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_ji2025_chili/K1000/fullsat_server2_attempt_20261003/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_ji2025_chili/K1000/fullsat_server2_attempt_20261003/train.log

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+2026-10-03T11:10:54 split=hoL_ji2025_chili 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; imperial_eskd: train 146 rows / 462,172 cells, inner 11; giroux2022: train 24 rows / 254,250 cells, inner 0; liu2021: train 40 rows / 147,532 cells, inner 4
+2026-10-03T11:10:57 step 0 inner-val loss 0.11207 (pretrained) {'immicro': 0.10636159498244524, 'ye2026_sepsis': 0.12489082664251328, 'imperial_eskd': 0.10889218679883263, 'liu2021': 0.1081176083534956}
+2026-10-03T11:11:12 step 250 train 0.10628 inner-val 0.11027 best 0.11027@250 (13s) immicro=0.1048 ye2026_sepsis=0.1231 imperial_eskd=0.1068 liu2021=0.1064
+2026-10-03T11:11:26 step 500 train 0.10359 inner-val 0.10803 best 0.10803@500 (27s) immicro=0.1030 ye2026_sepsis=0.1206 imperial_eskd=0.1042 liu2021=0.1043
+2026-10-03T11:11:40 step 750 train 0.10324 inner-val 0.10649 best 0.10649@750 (41s) immicro=0.1019 ye2026_sepsis=0.1186 imperial_eskd=0.1025 liu2021=0.1030
+2026-10-03T11:11:54 step 1000 train 0.10328 inner-val 0.10552 best 0.10552@1000 (56s) immicro=0.1012 ye2026_sepsis=0.1172 imperial_eskd=0.1015 liu2021=0.1022
+2026-10-03T11:12:08 step 1250 train 0.10316 inner-val 0.10492 best 0.10492@1250 (70s) immicro=0.1007 ye2026_sepsis=0.1164 imperial_eskd=0.1009 liu2021=0.1017
+2026-10-03T11:12:23 step 1500 train 0.10272 inner-val 0.10452 best 0.10452@1500 (84s) immicro=0.1003 ye2026_sepsis=0.1159 imperial_eskd=0.1005 liu2021=0.1013
+2026-10-03T11:12:37 step 1750 train 0.10272 inner-val 0.10424 best 0.10424@1750 (98s) immicro=0.1000 ye2026_sepsis=0.1155 imperial_eskd=0.1003 liu2021=0.1011
+2026-10-03T11:12:52 step 2000 train 0.10233 inner-val 0.10405 best 0.10405@2000 (113s) immicro=0.0998 ye2026_sepsis=0.1153 imperial_eskd=0.1001 liu2021=0.1010
+2026-10-03T11:13:07 step 2250 train 0.10253 inner-val 0.10390 best 0.10390@2250 (128s) immicro=0.0996 ye2026_sepsis=0.1151 imperial_eskd=0.1000 liu2021=0.1009
+2026-10-03T11:13:23 step 2500 train 0.10249 inner-val 0.10379 best 0.10379@2500 (144s) immicro=0.0995 ye2026_sepsis=0.1149 imperial_eskd=0.0999 liu2021=0.1008
+2026-10-03T11:13:38 step 2750 train 0.10248 inner-val 0.10369 best 0.10369@2750 (159s) immicro=0.0994 ye2026_sepsis=0.1148 imperial_eskd=0.0998 liu2021=0.1008
+2026-10-03T11:13:54 step 3000 train 0.10257 inner-val 0.10362 best 0.10362@3000 (175s) immicro=0.0993 ye2026_sepsis=0.1147 imperial_eskd=0.0998 liu2021=0.1007
+2026-10-03T11:14:09 step 3250 train 0.10262 inner-val 0.10356 best 0.10356@3250 (190s) immicro=0.0992 ye2026_sepsis=0.1146 imperial_eskd=0.0997 liu2021=0.1007
+2026-10-03T11:14:25 step 3500 train 0.10233 inner-val 0.10350 best 0.10350@3500 (206s) immicro=0.0991 ye2026_sepsis=0.1145 imperial_eskd=0.0997 liu2021=0.1006
+2026-10-03T11:14:40 step 3750 train 0.10230 inner-val 0.10345 best 0.10345@3750 (221s) immicro=0.0991 ye2026_sepsis=0.1145 imperial_eskd=0.0996 liu2021=0.1006
+2026-10-03T11:14:56 step 4000 train 0.10236 inner-val 0.10341 best 0.10341@4000 (237s) immicro=0.0990 ye2026_sepsis=0.1144 imperial_eskd=0.0996 liu2021=0.1006
+2026-10-03T11:15:12 step 4250 train 0.10254 inner-val 0.10336 best 0.10336@4250 (253s) immicro=0.0990 ye2026_sepsis=0.1144 imperial_eskd=0.0996 liu2021=0.1006
+2026-10-03T11:15:28 step 4500 train 0.10193 inner-val 0.10333 best 0.10333@4500 (269s) immicro=0.0989 ye2026_sepsis=0.1143 imperial_eskd=0.0995 liu2021=0.1005
+2026-10-03T11:15:43 step 4750 train 0.10208 inner-val 0.10330 best 0.10330@4750 (285s) immicro=0.0989 ye2026_sepsis=0.1143 imperial_eskd=0.0995 liu2021=0.1005
+2026-10-03T11:15:59 step 5000 train 0.10227 inner-val 0.10326 best 0.10326@5000 (300s) immicro=0.0989 ye2026_sepsis=0.1142 imperial_eskd=0.0995 liu2021=0.1005
+2026-10-03T11:16:14 step 5250 train 0.10212 inner-val 0.10323 best 0.10323@5250 (315s) immicro=0.0988 ye2026_sepsis=0.1142 imperial_eskd=0.0994 liu2021=0.1005

paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_ji2025_chili/K1000/lora16/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_ji2025_chili/K1000/lora16/history.json

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