Archive 4 checkpoints (1-4)

paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/fullsat/train.log

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+2026-10-03T15:01:49 split=hoL_imperial_eskd K=1000 mode=full trainable=54,185,184 balance=cohort immicro: train 95 rows / 347,061 cells, inner 12; ye2026_sepsis: train 73 rows / 529,816 cells, inner 9; giroux2022: train 24 rows / 254,250 cells, inner 0; liu2021: train 40 rows / 147,532 cells, inner 4
+2026-10-03T15:01:51 step 0 inner-val loss 0.11370 (pretrained) {'immicro': 0.10636159498244524, 'ye2026_sepsis': 0.12489082664251328, 'liu2021': 0.10984707903116941}
+2026-10-03T15:02:06 step 250 train 0.10773 inner-val 0.11195 best 0.11195@250 (13s) immicro=0.1047 ye2026_sepsis=0.1231 liu2021=0.1081
+2026-10-03T15:02:20 step 500 train 0.10506 inner-val 0.10978 best 0.10978@500 (27s) immicro=0.1029 ye2026_sepsis=0.1205 liu2021=0.1060
+2026-10-03T15:02:34 step 750 train 0.10489 inner-val 0.10829 best 0.10829@750 (41s) immicro=0.1018 ye2026_sepsis=0.1185 liu2021=0.1046
+2026-10-03T15:02:48 step 1000 train 0.10429 inner-val 0.10732 best 0.10732@1000 (55s) immicro=0.1010 ye2026_sepsis=0.1171 liu2021=0.1038
+2026-10-03T15:03:03 step 1250 train 0.10439 inner-val 0.10670 best 0.10670@1250 (70s) immicro=0.1005 ye2026_sepsis=0.1162 liu2021=0.1033
+2026-10-03T15:03:17 step 1500 train 0.10409 inner-val 0.10628 best 0.10628@1500 (84s) immicro=0.1002 ye2026_sepsis=0.1157 liu2021=0.1030
+2026-10-03T15:03:31 step 1750 train 0.10406 inner-val 0.10599 best 0.10599@1750 (98s) immicro=0.0999 ye2026_sepsis=0.1153 liu2021=0.1028
+2026-10-03T15:03:45 step 2000 train 0.10384 inner-val 0.10579 best 0.10579@2000 (112s) immicro=0.0997 ye2026_sepsis=0.1150 liu2021=0.1027
+2026-10-03T15:04:00 step 2250 train 0.10389 inner-val 0.10563 best 0.10563@2250 (127s) immicro=0.0995 ye2026_sepsis=0.1148 liu2021=0.1026
+2026-10-03T15:04:14 step 2500 train 0.10407 inner-val 0.10551 best 0.10551@2500 (141s) immicro=0.0994 ye2026_sepsis=0.1147 liu2021=0.1025
+2026-10-03T15:04:27 step 2750 train 0.10370 inner-val 0.10541 best 0.10541@2750 (154s) immicro=0.0993 ye2026_sepsis=0.1145 liu2021=0.1024
+2026-10-03T15:04:41 step 3000 train 0.10376 inner-val 0.10532 best 0.10532@3000 (168s) immicro=0.0992 ye2026_sepsis=0.1144 liu2021=0.1024
+2026-10-03T15:04:55 step 3250 train 0.10386 inner-val 0.10526 best 0.10526@3250 (182s) immicro=0.0991 ye2026_sepsis=0.1143 liu2021=0.1024
+2026-10-03T15:05:09 step 3500 train 0.10384 inner-val 0.10520 best 0.10520@3500 (196s) immicro=0.0990 ye2026_sepsis=0.1142 liu2021=0.1023
+2026-10-03T15:05:23 step 3750 train 0.10361 inner-val 0.10514 best 0.10514@3750 (210s) immicro=0.0990 ye2026_sepsis=0.1142 liu2021=0.1023
+2026-10-03T15:05:36 step 4000 train 0.10345 inner-val 0.10510 best 0.10510@4000 (224s) immicro=0.0989 ye2026_sepsis=0.1141 liu2021=0.1023
+2026-10-03T15:05:50 step 4250 train 0.10373 inner-val 0.10506 best 0.10506@4250 (237s) immicro=0.0989 ye2026_sepsis=0.1141 liu2021=0.1022
+2026-10-03T15:06:04 step 4500 train 0.10372 inner-val 0.10503 best 0.10503@4500 (252s) immicro=0.0988 ye2026_sepsis=0.1140 liu2021=0.1022
+2026-10-03T15:06:19 step 4750 train 0.10349 inner-val 0.10499 best 0.10499@4750 (266s) immicro=0.0988 ye2026_sepsis=0.1140 liu2021=0.1022
+2026-10-03T15:06:33 step 5000 train 0.10373 inner-val 0.10496 best 0.10496@5000 (280s) immicro=0.0987 ye2026_sepsis=0.1140 liu2021=0.1022
+2026-10-03T15:06:48 step 5250 train 0.10334 inner-val 0.10494 best 0.10494@5250 (294s) immicro=0.0987 ye2026_sepsis=0.1139 liu2021=0.1022
+2026-10-03T15:07:02 step 5500 train 0.10347 inner-val 0.10491 best 0.10491@5500 (309s) immicro=0.0987 ye2026_sepsis=0.1139 liu2021=0.1022
+2026-10-03T15:07:16 step 5750 train 0.10300 inner-val 0.10489 best 0.10489@5750 (323s) immicro=0.0987 ye2026_sepsis=0.1139 liu2021=0.1021
+2026-10-03T15:07:31 step 6000 train 0.10332 inner-val 0.10486 best 0.10486@6000 (337s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1021
+2026-10-03T15:07:44 step 6250 train 0.10358 inner-val 0.10484 best 0.10484@6250 (352s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1021
+2026-10-03T15:07:58 step 6500 train 0.10354 inner-val 0.10482 best 0.10482@6500 (366s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1021
+2026-10-03T15:08:12 step 6750 train 0.10321 inner-val 0.10480 best 0.10480@6750 (379s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1021
+2026-10-03T15:08:26 step 7000 train 0.10324 inner-val 0.10478 best 0.10478@7000 (393s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1021
+2026-10-03T15:08:40 step 7250 train 0.10342 inner-val 0.10477 best 0.10477@7250 (407s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:08:54 step 7500 train 0.10332 inner-val 0.10475 best 0.10475@7500 (421s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:09:07 step 7750 train 0.10316 inner-val 0.10473 best 0.10473@7750 (434s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:09:21 step 8000 train 0.10288 inner-val 0.10472 best 0.10472@8000 (448s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:09:35 step 8250 train 0.10334 inner-val 0.10470 best 0.10470@8250 (462s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:09:49 step 8500 train 0.10292 inner-val 0.10469 best 0.10469@8500 (476s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T15:10:02 step 8750 train 0.10334 inner-val 0.10468 best 0.10468@8750 (490s) immicro=0.0984 ye2026_sepsis=0.1136 liu2021=0.1020
+2026-10-03T15:10:16 step 9000 train 0.10312 inner-val 0.10466 best 0.10466@9000 (503s) immicro=0.0984 ye2026_sepsis=0.1136 liu2021=0.1020
+2026-10-03T15:10:30 step 9250 train 0.10313 inner-val 0.10465 best 0.10465@9250 (517s) immicro=0.0984 ye2026_sepsis=0.1136 liu2021=0.1020
+2026-10-03T15:10:44 step 9500 train 0.10322 inner-val 0.10464 best 0.10464@9500 (531s) immicro=0.0984 ye2026_sepsis=0.1136 liu2021=0.1020
+2026-10-03T15:10:57 step 9750 train 0.10300 inner-val 0.10463 best 0.10463@9750 (545s) immicro=0.0983 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T15:11:11 step 10000 train 0.10296 inner-val 0.10462 best 0.10462@10000 (558s) immicro=0.0983 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T15:11:25 step 10250 train 0.10308 inner-val 0.10461 best 0.10461@10250 (572s) immicro=0.0983 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T15:11:39 step 10500 train 0.10317 inner-val 0.10460 best 0.10460@10500 (586s) immicro=0.0983 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T15:11:53 step 10750 train 0.10312 inner-val 0.10459 best 0.10459@10750 (600s) immicro=0.0983 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:12:07 step 11000 train 0.10321 inner-val 0.10457 best 0.10457@11000 (614s) immicro=0.0983 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:12:20 step 11250 train 0.10288 inner-val 0.10456 best 0.10456@11250 (628s) immicro=0.0983 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:12:34 step 11500 train 0.10311 inner-val 0.10456 best 0.10456@11500 (641s) immicro=0.0983 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:12:48 step 11750 train 0.10297 inner-val 0.10455 best 0.10455@11750 (655s) immicro=0.0983 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:13:03 step 12000 train 0.10269 inner-val 0.10454 best 0.10454@12000 (670s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:13:17 step 12250 train 0.10284 inner-val 0.10453 best 0.10453@12250 (684s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:13:31 step 12500 train 0.10307 inner-val 0.10452 best 0.10452@12500 (698s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:13:45 step 12750 train 0.10297 inner-val 0.10451 best 0.10451@12750 (712s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1019
+2026-10-03T15:13:59 step 13000 train 0.10315 inner-val 0.10450 best 0.10450@13000 (726s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T15:14:13 step 13250 train 0.10312 inner-val 0.10449 best 0.10449@13250 (740s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T15:14:27 step 13500 train 0.10299 inner-val 0.10449 best 0.10449@13500 (754s) immicro=0.0982 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T15:14:41 step 13750 train 0.10298 inner-val 0.10448 best 0.10448@13750 (768s) immicro=0.0982 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:14:55 step 14000 train 0.10293 inner-val 0.10447 best 0.10447@14000 (782s) immicro=0.0982 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:15:09 step 14250 train 0.10268 inner-val 0.10446 best 0.10446@14250 (796s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:15:22 step 14500 train 0.10309 inner-val 0.10445 best 0.10445@14500 (810s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:15:36 step 14750 train 0.10305 inner-val 0.10445 best 0.10445@14750 (824s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:15:50 step 15000 train 0.10318 inner-val 0.10444 best 0.10444@15000 (837s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:16:04 step 15250 train 0.10278 inner-val 0.10443 best 0.10443@15250 (851s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:16:18 step 15500 train 0.10309 inner-val 0.10443 best 0.10443@15500 (865s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:16:32 step 15750 train 0.10275 inner-val 0.10442 best 0.10442@15750 (879s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:16:46 step 16000 train 0.10271 inner-val 0.10441 best 0.10441@16000 (893s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:17:00 step 16250 train 0.10290 inner-val 0.10440 best 0.10440@16250 (907s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T15:17:13 step 16500 train 0.10295 inner-val 0.10439 best 0.10439@16500 (921s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:17:27 step 16750 train 0.10256 inner-val 0.10439 best 0.10439@16750 (934s) immicro=0.0981 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:17:41 step 17000 train 0.10292 inner-val 0.10439 best 0.10439@17000 (948s) immicro=0.0980 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:17:55 step 17250 train 0.10304 inner-val 0.10438 best 0.10438@17250 (962s) immicro=0.0980 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:18:09 step 17500 train 0.10275 inner-val 0.10437 best 0.10437@17500 (976s) immicro=0.0980 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:18:22 step 17750 train 0.10253 inner-val 0.10437 best 0.10437@17750 (990s) immicro=0.0980 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:18:36 step 18000 train 0.10320 inner-val 0.10436 best 0.10436@18000 (1003s) immicro=0.0980 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T15:18:50 step 18250 train 0.10253 inner-val 0.10436 best 0.10436@18250 (1017s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:19:03 step 18500 train 0.10293 inner-val 0.10435 best 0.10435@18500 (1031s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:19:17 step 18750 train 0.10260 inner-val 0.10434 best 0.10434@18750 (1044s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:19:31 step 19000 train 0.10266 inner-val 0.10434 best 0.10434@19000 (1058s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:19:44 step 19250 train 0.10267 inner-val 0.10433 best 0.10433@19250 (1072s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:19:58 step 19500 train 0.10267 inner-val 0.10432 best 0.10432@19500 (1085s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:20:12 step 19750 train 0.10269 inner-val 0.10431 best 0.10431@19750 (1099s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:20:26 step 20000 train 0.10274 inner-val 0.10431 best 0.10431@20000 (1113s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:20:27 block end 20000: best 0.10431@20000; block improvement 0.009394 (100.00 % of total 0.009394) -> continue
+2026-10-03T15:20:41 step 20250 train 0.10261 inner-val 0.10430 best 0.10430@20250 (1128s) immicro=0.0980 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:20:55 step 20500 train 0.10253 inner-val 0.10430 best 0.10430@20500 (1142s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:21:09 step 20750 train 0.10272 inner-val 0.10429 best 0.10429@20750 (1156s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:21:23 step 21000 train 0.10274 inner-val 0.10428 best 0.10428@21000 (1170s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1017
+2026-10-03T15:21:37 step 21250 train 0.10238 inner-val 0.10428 best 0.10428@21250 (1184s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:21:50 step 21500 train 0.10234 inner-val 0.10427 best 0.10427@21500 (1198s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:22:05 step 21750 train 0.10273 inner-val 0.10427 best 0.10427@21750 (1212s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:22:18 step 22000 train 0.10271 inner-val 0.10426 best 0.10426@22000 (1226s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:22:32 step 22250 train 0.10259 inner-val 0.10426 best 0.10426@22250 (1239s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:22:46 step 22500 train 0.10256 inner-val 0.10426 best 0.10426@22500 (1253s) immicro=0.0979 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T15:23:00 step 22750 train 0.10250 inner-val 0.10426 best 0.10426@22750 (1267s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:23:14 step 23000 train 0.10289 inner-val 0.10425 best 0.10425@23000 (1281s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:23:27 step 23250 train 0.10287 inner-val 0.10424 best 0.10424@23250 (1295s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:23:41 step 23500 train 0.10267 inner-val 0.10423 best 0.10423@23500 (1308s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:23:55 step 23750 train 0.10252 inner-val 0.10422 best 0.10422@23750 (1322s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:24:09 step 24000 train 0.10276 inner-val 0.10422 best 0.10422@24000 (1336s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:24:23 step 24250 train 0.10230 inner-val 0.10422 best 0.10422@24250 (1350s) immicro=0.0979 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:24:36 step 24500 train 0.10236 inner-val 0.10421 best 0.10421@24500 (1364s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:24:51 step 24750 train 0.10249 inner-val 0.10421 best 0.10421@24750 (1378s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:25:05 step 25000 train 0.10231 inner-val 0.10420 best 0.10420@25000 (1392s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:25:19 step 25250 train 0.10236 inner-val 0.10419 best 0.10419@25250 (1406s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:25:33 step 25500 train 0.10249 inner-val 0.10419 best 0.10419@25500 (1420s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:25:47 step 25750 train 0.10245 inner-val 0.10419 best 0.10419@25750 (1435s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1016
+2026-10-03T15:26:01 step 26000 train 0.10253 inner-val 0.10418 best 0.10418@26000 (1448s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:26:14 step 26250 train 0.10254 inner-val 0.10418 best 0.10418@26250 (1461s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:26:27 step 26500 train 0.10256 inner-val 0.10418 best 0.10418@26500 (1474s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:26:40 step 26750 train 0.10237 inner-val 0.10417 best 0.10417@26750 (1487s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:26:54 step 27000 train 0.10272 inner-val 0.10417 best 0.10417@27000 (1501s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:27:08 step 27250 train 0.10263 inner-val 0.10416 best 0.10416@27250 (1515s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:27:22 step 27500 train 0.10240 inner-val 0.10416 best 0.10416@27500 (1529s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:27:36 step 27750 train 0.10257 inner-val 0.10416 best 0.10416@27750 (1543s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:27:50 step 28000 train 0.10234 inner-val 0.10415 best 0.10415@28000 (1557s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:28:03 step 28250 train 0.10243 inner-val 0.10415 best 0.10415@28250 (1571s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:28:17 step 28500 train 0.10215 inner-val 0.10414 best 0.10414@28500 (1584s) immicro=0.0978 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:28:31 step 28750 train 0.10238 inner-val 0.10414 best 0.10414@28750 (1598s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:28:45 step 29000 train 0.10239 inner-val 0.10414 best 0.10414@29000 (1612s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:28:57 step 29250 train 0.10271 inner-val 0.10414 best 0.10414@29000 (1626s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:29:11 step 29500 train 0.10211 inner-val 0.10413 best 0.10413@29500 (1638s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:29:25 step 29750 train 0.10233 inner-val 0.10413 best 0.10413@29750 (1652s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:29:40 step 30000 train 0.10206 inner-val 0.10413 best 0.10413@30000 (1666s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:29:54 step 30250 train 0.10223 inner-val 0.10412 best 0.10412@30250 (1681s) immicro=0.0977 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T15:30:08 step 30500 train 0.10217 inner-val 0.10412 best 0.10412@30500 (1694s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:30:20 step 30750 train 0.10239 inner-val 0.10411 best 0.10411@30750 (1707s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:30:32 step 31000 train 0.10203 inner-val 0.10411 best 0.10411@30750 (1720s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:30:44 step 31250 train 0.10230 inner-val 0.10411 best 0.10411@31250 (1731s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:30:57 step 31500 train 0.10196 inner-val 0.10410 best 0.10410@31500 (1744s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:31:09 step 31750 train 0.10232 inner-val 0.10410 best 0.10410@31750 (1757s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:31:22 step 32000 train 0.10228 inner-val 0.10410 best 0.10410@32000 (1769s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:31:35 step 32250 train 0.10233 inner-val 0.10409 best 0.10409@32250 (1782s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:31:47 step 32500 train 0.10212 inner-val 0.10409 best 0.10409@32500 (1795s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:32:00 step 32750 train 0.10234 inner-val 0.10409 best 0.10409@32750 (1807s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:32:13 step 33000 train 0.10226 inner-val 0.10408 best 0.10408@33000 (1820s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:32:24 step 33250 train 0.10227 inner-val 0.10408 best 0.10408@33000 (1833s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:32:37 step 33500 train 0.10191 inner-val 0.10408 best 0.10408@33500 (1844s) immicro=0.0977 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:32:48 step 33750 train 0.10220 inner-val 0.10407 best 0.10408@33500 (1857s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1015
+2026-10-03T15:33:01 step 34000 train 0.10238 inner-val 0.10406 best 0.10406@34000 (1868s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:33:14 step 34250 train 0.10228 inner-val 0.10406 best 0.10406@34250 (1881s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:33:27 step 34500 train 0.10228 inner-val 0.10406 best 0.10406@34500 (1894s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:33:40 step 34750 train 0.10229 inner-val 0.10406 best 0.10406@34750 (1906s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:33:53 step 35000 train 0.10240 inner-val 0.10405 best 0.10405@35000 (1920s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:34:06 step 35250 train 0.10205 inner-val 0.10405 best 0.10405@35250 (1933s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:34:19 step 35500 train 0.10246 inner-val 0.10404 best 0.10404@35500 (1947s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:34:32 step 35750 train 0.10216 inner-val 0.10404 best 0.10404@35500 (1960s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:34:46 step 36000 train 0.10225 inner-val 0.10404 best 0.10404@36000 (1973s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:35:00 step 36250 train 0.10228 inner-val 0.10403 best 0.10403@36250 (1987s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:35:14 step 36500 train 0.10192 inner-val 0.10403 best 0.10403@36500 (2001s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:35:28 step 36750 train 0.10223 inner-val 0.10402 best 0.10402@36750 (2015s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:35:41 step 37000 train 0.10193 inner-val 0.10402 best 0.10402@37000 (2028s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:35:54 step 37250 train 0.10213 inner-val 0.10402 best 0.10402@37000 (2042s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:36:08 step 37500 train 0.10232 inner-val 0.10402 best 0.10402@37500 (2055s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:36:22 step 37750 train 0.10212 inner-val 0.10402 best 0.10402@37750 (2069s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:36:36 step 38000 train 0.10233 inner-val 0.10401 best 0.10401@38000 (2083s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:36:49 step 38250 train 0.10226 inner-val 0.10401 best 0.10401@38250 (2096s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:37:02 step 38500 train 0.10213 inner-val 0.10401 best 0.10401@38250 (2110s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:37:15 step 38750 train 0.10203 inner-val 0.10400 best 0.10400@38750 (2123s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:37:29 step 39000 train 0.10209 inner-val 0.10400 best 0.10400@39000 (2136s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:37:42 step 39250 train 0.10205 inner-val 0.10400 best 0.10400@39000 (2150s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T15:37:56 step 39500 train 0.10225 inner-val 0.10400 best 0.10400@39500 (2163s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:38:10 step 39750 train 0.10220 inner-val 0.10399 best 0.10399@39750 (2177s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:38:24 step 40000 train 0.10204 inner-val 0.10399 best 0.10399@40000 (2191s) immicro=0.0976 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:38:26 block end 40000: best 0.10399@40000; block improvement 0.000317 (3.26 % of total 0.009711) -> continue
+2026-10-03T15:38:40 step 40250 train 0.10221 inner-val 0.10398 best 0.10398@40250 (2207s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:38:55 step 40500 train 0.10229 inner-val 0.10398 best 0.10398@40500 (2222s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:39:09 step 40750 train 0.10181 inner-val 0.10398 best 0.10398@40750 (2236s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:39:24 step 41000 train 0.10193 inner-val 0.10397 best 0.10397@41000 (2250s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:39:38 step 41250 train 0.10201 inner-val 0.10397 best 0.10397@41250 (2265s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:39:53 step 41500 train 0.10211 inner-val 0.10397 best 0.10397@41500 (2279s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:40:07 step 41750 train 0.10209 inner-val 0.10396 best 0.10396@41750 (2294s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:40:21 step 42000 train 0.10193 inner-val 0.10396 best 0.10396@42000 (2308s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:40:34 step 42250 train 0.10196 inner-val 0.10396 best 0.10396@42250 (2322s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1013
+2026-10-03T15:40:48 step 42500 train 0.10232 inner-val 0.10395 best 0.10395@42500 (2336s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:41:02 step 42750 train 0.10188 inner-val 0.10395 best 0.10395@42750 (2349s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:41:15 step 43000 train 0.10168 inner-val 0.10395 best 0.10395@42750 (2363s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:41:29 step 43250 train 0.10226 inner-val 0.10395 best 0.10395@43250 (2376s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:41:42 step 43500 train 0.10216 inner-val 0.10394 best 0.10394@43500 (2390s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:41:55 step 43750 train 0.10246 inner-val 0.10395 best 0.10394@43500 (2403s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:42:07 step 44000 train 0.10176 inner-val 0.10394 best 0.10394@43500 (2416s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:42:21 step 44250 train 0.10213 inner-val 0.10394 best 0.10394@44250 (2428s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:42:35 step 44500 train 0.10225 inner-val 0.10394 best 0.10394@44500 (2442s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:42:49 step 44750 train 0.10200 inner-val 0.10394 best 0.10394@44750 (2456s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:43:02 step 45000 train 0.10202 inner-val 0.10394 best 0.10394@44750 (2470s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:43:15 step 45250 train 0.10227 inner-val 0.10394 best 0.10394@45250 (2483s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:43:29 step 45500 train 0.10244 inner-val 0.10393 best 0.10393@45500 (2496s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:43:43 step 45750 train 0.10190 inner-val 0.10393 best 0.10393@45750 (2510s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:43:57 step 46000 train 0.10219 inner-val 0.10393 best 0.10393@46000 (2524s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:44:11 step 46250 train 0.10190 inner-val 0.10392 best 0.10392@46250 (2538s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:44:25 step 46500 train 0.10216 inner-val 0.10392 best 0.10392@46500 (2552s) immicro=0.0975 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:44:39 step 46750 train 0.10177 inner-val 0.10392 best 0.10392@46750 (2566s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:44:52 step 47000 train 0.10187 inner-val 0.10391 best 0.10391@47000 (2580s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:45:06 step 47250 train 0.10198 inner-val 0.10391 best 0.10391@47250 (2594s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:45:20 step 47500 train 0.10205 inner-val 0.10391 best 0.10391@47500 (2607s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:45:34 step 47750 train 0.10191 inner-val 0.10390 best 0.10390@47750 (2621s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:45:48 step 48000 train 0.10212 inner-val 0.10390 best 0.10390@48000 (2635s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:46:02 step 48250 train 0.10204 inner-val 0.10390 best 0.10390@48250 (2649s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:46:14 step 48500 train 0.10190 inner-val 0.10390 best 0.10390@48250 (2663s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:46:28 step 48750 train 0.10169 inner-val 0.10389 best 0.10389@48750 (2675s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:46:42 step 49000 train 0.10212 inner-val 0.10389 best 0.10389@49000 (2689s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1013
+2026-10-03T15:46:56 step 49250 train 0.10195 inner-val 0.10389 best 0.10389@49250 (2703s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:47:10 step 49500 train 0.10181 inner-val 0.10389 best 0.10389@49500 (2717s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:47:25 step 49750 train 0.10209 inner-val 0.10388 best 0.10388@49750 (2732s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:47:39 step 50000 train 0.10126 inner-val 0.10388 best 0.10388@50000 (2746s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:47:52 step 50250 train 0.10164 inner-val 0.10388 best 0.10388@50250 (2760s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:48:06 step 50500 train 0.10199 inner-val 0.10388 best 0.10388@50500 (2773s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:48:20 step 50750 train 0.10166 inner-val 0.10387 best 0.10387@50750 (2787s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:48:34 step 51000 train 0.10190 inner-val 0.10387 best 0.10387@51000 (2801s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:48:48 step 51250 train 0.10184 inner-val 0.10387 best 0.10387@51250 (2815s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:49:01 step 51500 train 0.10188 inner-val 0.10386 best 0.10386@51500 (2829s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:49:16 step 51750 train 0.10200 inner-val 0.10386 best 0.10386@51750 (2843s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:49:30 step 52000 train 0.10210 inner-val 0.10386 best 0.10386@52000 (2857s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:49:42 step 52250 train 0.10206 inner-val 0.10386 best 0.10386@52000 (2871s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:49:55 step 52500 train 0.10239 inner-val 0.10386 best 0.10386@52000 (2884s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:50:08 step 52750 train 0.10214 inner-val 0.10386 best 0.10386@52000 (2896s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:50:22 step 53000 train 0.10160 inner-val 0.10385 best 0.10385@53000 (2909s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:50:35 step 53250 train 0.10196 inner-val 0.10385 best 0.10385@53250 (2923s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:50:49 step 53500 train 0.10163 inner-val 0.10385 best 0.10385@53500 (2936s) immicro=0.0974 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:51:03 step 53750 train 0.10194 inner-val 0.10385 best 0.10385@53750 (2950s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:51:16 step 54000 train 0.10171 inner-val 0.10384 best 0.10384@54000 (2964s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:51:30 step 54250 train 0.10212 inner-val 0.10384 best 0.10384@54250 (2978s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:51:44 step 54500 train 0.10177 inner-val 0.10383 best 0.10383@54500 (2991s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:51:58 step 54750 train 0.10160 inner-val 0.10383 best 0.10383@54750 (3005s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:52:10 step 55000 train 0.10185 inner-val 0.10383 best 0.10383@54750 (3019s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:52:24 step 55250 train 0.10160 inner-val 0.10383 best 0.10383@55250 (3031s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:52:38 step 55500 train 0.10199 inner-val 0.10382 best 0.10382@55500 (3045s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:52:51 step 55750 train 0.10175 inner-val 0.10382 best 0.10382@55750 (3059s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:53:05 step 56000 train 0.10173 inner-val 0.10382 best 0.10382@56000 (3072s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:53:19 step 56250 train 0.10204 inner-val 0.10381 best 0.10381@56250 (3086s) immicro=0.0973 ye2026_sepsis=0.1130 liu2021=0.1012
+2026-10-03T15:53:34 step 56500 train 0.10154 inner-val 0.10381 best 0.10381@56500 (3101s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:53:48 step 56750 train 0.10153 inner-val 0.10380 best 0.10380@56750 (3115s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:54:02 step 57000 train 0.10166 inner-val 0.10380 best 0.10380@57000 (3129s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:54:16 step 57250 train 0.10206 inner-val 0.10380 best 0.10380@57250 (3144s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:54:31 step 57500 train 0.10173 inner-val 0.10379 best 0.10379@57500 (3158s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:54:43 step 57750 train 0.10141 inner-val 0.10380 best 0.10379@57500 (3172s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:54:56 step 58000 train 0.10169 inner-val 0.10380 best 0.10379@57500 (3184s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:55:08 step 58250 train 0.10195 inner-val 0.10380 best 0.10379@57500 (3197s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:55:21 step 58500 train 0.10191 inner-val 0.10380 best 0.10379@57500 (3209s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:55:33 step 58750 train 0.10227 inner-val 0.10380 best 0.10379@57500 (3222s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:55:47 step 59000 train 0.10192 inner-val 0.10379 best 0.10379@59000 (3234s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:56:01 step 59250 train 0.10161 inner-val 0.10379 best 0.10379@59250 (3248s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:56:15 step 59500 train 0.10162 inner-val 0.10378 best 0.10378@59500 (3262s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:56:27 step 59750 train 0.10209 inner-val 0.10378 best 0.10378@59500 (3276s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:56:39 step 60000 train 0.10157 inner-val 0.10378 best 0.10378@59500 (3288s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:56:41 block end 60000: best 0.10378@59500; block improvement 0.000206 (2.08 % of total 0.009918) -> continue
+2026-10-03T15:56:55 step 60250 train 0.10167 inner-val 0.10378 best 0.10378@60250 (3302s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:57:09 step 60500 train 0.10189 inner-val 0.10378 best 0.10378@60500 (3316s) immicro=0.0973 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:57:23 step 60750 train 0.10152 inner-val 0.10377 best 0.10377@60750 (3330s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:57:35 step 61000 train 0.10201 inner-val 0.10378 best 0.10377@60750 (3344s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:57:48 step 61250 train 0.10210 inner-val 0.10378 best 0.10377@60750 (3356s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:58:00 step 61500 train 0.10157 inner-val 0.10377 best 0.10377@60750 (3369s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:58:14 step 61750 train 0.10179 inner-val 0.10377 best 0.10377@61750 (3381s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:58:27 step 62000 train 0.10170 inner-val 0.10377 best 0.10377@61750 (3395s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:58:41 step 62250 train 0.10160 inner-val 0.10377 best 0.10377@62250 (3408s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:58:54 step 62500 train 0.10172 inner-val 0.10376 best 0.10376@62500 (3422s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1012
+2026-10-03T15:59:08 step 62750 train 0.10166 inner-val 0.10376 best 0.10376@62750 (3435s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T15:59:21 step 63000 train 0.10163 inner-val 0.10376 best 0.10376@62750 (3449s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T15:59:33 step 63250 train 0.10197 inner-val 0.10376 best 0.10376@62750 (3462s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T15:59:47 step 63500 train 0.10168 inner-val 0.10375 best 0.10375@63500 (3474s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:00:00 step 63750 train 0.10188 inner-val 0.10376 best 0.10375@63500 (3488s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:00:11 step 64000 train 0.10178 inner-val 0.10375 best 0.10375@63500 (3500s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:00:24 step 64250 train 0.10172 inner-val 0.10375 best 0.10375@64250 (3511s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:00:37 step 64500 train 0.10170 inner-val 0.10375 best 0.10375@64500 (3524s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:00:48 step 64750 train 0.10185 inner-val 0.10375 best 0.10375@64500 (3536s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:01:00 step 65000 train 0.10183 inner-val 0.10375 best 0.10375@65000 (3548s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:01:13 step 65250 train 0.10173 inner-val 0.10374 best 0.10374@65250 (3560s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:01:26 step 65500 train 0.10149 inner-val 0.10374 best 0.10374@65500 (3573s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:01:39 step 65750 train 0.10184 inner-val 0.10374 best 0.10374@65750 (3586s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:01:50 step 66000 train 0.10155 inner-val 0.10374 best 0.10374@65750 (3598s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:02:02 step 66250 train 0.10146 inner-val 0.10373 best 0.10373@66250 (3610s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:02:15 step 66500 train 0.10193 inner-val 0.10373 best 0.10373@66250 (3623s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:02:29 step 66750 train 0.10142 inner-val 0.10373 best 0.10373@66750 (3636s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:02:42 step 67000 train 0.10184 inner-val 0.10372 best 0.10372@67000 (3650s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:02:55 step 67250 train 0.10152 inner-val 0.10372 best 0.10372@67000 (3663s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:03:07 step 67500 train 0.10175 inner-val 0.10372 best 0.10372@67000 (3676s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:03:20 step 67750 train 0.10162 inner-val 0.10373 best 0.10372@67000 (3688s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:03:32 step 68000 train 0.10168 inner-val 0.10372 best 0.10372@67000 (3701s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:03:46 step 68250 train 0.10169 inner-val 0.10372 best 0.10372@68250 (3713s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:03:59 step 68500 train 0.10165 inner-val 0.10372 best 0.10372@68250 (3727s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:04:12 step 68750 train 0.10177 inner-val 0.10372 best 0.10372@68750 (3740s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:04:25 step 69000 train 0.10144 inner-val 0.10372 best 0.10372@68750 (3753s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:04:38 step 69250 train 0.10175 inner-val 0.10371 best 0.10371@69250 (3766s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:04:51 step 69500 train 0.10111 inner-val 0.10371 best 0.10371@69250 (3780s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:05:03 step 69750 train 0.10174 inner-val 0.10371 best 0.10371@69250 (3792s) immicro=0.0972 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:05:15 step 70000 train 0.10152 inner-val 0.10371 best 0.10371@69250 (3804s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:05:28 step 70250 train 0.10158 inner-val 0.10370 best 0.10370@70250 (3815s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:05:42 step 70500 train 0.10165 inner-val 0.10370 best 0.10370@70500 (3828s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:05:55 step 70750 train 0.10137 inner-val 0.10370 best 0.10370@70750 (3842s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:06:06 step 71000 train 0.10150 inner-val 0.10370 best 0.10370@70750 (3854s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:06:19 step 71250 train 0.10194 inner-val 0.10370 best 0.10370@71250 (3867s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:06:32 step 71500 train 0.10154 inner-val 0.10369 best 0.10369@71500 (3879s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:06:45 step 71750 train 0.10153 inner-val 0.10369 best 0.10369@71750 (3892s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:06:57 step 72000 train 0.10155 inner-val 0.10369 best 0.10369@72000 (3904s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:07:10 step 72250 train 0.10130 inner-val 0.10369 best 0.10369@72250 (3917s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:07:22 step 72500 train 0.10200 inner-val 0.10368 best 0.10369@72250 (3931s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:07:35 step 72750 train 0.10155 inner-val 0.10368 best 0.10368@72750 (3942s) immicro=0.0971 ye2026_sepsis=0.1129 liu2021=0.1011
+2026-10-03T16:07:47 step 73000 train 0.10113 inner-val 0.10368 best 0.10368@72750 (3955s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:07:58 step 73250 train 0.10177 inner-val 0.10368 best 0.10368@72750 (3966s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:08:11 step 73500 train 0.10165 inner-val 0.10368 best 0.10368@73500 (3979s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:08:25 step 73750 train 0.10164 inner-val 0.10367 best 0.10367@73750 (3992s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:08:37 step 74000 train 0.10128 inner-val 0.10367 best 0.10367@74000 (4004s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:08:49 step 74250 train 0.10149 inner-val 0.10366 best 0.10366@74250 (4017s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:09:01 step 74500 train 0.10146 inner-val 0.10366 best 0.10366@74250 (4029s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:09:13 step 74750 train 0.10142 inner-val 0.10366 best 0.10366@74750 (4040s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:09:26 step 75000 train 0.10166 inner-val 0.10366 best 0.10366@75000 (4053s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:09:38 step 75250 train 0.10113 inner-val 0.10366 best 0.10366@75250 (4065s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:09:51 step 75500 train 0.10162 inner-val 0.10365 best 0.10365@75500 (4078s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:10:03 step 75750 train 0.10141 inner-val 0.10365 best 0.10365@75750 (4090s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:10:16 step 76000 train 0.10145 inner-val 0.10365 best 0.10365@76000 (4103s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:10:27 step 76250 train 0.10143 inner-val 0.10365 best 0.10365@76000 (4116s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:10:40 step 76500 train 0.10151 inner-val 0.10365 best 0.10365@76500 (4127s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:10:52 step 76750 train 0.10156 inner-val 0.10365 best 0.10365@76500 (4140s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:11:03 step 77000 train 0.10165 inner-val 0.10365 best 0.10365@76500 (4152s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:11:15 step 77250 train 0.10152 inner-val 0.10365 best 0.10365@76500 (4163s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:11:26 step 77500 train 0.10177 inner-val 0.10365 best 0.10365@76500 (4174s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:11:39 step 77750 train 0.10145 inner-val 0.10364 best 0.10364@77750 (4186s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:11:52 step 78000 train 0.10133 inner-val 0.10364 best 0.10364@78000 (4199s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1011
+2026-10-03T16:12:03 step 78250 train 0.10120 inner-val 0.10364 best 0.10364@78000 (4212s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:12:16 step 78500 train 0.10176 inner-val 0.10364 best 0.10364@78500 (4223s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:12:29 step 78750 train 0.10158 inner-val 0.10364 best 0.10364@78750 (4236s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:12:42 step 79000 train 0.10120 inner-val 0.10363 best 0.10363@79000 (4249s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:12:54 step 79250 train 0.10144 inner-val 0.10363 best 0.10363@79000 (4262s) immicro=0.0971 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:13:06 step 79500 train 0.10147 inner-val 0.10363 best 0.10363@79500 (4274s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:13:19 step 79750 train 0.10159 inner-val 0.10363 best 0.10363@79750 (4286s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:13:30 step 80000 train 0.10163 inner-val 0.10363 best 0.10363@79750 (4298s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:13:31 block end 80000: best 0.10363@79750; block improvement 0.000152 (1.51 % of total 0.010070) -> continue
+2026-10-03T16:13:42 step 80250 train 0.10142 inner-val 0.10363 best 0.10363@79750 (4311s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:13:53 step 80500 train 0.10154 inner-val 0.10363 best 0.10363@79750 (4322s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:14:05 step 80750 train 0.10142 inner-val 0.10363 best 0.10363@79750 (4333s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:14:17 step 81000 train 0.10160 inner-val 0.10363 best 0.10363@81000 (4344s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:14:29 step 81250 train 0.10107 inner-val 0.10362 best 0.10362@81250 (4356s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:14:42 step 81500 train 0.10145 inner-val 0.10362 best 0.10362@81500 (4369s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:14:54 step 81750 train 0.10161 inner-val 0.10362 best 0.10362@81750 (4381s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:15:06 step 82000 train 0.10154 inner-val 0.10361 best 0.10361@82000 (4394s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:15:19 step 82250 train 0.10149 inner-val 0.10361 best 0.10361@82250 (4406s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:15:30 step 82500 train 0.10168 inner-val 0.10361 best 0.10361@82250 (4419s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:15:43 step 82750 train 0.10134 inner-val 0.10361 best 0.10361@82750 (4430s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:15:55 step 83000 train 0.10143 inner-val 0.10361 best 0.10361@83000 (4442s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:16:06 step 83250 train 0.10140 inner-val 0.10361 best 0.10361@83000 (4455s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:16:18 step 83500 train 0.10127 inner-val 0.10360 best 0.10360@83500 (4466s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:16:29 step 83750 train 0.10136 inner-val 0.10361 best 0.10360@83500 (4478s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:16:41 step 84000 train 0.10126 inner-val 0.10360 best 0.10360@83500 (4489s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:16:54 step 84250 train 0.10120 inner-val 0.10360 best 0.10360@84250 (4501s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:17:06 step 84500 train 0.10111 inner-val 0.10360 best 0.10360@84500 (4513s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:17:19 step 84750 train 0.10144 inner-val 0.10359 best 0.10359@84750 (4526s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:17:32 step 85000 train 0.10152 inner-val 0.10359 best 0.10359@85000 (4539s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:17:45 step 85250 train 0.10161 inner-val 0.10359 best 0.10359@85250 (4552s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:17:57 step 85500 train 0.10155 inner-val 0.10358 best 0.10358@85500 (4564s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:18:10 step 85750 train 0.10160 inner-val 0.10358 best 0.10358@85750 (4577s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:18:21 step 86000 train 0.10145 inner-val 0.10358 best 0.10358@85750 (4589s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:18:32 step 86250 train 0.10159 inner-val 0.10359 best 0.10358@85750 (4600s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:18:43 step 86500 train 0.10128 inner-val 0.10359 best 0.10358@85750 (4611s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:18:54 step 86750 train 0.10106 inner-val 0.10358 best 0.10358@85750 (4622s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:19:05 step 87000 train 0.10134 inner-val 0.10359 best 0.10358@85750 (4633s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:19:16 step 87250 train 0.10122 inner-val 0.10358 best 0.10358@85750 (4644s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:19:27 step 87500 train 0.10139 inner-val 0.10358 best 0.10358@85750 (4656s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:19:40 step 87750 train 0.10136 inner-val 0.10358 best 0.10358@87750 (4667s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:19:51 step 88000 train 0.10140 inner-val 0.10358 best 0.10358@87750 (4679s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:20:02 step 88250 train 0.10117 inner-val 0.10358 best 0.10358@87750 (4690s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:20:14 step 88500 train 0.10125 inner-val 0.10358 best 0.10358@88500 (4701s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:20:26 step 88750 train 0.10143 inner-val 0.10357 best 0.10357@88750 (4714s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:20:39 step 89000 train 0.10172 inner-val 0.10357 best 0.10357@89000 (4726s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:20:51 step 89250 train 0.10176 inner-val 0.10357 best 0.10357@89250 (4738s) immicro=0.0970 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:21:04 step 89500 train 0.10129 inner-val 0.10357 best 0.10357@89500 (4751s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:21:16 step 89750 train 0.10168 inner-val 0.10357 best 0.10357@89500 (4765s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:21:30 step 90000 train 0.10129 inner-val 0.10356 best 0.10356@90000 (4778s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:21:44 step 90250 train 0.10138 inner-val 0.10356 best 0.10356@90250 (4792s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:21:58 step 90500 train 0.10138 inner-val 0.10356 best 0.10356@90500 (4806s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:22:13 step 90750 train 0.10124 inner-val 0.10355 best 0.10355@90750 (4820s) immicro=0.0969 ye2026_sepsis=0.1127 liu2021=0.1010
+2026-10-03T16:22:27 step 91000 train 0.10127 inner-val 0.10355 best 0.10355@91000 (4834s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:22:39 step 91250 train 0.10132 inner-val 0.10355 best 0.10355@91000 (4848s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:22:52 step 91500 train 0.10119 inner-val 0.10355 best 0.10355@91000 (4861s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:23:05 step 91750 train 0.10118 inner-val 0.10355 best 0.10355@91000 (4873s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:23:17 step 92000 train 0.10111 inner-val 0.10356 best 0.10355@91000 (4886s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:23:30 step 92250 train 0.10150 inner-val 0.10356 best 0.10355@91000 (4898s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:23:43 step 92500 train 0.10115 inner-val 0.10355 best 0.10355@91000 (4911s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:23:55 step 92750 train 0.10130 inner-val 0.10356 best 0.10355@91000 (4924s) immicro=0.0969 ye2026_sepsis=0.1128 liu2021=0.1010
+2026-10-03T16:24:08 step 93000 train 0.10132 inner-val 0.10355 best 0.10355@91000 (4936s) immicro=0.0969 ye2026_sepsis=0.1127 liu2021=0.1010
+2026-10-03T16:24:08 early stop: no improvement in 8 evaluations
+2026-10-03T16:24:16 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/fullsat/checkpoint_ft.pt (selected step 91000, inner-val 0.10355 vs pretrained 0.11370); sha 704c58eb45cd

paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/lora16/RUN.json

@@ -0,0 +1,516 @@
+{
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+ "source_checkpoint_sha256": "8c7cd0e83e2bc19fe03dfcbc084919a1e2f61be8cc8bc12f4caf543dfda91633",
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paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/lora16/train.log

@@ -0,0 +1,83 @@
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+2026-10-03T00:08:23 step 19250 train 0.10317 inner-val 0.10484 best 0.10484@19250 (876s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T00:08:35 step 19500 train 0.10318 inner-val 0.10483 best 0.10483@19500 (888s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T00:08:47 step 19750 train 0.10321 inner-val 0.10483 best 0.10483@19750 (899s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T00:08:58 step 20000 train 0.10326 inner-val 0.10483 best 0.10483@19750 (911s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T00:09:02 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/lora16/checkpoint_ft.pt (selected step 19750, inner-val 0.10483 vs pretrained 0.11370); sha 323106c6796e