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/lora64sat/RUN.json

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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/lora64sat/history.json

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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/lora64sat/milestones.json

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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/lora64sat/train.log

@@ -0,0 +1,284 @@
+2026-10-03T08:36:54 split=hoL_imperial_eskd K=1000 mode=lora trainable=5,184,896 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
+2026-10-03T08:36:56 step 0 inner-val loss 0.11370 (pretrained) {'immicro': 0.10636159498244524, 'ye2026_sepsis': 0.12489082664251328, 'liu2021': 0.10984707903116941}
+2026-10-03T08:37:06 step 250 train 0.10655 inner-val 0.11276 best 0.11276@250 (11s) immicro=0.1054 ye2026_sepsis=0.1240 liu2021=0.1089
+2026-10-03T08:37:19 step 500 train 0.10429 inner-val 0.11096 best 0.11096@500 (23s) immicro=0.1039 ye2026_sepsis=0.1220 liu2021=0.1070
+2026-10-03T08:37:30 step 750 train 0.10422 inner-val 0.10911 best 0.10911@750 (35s) immicro=0.1025 ye2026_sepsis=0.1196 liu2021=0.1053
+2026-10-03T08:37:42 step 1000 train 0.10373 inner-val 0.10764 best 0.10764@1000 (47s) immicro=0.1014 ye2026_sepsis=0.1174 liu2021=0.1041
+2026-10-03T08:37:54 step 1250 train 0.10389 inner-val 0.10667 best 0.10667@1250 (59s) immicro=0.1006 ye2026_sepsis=0.1160 liu2021=0.1034
+2026-10-03T08:38:06 step 1500 train 0.10365 inner-val 0.10608 best 0.10608@1500 (70s) immicro=0.1001 ye2026_sepsis=0.1152 liu2021=0.1030
+2026-10-03T08:38:18 step 1750 train 0.10365 inner-val 0.10571 best 0.10571@1750 (82s) immicro=0.0997 ye2026_sepsis=0.1147 liu2021=0.1028
+2026-10-03T08:38:30 step 2000 train 0.10347 inner-val 0.10547 best 0.10547@2000 (94s) immicro=0.0994 ye2026_sepsis=0.1144 liu2021=0.1026
+2026-10-03T08:38:42 step 2250 train 0.10355 inner-val 0.10530 best 0.10530@2250 (106s) immicro=0.0992 ye2026_sepsis=0.1142 liu2021=0.1025
+2026-10-03T08:38:52 step 2500 train 0.10375 inner-val 0.10519 best 0.10519@2500 (116s) immicro=0.0991 ye2026_sepsis=0.1141 liu2021=0.1025
+2026-10-03T08:39:02 step 2750 train 0.10341 inner-val 0.10510 best 0.10510@2750 (127s) immicro=0.0989 ye2026_sepsis=0.1140 liu2021=0.1024
+2026-10-03T08:39:14 step 3000 train 0.10348 inner-val 0.10504 best 0.10504@3000 (139s) immicro=0.0989 ye2026_sepsis=0.1139 liu2021=0.1023
+2026-10-03T08:39:26 step 3250 train 0.10359 inner-val 0.10500 best 0.10500@3250 (150s) immicro=0.0988 ye2026_sepsis=0.1139 liu2021=0.1023
+2026-10-03T08:39:38 step 3500 train 0.10359 inner-val 0.10496 best 0.10496@3500 (162s) immicro=0.0987 ye2026_sepsis=0.1138 liu2021=0.1023
+2026-10-03T08:39:50 step 3750 train 0.10338 inner-val 0.10494 best 0.10494@3750 (174s) immicro=0.0987 ye2026_sepsis=0.1138 liu2021=0.1023
+2026-10-03T08:40:01 step 4000 train 0.10322 inner-val 0.10491 best 0.10491@4000 (186s) immicro=0.0987 ye2026_sepsis=0.1138 liu2021=0.1023
+2026-10-03T08:40:13 step 4250 train 0.10352 inner-val 0.10490 best 0.10490@4250 (198s) immicro=0.0987 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:40:25 step 4500 train 0.10352 inner-val 0.10488 best 0.10488@4500 (210s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:40:37 step 4750 train 0.10331 inner-val 0.10487 best 0.10487@4750 (222s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:40:48 step 5000 train 0.10356 inner-val 0.10486 best 0.10486@5000 (232s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:41:00 step 5250 train 0.10317 inner-val 0.10484 best 0.10484@5250 (244s) immicro=0.0986 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:41:12 step 5500 train 0.10330 inner-val 0.10483 best 0.10483@5500 (256s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:41:24 step 5750 train 0.10284 inner-val 0.10483 best 0.10483@5750 (268s) immicro=0.0985 ye2026_sepsis=0.1138 liu2021=0.1022
+2026-10-03T08:41:35 step 6000 train 0.10317 inner-val 0.10482 best 0.10482@6000 (280s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1022
+2026-10-03T08:41:46 step 6250 train 0.10345 inner-val 0.10480 best 0.10480@6250 (290s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1022
+2026-10-03T08:41:56 step 6500 train 0.10342 inner-val 0.10479 best 0.10479@6500 (301s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1022
+2026-10-03T08:42:08 step 6750 train 0.10310 inner-val 0.10478 best 0.10478@6750 (313s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:42:20 step 7000 train 0.10312 inner-val 0.10477 best 0.10477@7000 (324s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:42:31 step 7250 train 0.10331 inner-val 0.10477 best 0.10477@7250 (336s) immicro=0.0985 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:42:43 step 7500 train 0.10322 inner-val 0.10476 best 0.10476@7500 (347s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:42:55 step 7750 train 0.10307 inner-val 0.10475 best 0.10475@7750 (359s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
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+2026-10-03T08:43:17 step 8250 train 0.10327 inner-val 0.10474 best 0.10474@8250 (382s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:43:28 step 8500 train 0.10286 inner-val 0.10473 best 0.10473@8500 (393s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:43:39 step 8750 train 0.10327 inner-val 0.10472 best 0.10472@8750 (404s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:43:51 step 9000 train 0.10307 inner-val 0.10472 best 0.10472@9000 (416s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1021
+2026-10-03T08:44:03 step 9250 train 0.10308 inner-val 0.10472 best 0.10472@9000 (427s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:44:15 step 9500 train 0.10318 inner-val 0.10471 best 0.10471@9500 (439s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1020
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+2026-10-03T08:44:38 step 10000 train 0.10292 inner-val 0.10470 best 0.10470@10000 (463s) immicro=0.0984 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:44:50 step 10250 train 0.10306 inner-val 0.10469 best 0.10469@10250 (474s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:00 step 10500 train 0.10315 inner-val 0.10469 best 0.10469@10500 (484s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:11 step 10750 train 0.10311 inner-val 0.10468 best 0.10468@10750 (496s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:23 step 11000 train 0.10320 inner-val 0.10467 best 0.10467@11000 (508s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:34 step 11250 train 0.10286 inner-val 0.10467 best 0.10467@11250 (518s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:44 step 11500 train 0.10314 inner-val 0.10467 best 0.10467@11500 (528s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:45:54 step 11750 train 0.10297 inner-val 0.10467 best 0.10467@11750 (539s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:46:05 step 12000 train 0.10273 inner-val 0.10466 best 0.10466@12000 (549s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:46:15 step 12250 train 0.10284 inner-val 0.10466 best 0.10466@12250 (559s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
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+2026-10-03T08:46:38 step 12750 train 0.10299 inner-val 0.10465 best 0.10465@12750 (582s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
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+2026-10-03T08:47:02 step 13250 train 0.10315 inner-val 0.10463 best 0.10463@13250 (606s) immicro=0.0983 ye2026_sepsis=0.1137 liu2021=0.1020
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+2026-10-03T08:47:49 step 14250 train 0.10272 inner-val 0.10461 best 0.10461@14250 (654s) immicro=0.0982 ye2026_sepsis=0.1137 liu2021=0.1020
+2026-10-03T08:48:01 step 14500 train 0.10314 inner-val 0.10460 best 0.10460@14500 (666s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1020
+2026-10-03T08:48:12 step 14750 train 0.10309 inner-val 0.10460 best 0.10460@14500 (676s) immicro=0.0982 ye2026_sepsis=0.1137 liu2021=0.1019
+2026-10-03T08:48:23 step 15000 train 0.10323 inner-val 0.10460 best 0.10460@15000 (688s) immicro=0.0982 ye2026_sepsis=0.1137 liu2021=0.1019
+2026-10-03T08:48:35 step 15250 train 0.10284 inner-val 0.10460 best 0.10460@15250 (700s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T08:48:47 step 15500 train 0.10316 inner-val 0.10459 best 0.10459@15500 (712s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T08:48:59 step 15750 train 0.10285 inner-val 0.10458 best 0.10458@15750 (723s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T08:49:10 step 16000 train 0.10278 inner-val 0.10457 best 0.10457@16000 (735s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T08:49:20 step 16250 train 0.10296 inner-val 0.10457 best 0.10457@16250 (745s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
+2026-10-03T08:49:31 step 16500 train 0.10304 inner-val 0.10457 best 0.10457@16500 (755s) immicro=0.0982 ye2026_sepsis=0.1136 liu2021=0.1019
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+2026-10-03T08:50:05 step 17250 train 0.10312 inner-val 0.10455 best 0.10455@17250 (790s) immicro=0.0981 ye2026_sepsis=0.1136 liu2021=0.1019
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+2026-10-03T08:51:26 step 19000 train 0.10280 inner-val 0.10451 best 0.10451@19000 (870s) immicro=0.0981 ye2026_sepsis=0.1136 liu2021=0.1019
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+2026-10-03T08:52:14 block end 20000: best 0.10449@20000; block improvement 0.009212 (100.00 % of total 0.009212) -> continue
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+2026-10-03T08:56:00 step 25000 train 0.10249 inner-val 0.10442 best 0.10442@25000 (1144s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:56:11 step 25250 train 0.10252 inner-val 0.10441 best 0.10441@25250 (1156s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:56:23 step 25500 train 0.10271 inner-val 0.10441 best 0.10441@25500 (1168s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:56:35 step 25750 train 0.10260 inner-val 0.10441 best 0.10441@25750 (1179s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:56:47 step 26000 train 0.10273 inner-val 0.10441 best 0.10441@26000 (1191s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:56:59 step 26250 train 0.10277 inner-val 0.10440 best 0.10440@26250 (1203s) immicro=0.0980 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:57:10 step 26500 train 0.10275 inner-val 0.10440 best 0.10440@26500 (1215s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:57:22 step 26750 train 0.10255 inner-val 0.10439 best 0.10439@26750 (1227s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:57:34 step 27000 train 0.10294 inner-val 0.10439 best 0.10439@27000 (1238s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:57:46 step 27250 train 0.10284 inner-val 0.10438 best 0.10438@27250 (1250s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:57:57 step 27500 train 0.10263 inner-val 0.10439 best 0.10438@27250 (1262s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:58:09 step 27750 train 0.10278 inner-val 0.10438 best 0.10438@27750 (1273s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T08:58:21 step 28000 train 0.10255 inner-val 0.10437 best 0.10437@28000 (1285s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T08:58:33 step 28250 train 0.10263 inner-val 0.10437 best 0.10437@28000 (1297s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T08:58:45 step 28500 train 0.10239 inner-val 0.10437 best 0.10437@28000 (1309s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1018
+2026-10-03T08:58:57 step 28750 train 0.10260 inner-val 0.10437 best 0.10437@28750 (1321s) immicro=0.0979 ye2026_sepsis=0.1135 liu2021=0.1017
+2026-10-03T08:59:08 step 29000 train 0.10260 inner-val 0.10437 best 0.10437@29000 (1333s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1018
+2026-10-03T08:59:21 step 29250 train 0.10291 inner-val 0.10436 best 0.10436@29250 (1345s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T08:59:33 step 29500 train 0.10234 inner-val 0.10435 best 0.10435@29500 (1357s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T08:59:45 step 29750 train 0.10256 inner-val 0.10435 best 0.10435@29750 (1369s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T08:59:57 step 30000 train 0.10233 inner-val 0.10434 best 0.10434@30000 (1381s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:00:08 step 30250 train 0.10248 inner-val 0.10433 best 0.10433@30250 (1393s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:00:20 step 30500 train 0.10243 inner-val 0.10433 best 0.10433@30500 (1405s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:00:32 step 30750 train 0.10263 inner-val 0.10433 best 0.10433@30750 (1416s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:00:44 step 31000 train 0.10227 inner-val 0.10432 best 0.10432@31000 (1428s) immicro=0.0979 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:00:55 step 31250 train 0.10256 inner-val 0.10432 best 0.10432@31250 (1440s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:01:07 step 31500 train 0.10221 inner-val 0.10432 best 0.10432@31250 (1452s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:01:19 step 31750 train 0.10256 inner-val 0.10431 best 0.10431@31750 (1463s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:01:31 step 32000 train 0.10253 inner-val 0.10431 best 0.10431@32000 (1475s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:01:42 step 32250 train 0.10264 inner-val 0.10431 best 0.10431@32250 (1486s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:01:52 step 32500 train 0.10235 inner-val 0.10430 best 0.10430@32500 (1497s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:02:03 step 32750 train 0.10259 inner-val 0.10430 best 0.10430@32750 (1507s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:02:14 step 33000 train 0.10255 inner-val 0.10430 best 0.10430@33000 (1519s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:02:26 step 33250 train 0.10253 inner-val 0.10430 best 0.10430@33000 (1530s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:02:38 step 33500 train 0.10216 inner-val 0.10429 best 0.10429@33500 (1542s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:02:50 step 33750 train 0.10248 inner-val 0.10429 best 0.10429@33750 (1554s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:03:02 step 34000 train 0.10266 inner-val 0.10428 best 0.10428@34000 (1566s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:03:14 step 34250 train 0.10253 inner-val 0.10427 best 0.10427@34250 (1578s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:03:26 step 34500 train 0.10254 inner-val 0.10427 best 0.10427@34500 (1590s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1017
+2026-10-03T09:03:38 step 34750 train 0.10256 inner-val 0.10427 best 0.10427@34750 (1602s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:03:50 step 35000 train 0.10271 inner-val 0.10426 best 0.10426@35000 (1614s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:00 step 35250 train 0.10233 inner-val 0.10426 best 0.10426@35250 (1625s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:11 step 35500 train 0.10275 inner-val 0.10426 best 0.10426@35500 (1635s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:21 step 35750 train 0.10244 inner-val 0.10425 best 0.10425@35750 (1646s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:31 step 36000 train 0.10255 inner-val 0.10425 best 0.10425@36000 (1656s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:42 step 36250 train 0.10261 inner-val 0.10425 best 0.10425@36000 (1666s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:04:52 step 36500 train 0.10221 inner-val 0.10424 best 0.10424@36500 (1677s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:05:03 step 36750 train 0.10252 inner-val 0.10424 best 0.10424@36750 (1687s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:05:13 step 37000 train 0.10223 inner-val 0.10424 best 0.10424@36750 (1697s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:05:23 step 37250 train 0.10246 inner-val 0.10424 best 0.10424@37250 (1708s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:05:34 step 37500 train 0.10261 inner-val 0.10424 best 0.10424@37250 (1718s) immicro=0.0978 ye2026_sepsis=0.1134 liu2021=0.1016
+2026-10-03T09:05:45 step 37750 train 0.10243 inner-val 0.10423 best 0.10423@37750 (1729s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:05:57 step 38000 train 0.10268 inner-val 0.10423 best 0.10423@38000 (1741s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:06:08 step 38250 train 0.10258 inner-val 0.10422 best 0.10422@38250 (1753s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:06:20 step 38500 train 0.10241 inner-val 0.10423 best 0.10422@38250 (1765s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:06:32 step 38750 train 0.10235 inner-val 0.10422 best 0.10422@38250 (1776s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:06:44 step 39000 train 0.10242 inner-val 0.10422 best 0.10422@39000 (1788s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:06:56 step 39250 train 0.10235 inner-val 0.10422 best 0.10422@39250 (1800s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:07:08 step 39500 train 0.10257 inner-val 0.10421 best 0.10421@39500 (1812s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:07:19 step 39750 train 0.10262 inner-val 0.10421 best 0.10421@39750 (1824s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:07:31 step 40000 train 0.10241 inner-val 0.10422 best 0.10421@39750 (1836s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:07:33 block end 40000: best 0.10421@39750; block improvement 0.000275 (2.89 % of total 0.009487) -> continue
+2026-10-03T09:07:44 step 40250 train 0.10253 inner-val 0.10422 best 0.10421@39750 (1849s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:07:56 step 40500 train 0.10260 inner-val 0.10421 best 0.10421@39750 (1861s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:08:08 step 40750 train 0.10216 inner-val 0.10421 best 0.10421@39750 (1872s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:08:20 step 41000 train 0.10225 inner-val 0.10421 best 0.10421@41000 (1884s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:08:32 step 41250 train 0.10236 inner-val 0.10421 best 0.10421@41250 (1896s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:08:43 step 41500 train 0.10247 inner-val 0.10421 best 0.10421@41250 (1908s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:08:55 step 41750 train 0.10240 inner-val 0.10420 best 0.10420@41750 (1920s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:09:07 step 42000 train 0.10226 inner-val 0.10420 best 0.10420@42000 (1932s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:09:19 step 42250 train 0.10235 inner-val 0.10420 best 0.10420@42250 (1943s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:09:31 step 42500 train 0.10267 inner-val 0.10420 best 0.10420@42500 (1955s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:09:42 step 42750 train 0.10226 inner-val 0.10419 best 0.10419@42750 (1967s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:09:54 step 43000 train 0.10201 inner-val 0.10419 best 0.10419@42750 (1979s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:10:06 step 43250 train 0.10260 inner-val 0.10418 best 0.10418@43250 (1991s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1016
+2026-10-03T09:10:18 step 43500 train 0.10252 inner-val 0.10418 best 0.10418@43500 (2002s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:10:30 step 43750 train 0.10281 inner-val 0.10418 best 0.10418@43500 (2014s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:10:42 step 44000 train 0.10214 inner-val 0.10418 best 0.10418@43500 (2026s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:10:54 step 44250 train 0.10250 inner-val 0.10418 best 0.10418@43500 (2038s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:11:05 step 44500 train 0.10263 inner-val 0.10418 best 0.10418@44500 (2050s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:11:17 step 44750 train 0.10238 inner-val 0.10418 best 0.10418@44500 (2062s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:11:29 step 45000 train 0.10240 inner-val 0.10418 best 0.10418@44500 (2074s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:11:41 step 45250 train 0.10264 inner-val 0.10418 best 0.10418@44500 (2086s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:11:53 step 45500 train 0.10283 inner-val 0.10417 best 0.10417@45500 (2098s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:12:05 step 45750 train 0.10228 inner-val 0.10417 best 0.10417@45750 (2110s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:12:18 step 46000 train 0.10256 inner-val 0.10416 best 0.10416@46000 (2122s) immicro=0.0977 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:12:30 step 46250 train 0.10227 inner-val 0.10415 best 0.10415@46250 (2134s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:12:42 step 46500 train 0.10254 inner-val 0.10415 best 0.10415@46500 (2146s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:12:54 step 46750 train 0.10216 inner-val 0.10414 best 0.10414@46750 (2158s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:13:06 step 47000 train 0.10224 inner-val 0.10414 best 0.10414@47000 (2170s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:13:18 step 47250 train 0.10241 inner-val 0.10413 best 0.10413@47250 (2182s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:13:30 step 47500 train 0.10248 inner-val 0.10413 best 0.10413@47500 (2194s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:13:42 step 47750 train 0.10230 inner-val 0.10412 best 0.10412@47750 (2206s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:13:53 step 48000 train 0.10249 inner-val 0.10412 best 0.10412@48000 (2218s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:14:05 step 48250 train 0.10247 inner-val 0.10412 best 0.10412@48250 (2230s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:14:17 step 48500 train 0.10233 inner-val 0.10412 best 0.10412@48250 (2242s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:14:29 step 48750 train 0.10208 inner-val 0.10412 best 0.10412@48250 (2254s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:14:41 step 49000 train 0.10256 inner-val 0.10412 best 0.10412@48250 (2266s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:14:53 step 49250 train 0.10233 inner-val 0.10412 best 0.10412@48250 (2278s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:15:05 step 49500 train 0.10220 inner-val 0.10412 best 0.10412@48250 (2289s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:15:17 step 49750 train 0.10249 inner-val 0.10411 best 0.10411@49750 (2301s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:15:28 step 50000 train 0.10170 inner-val 0.10411 best 0.10411@49750 (2313s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:15:40 step 50250 train 0.10209 inner-val 0.10411 best 0.10411@49750 (2324s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:15:52 step 50500 train 0.10245 inner-val 0.10411 best 0.10411@49750 (2336s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:16:03 step 50750 train 0.10209 inner-val 0.10411 best 0.10411@49750 (2348s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:16:15 step 51000 train 0.10238 inner-val 0.10411 best 0.10411@49750 (2360s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:16:27 step 51250 train 0.10226 inner-val 0.10410 best 0.10410@51250 (2371s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1014
+2026-10-03T09:16:38 step 51500 train 0.10232 inner-val 0.10410 best 0.10410@51250 (2383s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1014
+2026-10-03T09:16:50 step 51750 train 0.10246 inner-val 0.10410 best 0.10410@51250 (2395s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:17:02 step 52000 train 0.10252 inner-val 0.10410 best 0.10410@51250 (2406s) immicro=0.0976 ye2026_sepsis=0.1133 liu2021=0.1015
+2026-10-03T09:17:13 step 52250 train 0.10252 inner-val 0.10410 best 0.10410@52250 (2418s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:17:25 step 52500 train 0.10288 inner-val 0.10409 best 0.10409@52500 (2430s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:17:37 step 52750 train 0.10256 inner-val 0.10409 best 0.10409@52750 (2441s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:17:48 step 53000 train 0.10206 inner-val 0.10408 best 0.10408@53000 (2453s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:18:00 step 53250 train 0.10239 inner-val 0.10408 best 0.10408@53000 (2465s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:18:12 step 53500 train 0.10209 inner-val 0.10408 best 0.10408@53000 (2476s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:18:24 step 53750 train 0.10239 inner-val 0.10408 best 0.10408@53000 (2488s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1015
+2026-10-03T09:18:35 step 54000 train 0.10220 inner-val 0.10408 best 0.10408@54000 (2500s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:18:47 step 54250 train 0.10260 inner-val 0.10408 best 0.10408@54250 (2511s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:18:59 step 54500 train 0.10221 inner-val 0.10408 best 0.10408@54250 (2523s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:19:10 step 54750 train 0.10207 inner-val 0.10407 best 0.10407@54750 (2535s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:19:22 step 55000 train 0.10228 inner-val 0.10407 best 0.10407@55000 (2547s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:19:34 step 55250 train 0.10205 inner-val 0.10407 best 0.10407@55250 (2559s) immicro=0.0976 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:19:46 step 55500 train 0.10247 inner-val 0.10407 best 0.10407@55250 (2571s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:19:58 step 55750 train 0.10225 inner-val 0.10406 best 0.10406@55750 (2582s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:20:09 step 56000 train 0.10222 inner-val 0.10406 best 0.10406@55750 (2594s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:20:21 step 56250 train 0.10251 inner-val 0.10406 best 0.10406@56250 (2606s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:20:33 step 56500 train 0.10202 inner-val 0.10406 best 0.10406@56500 (2618s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:20:45 step 56750 train 0.10198 inner-val 0.10405 best 0.10405@56750 (2630s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:20:57 step 57000 train 0.10211 inner-val 0.10405 best 0.10405@57000 (2642s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:21:09 step 57250 train 0.10256 inner-val 0.10405 best 0.10405@57000 (2654s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:21:21 step 57500 train 0.10219 inner-val 0.10405 best 0.10405@57000 (2666s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:21:33 step 57750 train 0.10191 inner-val 0.10405 best 0.10405@57750 (2678s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:21:45 step 58000 train 0.10220 inner-val 0.10405 best 0.10405@58000 (2690s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:21:57 step 58250 train 0.10247 inner-val 0.10404 best 0.10404@58250 (2702s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:22:09 step 58500 train 0.10240 inner-val 0.10404 best 0.10404@58250 (2714s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:22:21 step 58750 train 0.10275 inner-val 0.10404 best 0.10404@58750 (2726s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:22:33 step 59000 train 0.10243 inner-val 0.10404 best 0.10404@58750 (2738s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:22:45 step 59250 train 0.10211 inner-val 0.10404 best 0.10404@59250 (2750s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:22:57 step 59500 train 0.10210 inner-val 0.10403 best 0.10403@59500 (2762s) immicro=0.0975 ye2026_sepsis=0.1132 liu2021=0.1014
+2026-10-03T09:23:09 step 59750 train 0.10261 inner-val 0.10403 best 0.10403@59750 (2774s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:23:21 step 60000 train 0.10209 inner-val 0.10402 best 0.10402@60000 (2786s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:23:23 block end 60000: best 0.10402@60000; block improvement 0.000189 (1.95 % of total 0.009676) -> continue
+2026-10-03T09:23:35 step 60250 train 0.10217 inner-val 0.10402 best 0.10402@60250 (2799s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:23:47 step 60500 train 0.10238 inner-val 0.10402 best 0.10402@60250 (2812s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:23:59 step 60750 train 0.10208 inner-val 0.10402 best 0.10402@60250 (2823s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:24:11 step 61000 train 0.10253 inner-val 0.10403 best 0.10402@60250 (2835s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:24:23 step 61250 train 0.10258 inner-val 0.10403 best 0.10402@60250 (2847s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:24:35 step 61500 train 0.10212 inner-val 0.10403 best 0.10402@60250 (2859s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:24:47 step 61750 train 0.10231 inner-val 0.10403 best 0.10402@60250 (2871s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:24:58 step 62000 train 0.10221 inner-val 0.10402 best 0.10402@60250 (2883s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:25:10 step 62250 train 0.10215 inner-val 0.10402 best 0.10402@62250 (2894s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:25:22 step 62500 train 0.10221 inner-val 0.10401 best 0.10401@62500 (2906s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:25:34 step 62750 train 0.10216 inner-val 0.10401 best 0.10401@62750 (2918s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:25:45 step 63000 train 0.10215 inner-val 0.10401 best 0.10401@62750 (2930s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:25:57 step 63250 train 0.10253 inner-val 0.10401 best 0.10401@62750 (2942s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:26:09 step 63500 train 0.10220 inner-val 0.10401 best 0.10401@62750 (2954s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:26:21 step 63750 train 0.10242 inner-val 0.10401 best 0.10401@62750 (2965s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:26:33 step 64000 train 0.10240 inner-val 0.10401 best 0.10401@62750 (2977s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:26:44 step 64250 train 0.10224 inner-val 0.10401 best 0.10401@64250 (2989s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:26:56 step 64500 train 0.10224 inner-val 0.10401 best 0.10401@64250 (3001s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:27:08 step 64750 train 0.10237 inner-val 0.10401 best 0.10401@64250 (3013s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:27:20 step 65000 train 0.10235 inner-val 0.10401 best 0.10401@65000 (3025s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:27:33 step 65250 train 0.10228 inner-val 0.10401 best 0.10401@65000 (3037s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:27:45 step 65500 train 0.10202 inner-val 0.10400 best 0.10400@65500 (3049s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:27:56 step 65750 train 0.10238 inner-val 0.10399 best 0.10399@65750 (3061s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:28:08 step 66000 train 0.10218 inner-val 0.10400 best 0.10399@65750 (3072s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:28:20 step 66250 train 0.10200 inner-val 0.10400 best 0.10399@65750 (3084s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:28:31 step 66500 train 0.10245 inner-val 0.10400 best 0.10399@65750 (3096s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:28:43 step 66750 train 0.10201 inner-val 0.10399 best 0.10399@65750 (3107s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:28:54 step 67000 train 0.10248 inner-val 0.10399 best 0.10399@67000 (3119s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:29:06 step 67250 train 0.10209 inner-val 0.10398 best 0.10398@67250 (3131s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:29:18 step 67500 train 0.10229 inner-val 0.10398 best 0.10398@67250 (3142s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:29:30 step 67750 train 0.10220 inner-val 0.10399 best 0.10398@67250 (3154s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:29:41 step 68000 train 0.10226 inner-val 0.10399 best 0.10398@67250 (3166s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:29:53 step 68250 train 0.10232 inner-val 0.10399 best 0.10398@67250 (3178s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:30:05 step 68500 train 0.10218 inner-val 0.10399 best 0.10398@67250 (3189s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:30:17 step 68750 train 0.10234 inner-val 0.10399 best 0.10398@67250 (3201s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:30:28 step 69000 train 0.10203 inner-val 0.10399 best 0.10398@67250 (3213s) immicro=0.0975 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:30:40 step 69250 train 0.10231 inner-val 0.10399 best 0.10398@67250 (3225s) immicro=0.0974 ye2026_sepsis=0.1131 liu2021=0.1014
+2026-10-03T09:30:40 early stop: no improvement in 8 evaluations
+2026-10-03T09:30:45 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_crosscohort_20261002/runs/hoL_imperial_eskd/K1000/lora64sat/checkpoint_ft.pt (selected step 67250, inner-val 0.10398 vs pretrained 0.11370); sha 33693906f355