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_giroux2022/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_giroux2022/K1000/lora16/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_giroux2022/K1000/lora16/train.log

@@ -0,0 +1,83 @@
+2026-10-02T21:57:08 split=hoL_giroux2022 K=1000 mode=lora trainable=1,296,224 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; liu2021: train 40 rows / 147,532 cells, inner 4
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+2026-10-02T22:07:29 step 14000 train 0.10295 inner-val 0.10346 best 0.10346@14000 (619s) immicro=0.0986 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:07:39 step 14250 train 0.10261 inner-val 0.10346 best 0.10346@14250 (630s) immicro=0.0986 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:07:51 step 14500 train 0.10295 inner-val 0.10346 best 0.10346@14500 (642s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:08:03 step 14750 train 0.10282 inner-val 0.10345 best 0.10345@14750 (654s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:08:15 step 15000 train 0.10287 inner-val 0.10345 best 0.10345@14750 (666s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:08:27 step 15250 train 0.10270 inner-val 0.10345 best 0.10345@14750 (678s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
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+2026-10-02T22:09:15 step 16250 train 0.10292 inner-val 0.10344 best 0.10344@16000 (726s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
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+2026-10-02T22:10:01 step 17250 train 0.10286 inner-val 0.10344 best 0.10344@16750 (772s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
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+2026-10-02T22:10:33 step 18000 train 0.10317 inner-val 0.10343 best 0.10343@18000 (803s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
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+2026-10-02T22:10:54 step 18500 train 0.10286 inner-val 0.10343 best 0.10343@18500 (824s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:11:04 step 18750 train 0.10254 inner-val 0.10343 best 0.10343@18750 (835s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:11:15 step 19000 train 0.10267 inner-val 0.10342 best 0.10342@19000 (846s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:11:27 step 19250 train 0.10271 inner-val 0.10342 best 0.10342@19250 (858s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:11:39 step 19500 train 0.10266 inner-val 0.10341 best 0.10341@19500 (870s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:11:51 step 19750 train 0.10287 inner-val 0.10342 best 0.10341@19500 (882s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:12:02 step 20000 train 0.10284 inner-val 0.10342 best 0.10341@19500 (892s) immicro=0.0985 ye2026_sepsis=0.1138 imperial_eskd=0.0992 liu2021=0.1022
+2026-10-02T22:12:06 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/lora16/checkpoint_ft.pt (selected step 19500, inner-val 0.10341 vs pretrained 0.11250); sha bdbd633562b9

paper-releases/pbisc-diffusion/updates/20261003T103040Z-crosscohort-k1000-saturation/diffusion/dataset/server_1/model8/plans/paired_crosscohort_20261002/runs/hoL_giroux2022/K1000/lora16sat/RUN.json

@@ -0,0 +1,543 @@
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