5250 train 0.10296 inner-val 0.10358 best 0.10358@5250 (298s) immicro=0.0987 ye2026_sepsis=0.1140 imperial_eskd=0.0994 liu2021=0.1022
24
+ 2026-10-03T10:19:06 step 5500 train 0.10305 inner-val 0.10356 best 0.10356@5500 (312s) immicro=0.0987 ye2026_sepsis=0.1140 imperial_eskd=0.0993 liu2021=0.1022
25
+ 2026-10-03T10:19:20 step 5750 train 0.10262 inner-val 0.10353 best 0.10353@5750 (326s) immicro=0.0987 ye2026_sepsis=0.1139 imperial_eskd=0.0993 liu2021=0.1022
26
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27
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28
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29
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30
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31
+ 2026-10-03T10:20:45 step 7250 train 0.10314 inner-val 0.10341 best 0.10341@7250 (411s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1021
32
+ 2026-10-03T10:20:59 step 7500 train 0.10291 inner-val 0.10339 best 0.10339@7500 (425s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1021
33
+ 2026-10-03T10:21:12 step 7750 train 0.10274 inner-val 0.10337 best 0.10337@7750 (439s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1021
34
+ 2026-10-03T10:21:26 step 8000 train 0.10263 inner-val 0.10336 best 0.10336@8000 (453s) immicro=0.0985 ye2026_sepsis=0.1137 imperial_eskd=0.0992 liu2021=0.1021
35
+ 2026-10-03T10:21:40 step 8250 train 0.10293 inner-val 0.10335 best 0.10335@8250 (467s) immicro=0.0985 ye2026_sepsis=0.1137 imperial_eskd=0.0992 liu2021=0.1020
36
+ 2026-10-03T10:21:54 step 8500 train 0.10257 inner-val 0.10333 best 0.10333@8500 (481s) immicro=0.0984 ye2026_sepsis=0.1137 imperial_eskd=0.0992 liu2021=0.1020
37
+ 2026-10-03T10:22:08 step 8750 train 0.10286 inner-val 0.10332 best 0.10332@8750 (495s) immicro=0.0984 ye2026_sepsis=0.1137 imperial_eskd=0.0991 liu2021=0.1020
38
+ 2026-10-03T10:22:22 step 9000 train 0.10277 inner-val 0.10330 best 0.10330@9000 (509s) immicro=0.0984 ye2026_sepsis=0.1137 imperial_eskd=0.0991 liu2021=0.1020
39
+ 2026-10-03T10:22:37 step 9250 train 0.10266 inner-val 0.10329 best 0.10329@9250 (523s) immicro=0.0984 ye2026_sepsis=0.1137 imperial_eskd=0.0991 liu2021=0.1020
40
+ 2026-10-03T10:22:51 step 9500 train 0.10275 inner-val 0.10328 best 0.10328@9500 (538s) immicro=0.0984 ye2026_sepsis=0.1137 imperial_eskd=0.0991 liu2021=0.1020
41
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42
+ 2026-10-03T10:23:20 step 10000 train 0.10249 inner-val 0.10326 best 0.10326@10000 (566s) immicro=0.0984 ye2026_sepsis=0.1136 imperial_eskd=0.0991 liu2021=0.1020
43
+ 2026-10-03T10:23:34 step 10250 train 0.10264 inner-val 0.10324 best 0.10324@10250 (581s) immicro=0.0983 ye2026_sepsis=0.1136 imperial_eskd=0.0991 liu2021=0.1020
44
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45
+ 2026-10-03T10:24:03 step 10750 train 0.10273 inner-val 0.10322 best 0.10322@10750 (609s) immicro=0.0983 ye2026_sepsis=0.1136 imperial_eskd=0.0990 liu2021=0.1020
46
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47
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48
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49
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50
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51
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52
+ 2026-10-03T10:25:42 step 12500 train 0.10267 inner-val 0.10316 best 0.10316@12500 (709s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0990 liu2021=0.1019
53
+ 2026-10-03T10:25:56 step 12750 train 0.10253 inner-val 0.10315 best 0.10315@12750 (723s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0990 liu2021=0.1019
54
+ 2026-10-03T10:26:10 step 13000 train 0.10272 inner-val 0.10314 best 0.10314@13000 (737s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0990 liu2021=0.1019
55
+ 2026-10-03T10:26:24 step 13250 train 0.10268 inner-val 0.10313 best 0.10313@13250 (751s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0990 liu2021=0.1019
56
+ 2026-10-03T10:26:38 step 13500 train 0.10261 inner-val 0.10312 best 0.10312@13500 (765s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0989 liu2021=0.1019
57
+ 2026-10-03T10:26:52 step 13750 train 0.10264 inner-val 0.10311 best 0.10311@13750 (779s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0989 liu2021=0.1019
58
+ 2026-10-03T10:27:06 step 14000 train 0.10262 inner-val 0.10311 best 0.10311@14000 (793s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0989 liu2021=0.1019
59
+ 2026-10-03T10:27:20 step 14250 train 0.10228 inner-val 0.10310 best 0.10310@14250 (807s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0989 liu2021=0.1018
60
+ 2026-10-03T10:27:34 step 14500 train 0.10261 inner-val 0.10309 best 0.10309@14500 (821s) immicro=0.0982 ye2026_sepsis=0.1135 imperial_eskd=0.0989 liu2021=0.1018
61
+ 2026-10-03T10:27:48 step 14750 train 0.10248 inner-val 0.10308 best 0.10308@14750 (835s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
62
+ 2026-10-03T10:28:02 step 15000 train 0.10253 inner-val 0.10308 best 0.10308@15000 (849s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
63
+ 2026-10-03T10:28:16 step 15250 train 0.10233 inner-val 0.10307 best 0.10307@15250 (863s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
64
+ 2026-10-03T10:28:30 step 15500 train 0.10254 inner-val 0.10306 best 0.10306@15500 (877s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
65
+ 2026-10-03T10:28:44 step 15750 train 0.10225 inner-val 0.10305 best 0.10305@15750 (891s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
66
+ 2026-10-03T10:28:58 step 16000 train 0.10226 inner-val 0.10305 best 0.10305@16000 (905s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
67
+ 2026-10-03T10:29:12 step 16250 train 0.10254 inner-val 0.10304 best 0.10304@16250 (919s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
68
+ 2026-10-03T10:29:26 step 16500 train 0.10246 inner-val 0.10303 best 0.10303@16500 (933s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0989 liu2021=0.1018
69
+ 2026-10-03T10:29:40 step 16750 train 0.10213 inner-val 0.10302 best 0.10302@16750 (946s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1018
70
+ 2026-10-03T10:29:54 step 17000 train 0.10250 inner-val 0.10301 best 0.10301@17000 (960s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1018
71
+ 2026-10-03T10:30:08 step 17250 train 0.10245 inner-val 0.10301 best 0.10301@17250 (974s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1018
72
+ 2026-10-03T10:30:22 step 17500 train 0.10220 inner-val 0.10300 best 0.10300@17500 (988s) immicro=0.0981 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1018
73
+ 2026-10-03T10:30:36 step 17750 train 0.10209 inner-val 0.10300 best 0.10300@17750 (1002s) immicro=0.0980 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1017
74
+ 2026-10-03T10:30:50 step 18000 train 0.10273 inner-val 0.10299 best 0.10299@18000 (1016s) immicro=0.0980 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1017
75
+ 2026-10-03T10:31:04 step 18250 train 0.10198 inner-val 0.10298 best 0.10298@18250 (1030s) immicro=0.0980 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1017
76
+ 2026-10-03T10:31:18 step 18500 train 0.10243 inner-val 0.10298 best 0.10298@18500 (1045s) immicro=0.0980 ye2026_sepsis=0.1134 imperial_eskd=0.0988 liu2021=0.1017
77
+ 2026-10-03T10:31:33 step 18750 train 0.10209 inner-val 0.10297 best 0.10297@18750 (1059s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
78
+ 2026-10-03T10:31:47 step 19000 train 0.10221 inner-val 0.10296 best 0.10296@19000 (1074s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
79
+ 2026-10-03T10:32:01 step 19250 train 0.10225 inner-val 0.10295 best 0.10295@19250 (1088s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
80
+ 2026-10-03T10:32:16 step 19500 train 0.10218 inner-val 0.10295 best 0.10295@19500 (1102s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
81
+ 2026-10-03T10:32:30 step 19750 train 0.10239 inner-val 0.10294 best 0.10294@19750 (1116s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
82
+ 2026-10-03T10:32:43 step 20000 train 0.10236 inner-val 0.10294 best 0.10294@20000 (1130s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
83
+ 2026-10-03T10:32:45 block end 20000: best 0.10294@20000; block improvement 0.009560 (100.00 % of total 0.009560) -> continue
84
+ 2026-10-03T10:32:58 step 20250 train 0.10204 inner-val 0.10294 best 0.10294@20250 (1144s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
85
+ 2026-10-03T10:33:12 step 20500 train 0.10209 inner-val 0.10293 best 0.10293@20500 (1158s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
86
+ 2026-10-03T10:33:26 step 20750 train 0.10224 inner-val 0.10292 best 0.10292@20750 (1173s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0988 liu2021=0.1017
87
+ 2026-10-03T10:33:40 step 21000 train 0.10212 inner-val 0.10292 best 0.10292@21000 (1186s) immicro=0.0980 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
88
+ 2026-10-03T10:33:53 step 21250 train 0.10216 inner-val 0.10291 best 0.10291@21250 (1199s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
89
+ 2026-10-03T10:34:07 step 21500 train 0.10195 inner-val 0.10290 best 0.10290@21500 (1213s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
90
+ 2026-10-03T10:34:21 step 21750 train 0.10232 inner-val 0.10290 best 0.10290@21750 (1227s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
91
+ 2026-10-03T10:34:34 step 22000 train 0.10228 inner-val 0.10289 best 0.10289@22000 (1241s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
92
+ 2026-10-03T10:34:48 step 22250 train 0.10214 inner-val 0.10289 best 0.10289@22250 (1254s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
93
+ 2026-10-03T10:35:01 step 22500 train 0.10210 inner-val 0.10289 best 0.10289@22500 (1268s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
94
+ 2026-10-03T10:35:14 step 22750 train 0.10194 inner-val 0.10288 best 0.10288@22750 (1280s) immicro=0.0979 ye2026_sepsis=0.1133 imperial_eskd=0.0987 liu2021=0.1017
95
+ 2026-10-03T10:35:26 step 23000 train 0.10253 inner-val 0.10287 best 0.10287@23000 (1293s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
96
+ 2026-10-03T10:35:39 step 23250 train 0.10242 inner-val 0.10287 best 0.10287@23250 (1306s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
97
+ 2026-10-03T10:35:52 step 23500 train 0.10209 inner-val 0.10286 best 0.10286@23500 (1318s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
98
+ 2026-10-03T10:36:04 step 23750 train 0.10206 inner-val 0.10285 best 0.10285@23750 (1331s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
99
+ 2026-10-03T10:36:17 step 24000 train 0.10209 inner-val 0.10285 best 0.10285@24000 (1344s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
100
+ 2026-10-03T10:36:30 step 24250 train 0.10186 inner-val 0.10284 best 0.10284@24250 (1356s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
101
+ 2026-10-03T10:36:43 step 24500 train 0.10187 inner-val 0.10284 best 0.10284@24500 (1369s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
102
+ 2026-10-03T10:36:56 step 24750 train 0.10198 inner-val 0.10283 best 0.10283@24750 (1382s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
103
+ 2026-10-03T10:37:09 step 25000 train 0.10175 inner-val 0.10283 best 0.10283@25000 (1396s) immicro=0.0979 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
104
+ 2026-10-03T10:37:22 step 25250 train 0.10186 inner-val 0.10282 best 0.10282@25250 (1409s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
105
+ 2026-10-03T10:37:36 step 25500 train 0.10207 inner-val 0.10282 best 0.10282@25500 (1422s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
106
+ 2026-10-03T10:37:49 step 25750 train 0.10185 inner-val 0.10282 best 0.10282@25750 (1435s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
107
+ 2026-10-03T10:38:02 step 26000 train 0.10189 inner-val 0.10281 best 0.10281@26000 (1448s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0987 liu2021=0.1016
108
+ 2026-10-03T10:38:15 step 26250 train 0.10211 inner-val 0.10281 best 0.10281@26250 (1462s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
109
+ 2026-10-03T10:38:28 step 26500 train 0.10223 inner-val 0.10280 best 0.10280@26500 (1475s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
110
+ 2026-10-03T10:38:42 step 26750 train 0.10192 inner-val 0.10280 best 0.10280@26750 (1488s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
111
+ 2026-10-03T10:38:55 step 27000 train 0.10224 inner-val 0.10279 best 0.10279@27000 (1501s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
112
+ 2026-10-03T10:39:08 step 27250 train 0.10214 inner-val 0.10279 best 0.10279@27250 (1514s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
113
+ 2026-10-03T10:39:21 step 27500 train 0.10199 inner-val 0.10279 best 0.10279@27500 (1527s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
114
+ 2026-10-03T10:39:34 step 27750 train 0.10192 inner-val 0.10278 best 0.10278@27750 (1540s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
115
+ 2026-10-03T10:39:47 step 28000 train 0.10192 inner-val 0.10278 best 0.10278@28000 (1554s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1016
116
+ 2026-10-03T10:40:00 step 28250 train 0.10199 inner-val 0.10277 best 0.10277@28250 (1567s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1015
117
+ 2026-10-03T10:40:13 step 28500 train 0.10190 inner-val 0.10277 best 0.10277@28500 (1580s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1015
118
+ 2026-10-03T10:40:26 step 28750 train 0.10178 inner-val 0.10277 best 0.10277@28750 (1592s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1015
119
+ 2026-10-03T10:40:38 step 29000 train 0.10202 inner-val 0.10276 best 0.10276@29000 (1605s) immicro=0.0978 ye2026_sepsis=0.1132 imperial_eskd=0.0986 liu2021=0.1015
120
+ 2026-10-03T10:40:51 step 29250 train 0.10206 inner-val 0.10276 best 0.10276@29250 (1617s) immicro=0.0978 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
121
+ 2026-10-03T10:41:03 step 29500 train 0.10169 inner-val 0.10275 best 0.10275@29500 (1630s) immicro=0.0978 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
122
+ 2026-10-03T10:41:16 step 29750 train 0.10184 inner-val 0.10275 best 0.10275@29750 (1643s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
123
+ 2026-10-03T10:41:29 step 30000 train 0.10173 inner-val 0.10274 best 0.10274@30000 (1656s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
124
+ 2026-10-03T10:41:44 step 30250 train 0.10159 inner-val 0.10274 best 0.10274@30250 (1670s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
125
+ 2026-10-03T10:41:58 step 30500 train 0.10164 inner-val 0.10274 best 0.10274@30500 (1684s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
126
+ 2026-10-03T10:42:12 step 30750 train 0.10186 inner-val 0.10273 best 0.10273@30750 (1699s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
127
+ 2026-10-03T10:42:27 step 31000 train 0.10152 inner-val 0.10273 best 0.10273@31000 (1713s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
128
+ 2026-10-03T10:42:41 step 31250 train 0.10193 inner-val 0.10272 best 0.10272@31250 (1727s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
129
+ 2026-10-03T10:42:55 step 31500 train 0.10154 inner-val 0.10272 best 0.10272@31500 (1742s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0986 liu2021=0.1015
130
+ 2026-10-03T10:43:10 step 31750 train 0.10196 inner-val 0.10272 best 0.10272@31750 (1756s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
131
+ 2026-10-03T10:43:24 step 32000 train 0.10186 inner-val 0.10272 best 0.10272@32000 (1770s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
132
+ 2026-10-03T10:43:38 step 32250 train 0.10185 inner-val 0.10271 best 0.10271@32250 (1785s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
133
+ 2026-10-03T10:43:53 step 32500 train 0.10155 inner-val 0.10271 best 0.10271@32500 (1799s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
134
+ 2026-10-03T10:44:07 step 32750 train 0.10194 inner-val 0.10270 best 0.10270@32750 (1814s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
135
+ 2026-10-03T10:44:21 step 33000 train 0.10177 inner-val 0.10270 best 0.10270@33000 (1828s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
136
+ 2026-10-03T10:44:36 step 33250 train 0.10172 inner-val 0.10270 best 0.10270@33250 (1842s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
137
+ 2026-10-03T10:44:50 step 33500 train 0.10173 inner-val 0.10269 best 0.10269@33500 (1857s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
138
+ 2026-10-03T10:45:05 step 33750 train 0.10177 inner-val 0.10269 best 0.10269@33750 (1871s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
139
+ 2026-10-03T10:45:19 step 34000 train 0.10191 inner-val 0.10268 best 0.10268@34000 (1886s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
140
+ 2026-10-03T10:45:34 step 34250 train 0.10181 inner-val 0.10268 best 0.10268@34250 (1900s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
141
+ 2026-10-03T10:45:46 step 34500 train 0.10182 inner-val 0.10268 best 0.10268@34250 (1914s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
142
+ 2026-10-03T10:46:00 step 34750 train 0.10188 inner-val 0.10268 best 0.10268@34750 (1927s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1015
143
+ 2026-10-03T10:46:15 step 35000 train 0.10194 inner-val 0.10268 best 0.10268@35000 (1941s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
144
+ 2026-10-03T10:46:29 step 35250 train 0.10147 inner-val 0.10267 best 0.10267@35250 (1956s) immicro=0.0977 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
145
+ 2026-10-03T10:46:44 step 35500 train 0.10199 inner-val 0.10267 best 0.10267@35500 (1970s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
146
+ 2026-10-03T10:46:58 step 35750 train 0.10178 inner-val 0.10267 best 0.10267@35750 (1985s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
147
+ 2026-10-03T10:47:13 step 36000 train 0.10175 inner-val 0.10267 best 0.10267@36000 (1999s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
148
+ 2026-10-03T10:47:27 step 36250 train 0.10192 inner-val 0.10266 best 0.10266@36250 (2014s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
149
+ 2026-10-03T10:47:42 step 36500 train 0.10151 inner-val 0.10266 best 0.10266@36500 (2028s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
150
+ 2026-10-03T10:47:56 step 36750 train 0.10176 inner-val 0.10265 best 0.10265@36750 (2043s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
151
+ 2026-10-03T10:48:11 step 37000 train 0.10156 inner-val 0.10265 best 0.10265@37000 (2057s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
152
+ 2026-10-03T10:48:25 step 37250 train 0.10169 inner-val 0.10265 best 0.10265@37250 (2071s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
153
+ 2026-10-03T10:48:39 step 37500 train 0.10182 inner-val 0.10264 best 0.10264@37500 (2085s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
154
+ 2026-10-03T10:48:54 step 37750 train 0.10172 inner-val 0.10264 best 0.10264@37750 (2100s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
155
+ 2026-10-03T10:49:08 step 38000 train 0.10184 inner-val 0.10263 best 0.10263@38000 (2114s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
156
+ 2026-10-03T10:49:23 step 38250 train 0.10176 inner-val 0.10263 best 0.10263@38250 (2129s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
157
+ 2026-10-03T10:49:36 step 38500 train 0.10175 inner-val 0.10263 best 0.10263@38250 (2143s) immicro=0.0976 ye2026_sepsis=0.1131 imperial_eskd=0.0985 liu2021=0.1014
158
+ 2026-10-03T10:49:50 step 38750 train 0.10167 inner-val 0.10263 best 0.10263@38750 (2156s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
159
+ 2026-10-03T10:50:05 step 39000 train 0.10172 inner-val 0.10262 best 0.10262@39000 (2171s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
160
+ 2026-10-03T10:50:19 step 39250 train 0.10164 inner-val 0.10262 best 0.10262@39250 (2185s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
161
+ 2026-10-03T10:50:34 step 39500 train 0.10173 inner-val 0.10262 best 0.10262@39500 (2200s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
162
+ 2026-10-03T10:50:48 step 39750 train 0.10169 inner-val 0.10261 best 0.10261@39750 (2214s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
163
+ 2026-10-03T10:51:01 step 40000 train 0.10152 inner-val 0.10261 best 0.10261@39750 (2229s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1014
164
+ 2026-10-03T10:51:03 block end 40000: best 0.10261@39750; block improvement 0.000326 (3.29 % of total 0.009885) -> continue
165
+ 2026-10-03T10:51:18 step 40250 train 0.10168 inner-val 0.10261 best 0.10261@40250 (2244s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
166
+ 2026-10-03T10:51:32 step 40500 train 0.10162 inner-val 0.10260 best 0.10260@40500 (2258s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
167
+ 2026-10-03T10:51:47 step 40750 train 0.10135 inner-val 0.10260 best 0.10260@40750 (2273s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
168
+ 2026-10-03T10:52:01 step 41000 train 0.10144 inner-val 0.10260 best 0.10260@41000 (2288s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
169
+ 2026-10-03T10:52:14 step 41250 train 0.10161 inner-val 0.10260 best 0.10260@41000 (2302s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
170
+ 2026-10-03T10:52:28 step 41500 train 0.10169 inner-val 0.10260 best 0.10260@41500 (2315s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0985 liu2021=0.1013
171
+ 2026-10-03T10:52:43 step 41750 train 0.10165 inner-val 0.10259 best 0.10259@41750 (2329s) immicro=0.0976 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
172
+ 2026-10-03T10:52:57 step 42000 train 0.10141 inner-val 0.10259 best 0.10259@42000 (2344s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
173
+ 2026-10-03T10:53:12 step 42250 train 0.10148 inner-val 0.10258 best 0.10258@42250 (2358s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
174
+ 2026-10-03T10:53:26 step 42500 train 0.10167 inner-val 0.10258 best 0.10258@42500 (2372s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
175
+ 2026-10-03T10:53:40 step 42750 train 0.10139 inner-val 0.10258 best 0.10258@42750 (2387s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
176
+ 2026-10-03T10:53:55 step 43000 train 0.10125 inner-val 0.10258 best 0.10258@43000 (2401s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
177
+ 2026-10-03T10:54:09 step 43250 train 0.10178 inner-val 0.10257 best 0.10257@43250 (2416s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
178
+ 2026-10-03T10:54:24 step 43500 train 0.10177 inner-val 0.10257 best 0.10257@43500 (2430s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
179
+ 2026-10-03T10:54:38 step 43750 train 0.10180 inner-val 0.10257 best 0.10257@43750 (2444s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
180
+ 2026-10-03T10:54:51 step 44000 train 0.10134 inner-val 0.10257 best 0.10257@43750 (2459s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
181
+ 2026-10-03T10:55:06 step 44250 train 0.10165 inner-val 0.10256 best 0.10256@44250 (2472s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
182
+ 2026-10-03T10:55:20 step 44500 train 0.10166 inner-val 0.10256 best 0.10256@44500 (2486s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
183
+ 2026-10-03T10:55:33 step 44750 train 0.10153 inner-val 0.10256 best 0.10256@44500 (2500s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
184
+ 2026-10-03T10:55:45 step 45000 train 0.10159 inner-val 0.10256 best 0.10256@44500 (2513s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
185
+ 2026-10-03T10:55:58 step 45250 train 0.10169 inner-val 0.10256 best 0.10256@44500 (2526s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
186
+ 2026-10-03T10:56:13 step 45500 train 0.10211 inner-val 0.10255 best 0.10255@45500 (2539s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
187
+ 2026-10-03T10:56:27 step 45750 train 0.10141 inner-val 0.10255 best 0.10255@45750 (2553s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
188
+ 2026-10-03T10:56:40 step 46000 train 0.10186 inner-val 0.10255 best 0.10255@45750 (2568s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
189
+ 2026-10-03T10:56:54 step 46250 train 0.10158 inner-val 0.10255 best 0.10255@46250 (2581s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
190
+ 2026-10-03T10:57:09 step 46500 train 0.10160 inner-val 0.10254 best 0.10254@46500 (2595s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
191
+ 2026-10-03T10:57:23 step 46750 train 0.10132 inner-val 0.10254 best 0.10254@46750 (2609s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
192
+ 2026-10-03T10:57:37 step 47000 train 0.10137 inner-val 0.10254 best 0.10254@47000 (2624s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
193
+ 2026-10-03T10:57:51 step 47250 train 0.10145 inner-val 0.10253 best 0.10253@47250 (2638s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
194
+ 2026-10-03T10:58:06 step 47500 train 0.10157 inner-val 0.10253 best 0.10253@47500 (2652s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
195
+ 2026-10-03T10:58:20 step 47750 train 0.10150 inner-val 0.10252 best 0.10252@47750 (2666s) immicro=0.0975 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
196
+ 2026-10-03T10:58:35 step 48000 train 0.10167 inner-val 0.10252 best 0.10252@48000 (2681s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
197
+ 2026-10-03T10:58:49 step 48250 train 0.10158 inner-val 0.10252 best 0.10252@48250 (2695s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
198
+ 2026-10-03T10:59:02 step 48500 train 0.10147 inner-val 0.10252 best 0.10252@48250 (2710s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
199
+ 2026-10-03T10:59:16 step 48750 train 0.10126 inner-val 0.10252 best 0.10252@48750 (2722s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
200
+ 2026-10-03T10:59:29 step 49000 train 0.10159 inner-val 0.10251 best 0.10252@48750 (2737s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
201
+ 2026-10-03T10:59:43 step 49250 train 0.10151 inner-val 0.10251 best 0.10251@49250 (2750s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
202
+ 2026-10-03T10:59:58 step 49500 train 0.10132 inner-val 0.10251 best 0.10251@49500 (2764s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
203
+ 2026-10-03T11:00:13 step 49750 train 0.10155 inner-val 0.10251 best 0.10251@49750 (2779s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
204
+ 2026-10-03T11:00:27 step 50000 train 0.10091 inner-val 0.10250 best 0.10250@50000 (2793s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
205
+ 2026-10-03T11:00:41 step 50250 train 0.10119 inner-val 0.10250 best 0.10250@50250 (2808s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
206
+ 2026-10-03T11:00:56 step 50500 train 0.10157 inner-val 0.10250 best 0.10250@50500 (2822s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
207
+ 2026-10-03T11:01:08 step 50750 train 0.10118 inner-val 0.10250 best 0.10250@50500 (2836s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
208
+ 2026-10-03T11:01:23 step 51000 train 0.10151 inner-val 0.10249 best 0.10249@51000 (2849s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0984 liu2021=0.1013
209
+ 2026-10-03T11:01:37 step 51250 train 0.10142 inner-val 0.10249 best 0.10249@51250 (2864s) immicro=0.0974 ye2026_sepsis=0.1130 imperial_eskd=0.0983 liu2021=0.1012
210
+ 2026-10-03T11:01:52 step 51500 train 0.10129 inner-val 0.10249 best 0.10249@51500 (2878s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
211
+ 2026-10-03T11:02:06 step 51750 train 0.10152 inner-val 0.10248 best 0.10248@51750 (2892s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
212
+ 2026-10-03T11:02:20 step 52000 train 0.10164 inner-val 0.10248 best 0.10248@52000 (2907s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
213
+ 2026-10-03T11:02:33 step 52250 train 0.10157 inner-val 0.10248 best 0.10248@52000 (2921s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
214
+ 2026-10-03T11:02:48 step 52500 train 0.10178 inner-val 0.10247 best 0.10247@52500 (2934s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
215
+ 2026-10-03T11:03:02 step 52750 train 0.10164 inner-val 0.10247 best 0.10247@52750 (2948s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
216
+ 2026-10-03T11:03:16 step 53000 train 0.10116 inner-val 0.10247 best 0.10247@53000 (2962s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
217
+ 2026-10-03T11:03:29 step 53250 train 0.10135 inner-val 0.10247 best 0.10247@53000 (2977s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
218
+ 2026-10-03T11:03:43 step 53500 train 0.10133 inner-val 0.10246 best 0.10246@53500 (2990s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
219
+ 2026-10-03T11:03:56 step 53750 train 0.10135 inner-val 0.10246 best 0.10246@53500 (3004s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
220
+ 2026-10-03T11:04:10 step 54000 train 0.10122 inner-val 0.10246 best 0.10246@54000 (3017s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
221
+ 2026-10-03T11:04:25 step 54250 train 0.10166 inner-val 0.10246 best 0.10246@54250 (3031s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
222
+ 2026-10-03T11:04:39 step 54500 train 0.10133 inner-val 0.10245 best 0.10245@54500 (3045s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
223
+ 2026-10-03T11:04:53 step 54750 train 0.10108 inner-val 0.10245 best 0.10245@54750 (3060s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
224
+ 2026-10-03T11:05:08 step 55000 train 0.10135 inner-val 0.10245 best 0.10245@55000 (3074s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
225
+ 2026-10-03T11:05:22 step 55250 train 0.10114 inner-val 0.10244 best 0.10244@55250 (3088s) immicro=0.0974 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
226
+ 2026-10-03T11:05:35 step 55500 train 0.10136 inner-val 0.10245 best 0.10244@55250 (3103s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
227
+ 2026-10-03T11:05:48 step 55750 train 0.10141 inner-val 0.10244 best 0.10244@55250 (3116s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
228
+ 2026-10-03T11:06:02 step 56000 train 0.10124 inner-val 0.10244 best 0.10244@56000 (3128s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
229
+ 2026-10-03T11:06:17 step 56250 train 0.10149 inner-val 0.10244 best 0.10244@56250 (3143s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
230
+ 2026-10-03T11:06:31 step 56500 train 0.10113 inner-val 0.10244 best 0.10244@56500 (3158s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
231
+ 2026-10-03T11:06:46 step 56750 train 0.10117 inner-val 0.10243 best 0.10243@56750 (3172s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
232
+ 2026-10-03T11:07:00 step 57000 train 0.10130 inner-val 0.10243 best 0.10243@57000 (3187s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
233
+ 2026-10-03T11:07:15 step 57250 train 0.10164 inner-val 0.10243 best 0.10243@57250 (3201s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
234
+ 2026-10-03T11:07:28 step 57500 train 0.10128 inner-val 0.10243 best 0.10243@57250 (3216s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
235
+ 2026-10-03T11:07:42 step 57750 train 0.10094 inner-val 0.10242 best 0.10242@57750 (3228s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
236
+ 2026-10-03T11:07:56 step 58000 train 0.10116 inner-val 0.10242 best 0.10242@58000 (3243s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
237
+ 2026-10-03T11:08:10 step 58250 train 0.10135 inner-val 0.10242 best 0.10242@58250 (3257s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
238
+ 2026-10-03T11:08:23 step 58500 train 0.10150 inner-val 0.10242 best 0.10242@58250 (3271s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
239
+ 2026-10-03T11:08:36 step 58750 train 0.10167 inner-val 0.10242 best 0.10242@58250 (3284s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
240
+ 2026-10-03T11:08:50 step 59000 train 0.10151 inner-val 0.10241 best 0.10241@59000 (3297s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
241
+ 2026-10-03T11:09:05 step 59250 train 0.10118 inner-val 0.10241 best 0.10241@59250 (3311s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
242
+ 2026-10-03T11:09:19 step 59500 train 0.10112 inner-val 0.10241 best 0.10241@59500 (3325s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
243
+ 2026-10-03T11:09:32 step 59750 train 0.10163 inner-val 0.10241 best 0.10241@59500 (3340s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
244
+ 2026-10-03T11:09:46 step 60000 train 0.10104 inner-val 0.10240 best 0.10240@60000 (3352s) immicro=0.0973 ye2026_sepsis=0.1129 imperial_eskd=0.0983 liu2021=0.1012
245
+ 2026-10-03T11:09:48 block end 60000: best 0.10240@60000; block improvement 0.000210 (2.08 % of total 0.010095) -> continue
246
+ 2026-10-03T11:10:02 step 60250 train 0.10117 inner-val 0.10240 best 0.10240@60250 (3369s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
247
+ 2026-10-03T11:10:16 step 60500 train 0.10137 inner-val 0.10240 best 0.10240@60500 (3383s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
248
+ 2026-10-03T11:10:30 step 60750 train 0.10094 inner-val 0.10240 best 0.10240@60750 (3397s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
249
+ 2026-10-03T11:10:43 step 61000 train 0.10154 inner-val 0.10240 best 0.10240@60750 (3411s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
250
+ 2026-10-03T11:10:56 step 61250 train 0.10152 inner-val 0.10240 best 0.10240@60750 (3424s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
251
+ 2026-10-03T11:11:10 step 61500 train 0.10123 inner-val 0.10239 best 0.10239@61500 (3437s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
252
+ 2026-10-03T11:11:25 step 61750 train 0.10133 inner-val 0.10239 best 0.10239@61750 (3451s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
253
+ 2026-10-03T11:11:39 step 62000 train 0.10125 inner-val 0.10239 best 0.10239@62000 (3466s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0983 liu2021=0.1012
254
+ 2026-10-03T11:11:54 step 62250 train 0.10114 inner-val 0.10239 best 0.10239@62250 (3480s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
255
+ 2026-10-03T11:12:08 step 62500 train 0.10118 inner-val 0.10238 best 0.10238@62500 (3494s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
256
+ 2026-10-03T11:12:22 step 62750 train 0.10118 inner-val 0.10238 best 0.10238@62750 (3509s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
257
+ 2026-10-03T11:12:35 step 63000 train 0.10111 inner-val 0.10238 best 0.10238@62750 (3523s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
258
+ 2026-10-03T11:12:50 step 63250 train 0.10153 inner-val 0.10238 best 0.10238@63250 (3536s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
259
+ 2026-10-03T11:13:03 step 63500 train 0.10119 inner-val 0.10238 best 0.10238@63250 (3550s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
260
+ 2026-10-03T11:13:15 step 63750 train 0.10140 inner-val 0.10238 best 0.10238@63250 (3563s) immicro=0.0973 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
261
+ 2026-10-03T11:13:30 step 64000 train 0.10128 inner-val 0.10238 best 0.10238@64000 (3576s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
262
+ 2026-10-03T11:13:44 step 64250 train 0.10129 inner-val 0.10237 best 0.10237@64250 (3591s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
263
+ 2026-10-03T11:13:58 step 64500 train 0.10127 inner-val 0.10237 best 0.10237@64500 (3605s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
264
+ 2026-10-03T11:14:11 step 64750 train 0.10142 inner-val 0.10237 best 0.10237@64500 (3619s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
265
+ 2026-10-03T11:14:26 step 65000 train 0.10143 inner-val 0.10237 best 0.10237@65000 (3632s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
266
+ 2026-10-03T11:14:40 step 65250 train 0.10130 inner-val 0.10237 best 0.10237@65250 (3646s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
267
+ 2026-10-03T11:14:53 step 65500 train 0.10102 inner-val 0.10237 best 0.10237@65250 (3661s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
268
+ 2026-10-03T11:15:07 step 65750 train 0.10127 inner-val 0.10236 best 0.10236@65750 (3674s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
269
+ 2026-10-03T11:15:20 step 66000 train 0.10123 inner-val 0.10236 best 0.10236@65750 (3688s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
270
+ 2026-10-03T11:15:34 step 66250 train 0.10111 inner-val 0.10236 best 0.10236@66250 (3701s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
271
+ 2026-10-03T11:15:49 step 66500 train 0.10148 inner-val 0.10236 best 0.10236@66500 (3715s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
272
+ 2026-10-03T11:16:03 step 66750 train 0.10087 inner-val 0.10236 best 0.10236@66750 (3730s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
273
+ 2026-10-03T11:16:17 step 67000 train 0.10146 inner-val 0.10235 best 0.10235@67000 (3744s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
274
+ 2026-10-03T11:16:32 step 67250 train 0.10113 inner-val 0.10235 best 0.10235@67250 (3758s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
275
+ 2026-10-03T11:16:46 step 67500 train 0.10138 inner-val 0.10235 best 0.10235@67500 (3772s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1012
276
+ 2026-10-03T11:16:59 step 67750 train 0.10106 inner-val 0.10235 best 0.10235@67500 (3787s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
277
+ 2026-10-03T11:17:12 step 68000 train 0.10132 inner-val 0.10235 best 0.10235@67500 (3800s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
278
+ 2026-10-03T11:17:26 step 68250 train 0.10129 inner-val 0.10235 best 0.10235@68250 (3813s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
279
+ 2026-10-03T11:17:41 step 68500 train 0.10114 inner-val 0.10235 best 0.10235@68500 (3827s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
280
+ 2026-10-03T11:17:55 step 68750 train 0.10145 inner-val 0.10234 best 0.10234@68750 (3841s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
281
+ 2026-10-03T11:18:08 step 69000 train 0.10114 inner-val 0.10234 best 0.10234@68750 (3856s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
282
+ 2026-10-03T11:18:22 step 69250 train 0.10129 inner-val 0.10234 best 0.10234@69250 (3869s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
283
+ 2026-10-03T11:18:37 step 69500 train 0.10080 inner-val 0.10234 best 0.10234@69500 (3883s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
284
+ 2026-10-03T11:18:51 step 69750 train 0.10135 inner-val 0.10234 best 0.10234@69750 (3897s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
285
+ 2026-10-03T11:19:04 step 70000 train 0.10113 inner-val 0.10234 best 0.10234@69750 (3912s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
286
+ 2026-10-03T11:19:19 step 70250 train 0.10125 inner-val 0.10233 best 0.10233@70250 (3925s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
287
+ 2026-10-03T11:19:33 step 70500 train 0.10111 inner-val 0.10233 best 0.10233@70500 (3939s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
288
+ 2026-10-03T11:19:48 step 70750 train 0.10093 inner-val 0.10232 best 0.10232@70750 (3954s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
289
+ 2026-10-03T11:20:02 step 71000 train 0.10090 inner-val 0.10232 best 0.10232@71000 (3968s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
290
+ 2026-10-03T11:20:16 step 71250 train 0.10133 inner-val 0.10232 best 0.10232@71250 (3983s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
291
+ 2026-10-03T11:20:31 step 71500 train 0.10112 inner-val 0.10232 best 0.10232@71500 (3997s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
292
+ 2026-10-03T11:20:45 step 71750 train 0.10114 inner-val 0.10231 best 0.10231@71750 (4011s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
293
+ 2026-10-03T11:21:00 step 72000 train 0.10110 inner-val 0.10231 best 0.10231@72000 (4026s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
294
+ 2026-10-03T11:21:12 step 72250 train 0.10095 inner-val 0.10231 best 0.10231@72000 (4040s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
295
+ 2026-10-03T11:21:27 step 72500 train 0.10138 inner-val 0.10231 best 0.10231@72500 (4053s) immicro=0.0972 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
296
+ 2026-10-03T11:21:41 step 72750 train 0.10111 inner-val 0.10230 best 0.10230@72750 (4068s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
297
+ 2026-10-03T11:21:54 step 73000 train 0.10075 inner-val 0.10230 best 0.10230@72750 (4082s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
298
+ 2026-10-03T11:22:08 step 73250 train 0.10137 inner-val 0.10230 best 0.10230@73250 (4094s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
299
+ 2026-10-03T11:22:20 step 73500 train 0.10106 inner-val 0.10230 best 0.10230@73250 (4108s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
300
+ 2026-10-03T11:22:34 step 73750 train 0.10118 inner-val 0.10230 best 0.10230@73750 (4120s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
301
+ 2026-10-03T11:22:45 step 74000 train 0.10078 inner-val 0.10230 best 0.10230@73750 (4133s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
302
+ 2026-10-03T11:23:00 step 74250 train 0.10092 inner-val 0.10229 best 0.10229@74250 (4146s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
303
+ 2026-10-03T11:23:14 step 74500 train 0.10094 inner-val 0.10229 best 0.10229@74500 (4161s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
304
+ 2026-10-03T11:23:27 step 74750 train 0.10093 inner-val 0.10229 best 0.10229@74500 (4175s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
305
+ 2026-10-03T11:23:40 step 75000 train 0.10112 inner-val 0.10229 best 0.10229@74500 (4188s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
306
+ 2026-10-03T11:23:51 step 75250 train 0.10080 inner-val 0.10229 best 0.10229@74500 (4199s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
307
+ 2026-10-03T11:24:06 step 75500 train 0.10114 inner-val 0.10229 best 0.10229@75500 (4212s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
308
+ 2026-10-03T11:24:21 step 75750 train 0.10083 inner-val 0.10229 best 0.10229@75750 (4227s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
309
+ 2026-10-03T11:24:35 step 76000 train 0.10098 inner-val 0.10228 best 0.10228@76000 (4241s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
310
+ 2026-10-03T11:24:48 step 76250 train 0.10102 inner-val 0.10228 best 0.10228@76000 (4256s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
311
+ 2026-10-03T11:25:02 step 76500 train 0.10114 inner-val 0.10228 best 0.10228@76500 (4268s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
312
+ 2026-10-03T11:25:15 step 76750 train 0.10103 inner-val 0.10228 best 0.10228@76500 (4283s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
313
+ 2026-10-03T11:25:28 step 77000 train 0.10097 inner-val 0.10228 best 0.10228@76500 (4296s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
314
+ 2026-10-03T11:25:41 step 77250 train 0.10109 inner-val 0.10228 best 0.10228@76500 (4309s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0982 liu2021=0.1011
315
+ 2026-10-03T11:25:56 step 77500 train 0.10126 inner-val 0.10228 best 0.10228@77500 (4322s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
316
+ 2026-10-03T11:26:09 step 77750 train 0.10097 inner-val 0.10228 best 0.10228@77500 (4337s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
317
+ 2026-10-03T11:26:23 step 78000 train 0.10092 inner-val 0.10227 best 0.10227@78000 (4350s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
318
+ 2026-10-03T11:26:36 step 78250 train 0.10077 inner-val 0.10227 best 0.10227@78000 (4364s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0982 liu2021=0.1011
319
+ 2026-10-03T11:26:51 step 78500 train 0.10131 inner-val 0.10227 best 0.10227@78500 (4377s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
320
+ 2026-10-03T11:27:06 step 78750 train 0.10103 inner-val 0.10227 best 0.10227@78750 (4392s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
321
+ 2026-10-03T11:27:20 step 79000 train 0.10073 inner-val 0.10227 best 0.10227@79000 (4406s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
322
+ 2026-10-03T11:27:33 step 79250 train 0.10093 inner-val 0.10226 best 0.10227@79000 (4421s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
323
+ 2026-10-03T11:27:48 step 79500 train 0.10106 inner-val 0.10226 best 0.10226@79500 (4434s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
324
+ 2026-10-03T11:28:02 step 79750 train 0.10096 inner-val 0.10226 best 0.10226@79750 (4449s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
325
+ 2026-10-03T11:28:16 step 80000 train 0.10117 inner-val 0.10226 best 0.10226@80000 (4462s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
326
+ 2026-10-03T11:28:18 block end 80000: best 0.10226@80000; block improvement 0.000145 (1.42 % of total 0.010240) -> continue
327
+ 2026-10-03T11:28:29 step 80250 train 0.10095 inner-val 0.10226 best 0.10226@80000 (4477s) immicro=0.0971 ye2026_sepsis=0.1128 imperial_eskd=0.0981 liu2021=0.1011
328
+ 2026-10-03T11:28:41 step 80500 train 0.10108 inner-val 0.10226 best 0.10226@80000 (4489s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
329
+ 2026-10-03T11:28:52 step 80750 train 0.10082 inner-val 0.10226 best 0.10226@80000 (4500s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
330
+ 2026-10-03T11:29:06 step 81000 train 0.10109 inner-val 0.10225 best 0.10225@81000 (4512s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
331
+ 2026-10-03T11:29:19 step 81250 train 0.10061 inner-val 0.10225 best 0.10225@81250 (4525s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
332
+ 2026-10-03T11:29:32 step 81500 train 0.10100 inner-val 0.10225 best 0.10225@81500 (4538s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
333
+ 2026-10-03T11:29:45 step 81750 train 0.10111 inner-val 0.10225 best 0.10225@81750 (4551s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
334
+ 2026-10-03T11:29:57 step 82000 train 0.10118 inner-val 0.10225 best 0.10225@81750 (4565s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
335
+ 2026-10-03T11:30:10 step 82250 train 0.10097 inner-val 0.10224 best 0.10224@82250 (4576s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
336
+ 2026-10-03T11:30:22 step 82500 train 0.10119 inner-val 0.10224 best 0.10224@82250 (4589s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
337
+ 2026-10-03T11:30:35 step 82750 train 0.10086 inner-val 0.10224 best 0.10224@82750 (4601s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
338
+ 2026-10-03T11:30:48 step 83000 train 0.10097 inner-val 0.10224 best 0.10224@83000 (4614s) immicro=0.0971 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
339
+ 2026-10-03T11:30:59 step 83250 train 0.10100 inner-val 0.10224 best 0.10224@83000 (4627s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
340
+ 2026-10-03T11:31:12 step 83500 train 0.10086 inner-val 0.10223 best 0.10223@83500 (4639s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
341
+ 2026-10-03T11:31:24 step 83750 train 0.10081 inner-val 0.10223 best 0.10223@83500 (4652s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
342
+ 2026-10-03T11:31:35 step 84000 train 0.10068 inner-val 0.10223 best 0.10223@83500 (4663s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
343
+ 2026-10-03T11:31:47 step 84250 train 0.10067 inner-val 0.10223 best 0.10223@83500 (4675s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
344
+ 2026-10-03T11:32:00 step 84500 train 0.10072 inner-val 0.10223 best 0.10223@84500 (4686s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
345
+ 2026-10-03T11:32:13 step 84750 train 0.10099 inner-val 0.10223 best 0.10223@84750 (4699s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
346
+ 2026-10-03T11:32:26 step 85000 train 0.10104 inner-val 0.10223 best 0.10223@85000 (4712s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
347
+ 2026-10-03T11:32:39 step 85250 train 0.10105 inner-val 0.10222 best 0.10222@85250 (4726s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
348
+ 2026-10-03T11:32:51 step 85500 train 0.10114 inner-val 0.10222 best 0.10222@85250 (4739s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
349
+ 2026-10-03T11:33:04 step 85750 train 0.10099 inner-val 0.10222 best 0.10222@85750 (4750s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
350
+ 2026-10-03T11:33:17 step 86000 train 0.10087 inner-val 0.10222 best 0.10222@86000 (4764s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
351
+ 2026-10-03T11:33:29 step 86250 train 0.10107 inner-val 0.10222 best 0.10222@86000 (4777s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
352
+ 2026-10-03T11:33:40 step 86500 train 0.10071 inner-val 0.10222 best 0.10222@86000 (4788s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
353
+ 2026-10-03T11:33:52 step 86750 train 0.10062 inner-val 0.10222 best 0.10222@86000 (4800s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
354
+ 2026-10-03T11:34:03 step 87000 train 0.10089 inner-val 0.10221 best 0.10222@86000 (4811s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
355
+ 2026-10-03T11:34:16 step 87250 train 0.10075 inner-val 0.10221 best 0.10221@87250 (4823s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
356
+ 2026-10-03T11:34:28 step 87500 train 0.10097 inner-val 0.10221 best 0.10221@87250 (4836s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
357
+ 2026-10-03T11:34:41 step 87750 train 0.10079 inner-val 0.10221 best 0.10221@87750 (4847s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
358
+ 2026-10-03T11:34:52 step 88000 train 0.10099 inner-val 0.10221 best 0.10221@87750 (4860s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
359
+ 2026-10-03T11:35:04 step 88250 train 0.10085 inner-val 0.10221 best 0.10221@87750 (4872s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
360
+ 2026-10-03T11:35:17 step 88500 train 0.10081 inner-val 0.10220 best 0.10220@88500 (4883s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
361
+ 2026-10-03T11:35:28 step 88750 train 0.10088 inner-val 0.10220 best 0.10220@88500 (4896s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
362
+ 2026-10-03T11:35:42 step 89000 train 0.10109 inner-val 0.10220 best 0.10220@89000 (4908s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
363
+ 2026-10-03T11:35:53 step 89250 train 0.10125 inner-val 0.10220 best 0.10220@89000 (4921s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
364
+ 2026-10-03T11:36:06 step 89500 train 0.10083 inner-val 0.10220 best 0.10220@89500 (4932s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
365
+ 2026-10-03T11:36:19 step 89750 train 0.10121 inner-val 0.10220 best 0.10220@89750 (4946s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
366
+ 2026-10-03T11:36:31 step 90000 train 0.10076 inner-val 0.10220 best 0.10220@89750 (4959s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
367
+ 2026-10-03T11:36:44 step 90250 train 0.10094 inner-val 0.10219 best 0.10219@90250 (4970s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
368
+ 2026-10-03T11:36:57 step 90500 train 0.10091 inner-val 0.10219 best 0.10219@90500 (4984s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
369
+ 2026-10-03T11:37:11 step 90750 train 0.10072 inner-val 0.10219 best 0.10219@90750 (4997s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
370
+ 2026-10-03T11:37:22 step 91000 train 0.10079 inner-val 0.10219 best 0.10219@90750 (5010s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
371
+ 2026-10-03T11:37:34 step 91250 train 0.10083 inner-val 0.10219 best 0.10219@90750 (5022s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
372
+ 2026-10-03T11:37:45 step 91500 train 0.10082 inner-val 0.10219 best 0.10219@90750 (5033s) immicro=0.0970 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
373
+ 2026-10-03T11:37:58 step 91750 train 0.10072 inner-val 0.10219 best 0.10219@91750 (5044s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
374
+ 2026-10-03T11:38:10 step 92000 train 0.10066 inner-val 0.10219 best 0.10219@91750 (5058s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
375
+ 2026-10-03T11:38:21 step 92250 train 0.10108 inner-val 0.10219 best 0.10219@91750 (5069s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1011
376
+ 2026-10-03T11:38:33 step 92500 train 0.10067 inner-val 0.10219 best 0.10219@91750 (5081s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
377
+ 2026-10-03T11:38:44 step 92750 train 0.10082 inner-val 0.10219 best 0.10219@91750 (5092s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
378
+ 2026-10-03T11:38:57 step 93000 train 0.10104 inner-val 0.10218 best 0.10218@93000 (5104s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
379
+ 2026-10-03T11:39:10 step 93250 train 0.10073 inner-val 0.10218 best 0.10218@93250 (5117s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
380
+ 2026-10-03T11:39:22 step 93500 train 0.10083 inner-val 0.10218 best 0.10218@93250 (5130s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
381
+ 2026-10-03T11:39:35 step 93750 train 0.10060 inner-val 0.10218 best 0.10218@93750 (5141s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
382
+ 2026-10-03T11:39:48 step 94000 train 0.10113 inner-val 0.10217 best 0.10217@94000 (5155s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
383
+ 2026-10-03T11:40:01 step 94250 train 0.10083 inner-val 0.10217 best 0.10217@94250 (5168s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
384
+ 2026-10-03T11:40:13 step 94500 train 0.10089 inner-val 0.10217 best 0.10217@94250 (5180s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
385
+ 2026-10-03T11:40:25 step 94750 train 0.10064 inner-val 0.10217 best 0.10217@94750 (5192s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
386
+ 2026-10-03T11:40:37 step 95000 train 0.10079 inner-val 0.10217 best 0.10217@94750 (5205s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
387
+ 2026-10-03T11:40:50 step 95250 train 0.10068 inner-val 0.10216 best 0.10216@95250 (5216s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
388
+ 2026-10-03T11:41:03 step 95500 train 0.10089 inner-val 0.10216 best 0.10216@95500 (5230s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
389
+ 2026-10-03T11:41:15 step 95750 train 0.10085 inner-val 0.10216 best 0.10216@95500 (5242s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0981 liu2021=0.1010
390
+ 2026-10-03T11:41:27 step 96000 train 0.10082 inner-val 0.10216 best 0.10216@96000 (5254s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
391
+ 2026-10-03T11:41:39 step 96250 train 0.10102 inner-val 0.10216 best 0.10216@96000 (5267s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
392
+ 2026-10-03T11:41:51 step 96500 train 0.10106 inner-val 0.10216 best 0.10216@96000 (5278s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
393
+ 2026-10-03T11:42:02 step 96750 train 0.10054 inner-val 0.10216 best 0.10216@96000 (5290s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
394
+ 2026-10-03T11:42:15 step 97000 train 0.10061 inner-val 0.10216 best 0.10216@97000 (5302s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
395
+ 2026-10-03T11:42:28 step 97250 train 0.10068 inner-val 0.10216 best 0.10216@97250 (5315s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
396
+ 2026-10-03T11:42:41 step 97500 train 0.10066 inner-val 0.10215 best 0.10215@97500 (5328s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
397
+ 2026-10-03T11:42:53 step 97750 train 0.10087 inner-val 0.10215 best 0.10215@97500 (5341s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
398
+ 2026-10-03T11:43:04 step 98000 train 0.10109 inner-val 0.10215 best 0.10215@97500 (5352s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
399
+ 2026-10-03T11:43:16 step 98250 train 0.10067 inner-val 0.10215 best 0.10215@97500 (5364s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
400
+ 2026-10-03T11:43:27 step 98500 train 0.10084 inner-val 0.10215 best 0.10215@97500 (5375s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
401
+ 2026-10-03T11:43:40 step 98750 train 0.10063 inner-val 0.10215 best 0.10215@98750 (5387s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
402
+ 2026-10-03T11:43:53 step 99000 train 0.10116 inner-val 0.10215 best 0.10215@99000 (5400s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
403
+ 2026-10-03T11:44:05 step 99250 train 0.10071 inner-val 0.10215 best 0.10215@99000 (5413s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
404
+ 2026-10-03T11:44:18 step 99500 train 0.10069 inner-val 0.10214 best 0.10214@99500 (5424s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
405
+ 2026-10-03T11:44:31 step 99750 train 0.10065 inner-val 0.10214 best 0.10214@99750 (5438s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
406
+ 2026-10-03T11:44:42 step 100000 train 0.10084 inner-val 0.10214 best 0.10214@99750 (5450s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
407
+ 2026-10-03T11:44:44 block end 100000: best 0.10214@99750; block improvement 0.000116 (1.12 % of total 0.010355) -> continue
408
+ 2026-10-03T11:44:55 step 100250 train 0.10059 inner-val 0.10215 best 0.10214@99750 (5463s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
409
+ 2026-10-03T11:45:07 step 100500 train 0.10056 inner-val 0.10215 best 0.10214@99750 (5475s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
410
+ 2026-10-03T11:45:19 step 100750 train 0.10085 inner-val 0.10215 best 0.10214@99750 (5486s) immicro=0.0969 ye2026_sepsis=0.1127 imperial_eskd=0.0980 liu2021=0.1010
411
+ 2026-10-03T11:45:30 step 101000 train 0.10041 inner-val 0.10215 best 0.10214@99750 (5498s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
412
+ 2026-10-03T11:45:42 step 101250 train 0.10078 inner-val 0.10215 best 0.10214@99750 (5510s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
413
+ 2026-10-03T11:45:53 step 101500 train 0.10065 inner-val 0.10214 best 0.10214@99750 (5521s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
414
+ 2026-10-03T11:46:06 step 101750 train 0.10078 inner-val 0.10214 best 0.10214@101750 (5533s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
415
+ 2026-10-03T11:46:19 step 102000 train 0.10056 inner-val 0.10214 best 0.10214@102000 (5546s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
416
+ 2026-10-03T11:46:32 step 102250 train 0.10079 inner-val 0.10213 best 0.10213@102250 (5558s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
417
+ 2026-10-03T11:46:44 step 102500 train 0.10077 inner-val 0.10213 best 0.10213@102250 (5571s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
418
+ 2026-10-03T11:46:56 step 102750 train 0.10046 inner-val 0.10213 best 0.10213@102750 (5583s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
419
+ 2026-10-03T11:47:09 step 103000 train 0.10063 inner-val 0.10213 best 0.10213@103000 (5596s) immicro=0.0969 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
420
+ 2026-10-03T11:47:22 step 103250 train 0.10077 inner-val 0.10212 best 0.10212@103250 (5609s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
421
+ 2026-10-03T11:47:35 step 103500 train 0.10080 inner-val 0.10212 best 0.10212@103500 (5621s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
422
+ 2026-10-03T11:47:47 step 103750 train 0.10055 inner-val 0.10212 best 0.10212@103500 (5634s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
423
+ 2026-10-03T11:48:00 step 104000 train 0.10079 inner-val 0.10212 best 0.10212@104000 (5646s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
424
+ 2026-10-03T11:48:13 step 104250 train 0.10048 inner-val 0.10211 best 0.10211@104250 (5659s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
425
+ 2026-10-03T11:48:24 step 104500 train 0.10099 inner-val 0.10212 best 0.10211@104250 (5672s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
426
+ 2026-10-03T11:48:36 step 104750 train 0.10082 inner-val 0.10212 best 0.10211@104250 (5684s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
427
+ 2026-10-03T11:48:47 step 105000 train 0.10058 inner-val 0.10212 best 0.10211@104250 (5695s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
428
+ 2026-10-03T11:48:59 step 105250 train 0.10081 inner-val 0.10212 best 0.10211@104250 (5707s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
429
+ 2026-10-03T11:49:10 step 105500 train 0.10032 inner-val 0.10211 best 0.10211@104250 (5718s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
430
+ 2026-10-03T11:49:23 step 105750 train 0.10056 inner-val 0.10211 best 0.10211@105750 (5730s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
431
+ 2026-10-03T11:49:35 step 106000 train 0.10061 inner-val 0.10211 best 0.10211@105750 (5743s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
432
+ 2026-10-03T11:49:46 step 106250 train 0.10095 inner-val 0.10211 best 0.10211@105750 (5754s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
433
+ 2026-10-03T11:49:59 step 106500 train 0.10031 inner-val 0.10211 best 0.10211@106500 (5766s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
434
+ 2026-10-03T11:50:11 step 106750 train 0.10068 inner-val 0.10211 best 0.10211@106500 (5779s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
435
+ 2026-10-03T11:50:24 step 107000 train 0.10065 inner-val 0.10211 best 0.10211@107000 (5790s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
436
+ 2026-10-03T11:50:35 step 107250 train 0.10066 inner-val 0.10211 best 0.10211@107000 (5803s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
437
+ 2026-10-03T11:50:49 step 107500 train 0.10044 inner-val 0.10210 best 0.10210@107500 (5815s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
438
+ 2026-10-03T11:51:01 step 107750 train 0.10062 inner-val 0.10210 best 0.10210@107750 (5828s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
439
+ 2026-10-03T11:51:15 step 108000 train 0.10063 inner-val 0.10210 best 0.10210@108000 (5841s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
440
+ 2026-10-03T11:51:27 step 108250 train 0.10079 inner-val 0.10210 best 0.10210@108250 (5854s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
441
+ 2026-10-03T11:51:41 step 108500 train 0.10096 inner-val 0.10210 best 0.10210@108500 (5867s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
442
+ 2026-10-03T11:51:52 step 108750 train 0.10025 inner-val 0.10209 best 0.10210@108500 (5880s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
443
+ 2026-10-03T11:52:05 step 109000 train 0.10053 inner-val 0.10209 best 0.10209@109000 (5892s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
444
+ 2026-10-03T11:52:17 step 109250 train 0.10078 inner-val 0.10209 best 0.10209@109000 (5904s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
445
+ 2026-10-03T11:52:30 step 109500 train 0.10080 inner-val 0.10209 best 0.10209@109500 (5916s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
446
+ 2026-10-03T11:52:41 step 109750 train 0.10055 inner-val 0.10209 best 0.10209@109500 (5929s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
447
+ 2026-10-03T11:52:53 step 110000 train 0.10076 inner-val 0.10209 best 0.10209@109500 (5941s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
448
+ 2026-10-03T11:53:06 step 110250 train 0.10062 inner-val 0.10209 best 0.10209@110250 (5952s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
449
+ 2026-10-03T11:53:19 step 110500 train 0.10052 inner-val 0.10208 best 0.10208@110500 (5965s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
450
+ 2026-10-03T11:53:30 step 110750 train 0.10095 inner-val 0.10208 best 0.10208@110500 (5978s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
451
+ 2026-10-03T11:53:42 step 111000 train 0.10056 inner-val 0.10208 best 0.10208@110500 (5990s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
452
+ 2026-10-03T11:53:54 step 111250 train 0.10059 inner-val 0.10209 best 0.10208@110500 (6001s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
453
+ 2026-10-03T11:54:05 step 111500 train 0.10087 inner-val 0.10208 best 0.10208@110500 (6013s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
454
+ 2026-10-03T11:54:18 step 111750 train 0.10041 inner-val 0.10208 best 0.10208@111750 (6024s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
455
+ 2026-10-03T11:54:30 step 112000 train 0.10022 inner-val 0.10208 best 0.10208@111750 (6038s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
456
+ 2026-10-03T11:54:43 step 112250 train 0.10033 inner-val 0.10208 best 0.10208@112250 (6049s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
457
+ 2026-10-03T11:54:56 step 112500 train 0.10030 inner-val 0.10208 best 0.10208@112500 (6062s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
458
+ 2026-10-03T11:55:07 step 112750 train 0.10064 inner-val 0.10207 best 0.10208@112500 (6075s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
459
+ 2026-10-03T11:55:20 step 113000 train 0.10064 inner-val 0.10207 best 0.10207@113000 (6087s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
460
+ 2026-10-03T11:55:32 step 113250 train 0.10062 inner-val 0.10207 best 0.10207@113000 (6100s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
461
+ 2026-10-03T11:55:45 step 113500 train 0.10072 inner-val 0.10207 best 0.10207@113500 (6111s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
462
+ 2026-10-03T11:55:57 step 113750 train 0.10051 inner-val 0.10207 best 0.10207@113500 (6124s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
463
+ 2026-10-03T11:56:08 step 114000 train 0.10063 inner-val 0.10207 best 0.10207@113500 (6136s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
464
+ 2026-10-03T11:56:20 step 114250 train 0.10061 inner-val 0.10207 best 0.10207@113500 (6148s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
465
+ 2026-10-03T11:56:31 step 114500 train 0.10046 inner-val 0.10207 best 0.10207@113500 (6159s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
466
+ 2026-10-03T11:56:43 step 114750 train 0.10052 inner-val 0.10207 best 0.10207@113500 (6170s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
467
+ 2026-10-03T11:56:54 step 115000 train 0.10022 inner-val 0.10207 best 0.10207@113500 (6182s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
468
+ 2026-10-03T11:57:07 step 115250 train 0.10058 inner-val 0.10207 best 0.10207@115250 (6194s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
469
+ 2026-10-03T11:57:19 step 115500 train 0.10068 inner-val 0.10207 best 0.10207@115250 (6206s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
470
+ 2026-10-03T11:57:30 step 115750 train 0.10054 inner-val 0.10207 best 0.10207@115250 (6218s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
471
+ 2026-10-03T11:57:42 step 116000 train 0.10056 inner-val 0.10207 best 0.10207@115250 (6230s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
472
+ 2026-10-03T11:57:55 step 116250 train 0.10094 inner-val 0.10206 best 0.10206@116250 (6241s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
473
+ 2026-10-03T11:58:06 step 116500 train 0.10055 inner-val 0.10207 best 0.10206@116250 (6254s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
474
+ 2026-10-03T11:58:18 step 116750 train 0.10038 inner-val 0.10207 best 0.10206@116250 (6266s) immicro=0.0968 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
475
+ 2026-10-03T11:58:29 step 117000 train 0.10065 inner-val 0.10207 best 0.10206@116250 (6277s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
476
+ 2026-10-03T11:58:41 step 117250 train 0.10048 inner-val 0.10206 best 0.10206@116250 (6289s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
477
+ 2026-10-03T11:58:54 step 117500 train 0.10045 inner-val 0.10206 best 0.10206@117500 (6300s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
478
+ 2026-10-03T11:59:07 step 117750 train 0.10061 inner-val 0.10206 best 0.10206@117750 (6313s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0980 liu2021=0.1010
479
+ 2026-10-03T11:59:20 step 118000 train 0.10039 inner-val 0.10206 best 0.10206@118000 (6326s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
480
+ 2026-10-03T11:59:32 step 118250 train 0.10061 inner-val 0.10206 best 0.10206@118000 (6339s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
481
+ 2026-10-03T11:59:43 step 118500 train 0.10033 inner-val 0.10206 best 0.10206@118000 (6351s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
482
+ 2026-10-03T11:59:56 step 118750 train 0.10059 inner-val 0.10205 best 0.10205@118750 (6362s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
483
+ 2026-10-03T12:00:09 step 119000 train 0.10067 inner-val 0.10205 best 0.10205@119000 (6376s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
484
+ 2026-10-03T12:00:22 step 119250 train 0.10051 inner-val 0.10205 best 0.10205@119250 (6388s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
485
+ 2026-10-03T12:00:34 step 119500 train 0.10056 inner-val 0.10205 best 0.10205@119250 (6402s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
486
+ 2026-10-03T12:00:45 step 119750 train 0.10056 inner-val 0.10205 best 0.10205@119250 (6413s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
487
+ 2026-10-03T12:00:57 step 120000 train 0.10079 inner-val 0.10205 best 0.10205@119250 (6425s) immicro=0.0967 ye2026_sepsis=0.1126 imperial_eskd=0.0979 liu2021=0.1010
488
+ 2026-10-03T12:00:58 block end 120000: best 0.10205@119250; block improvement 0.000097 (0.93 % of total 0.010453) -> saturated, stop
489
+ 2026-10-03T12:01:04 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/fullsat/checkpoint_ft.pt (selected step 119250, inner-val 0.10205 vs pretrained 0.11250); sha 4ce5a2e70498