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+ 2026-10-05T11:20:28 step 94000 train 0.10965 inner-val 0.11566 best 0.11566@94000 (4438s)
98
+ 2026-10-05T11:21:18 step 95000 train 0.10936 inner-val 0.11565 best 0.11565@95000 (4487s)
99
+ 2026-10-05T11:22:07 step 96000 train 0.10956 inner-val 0.11562 best 0.11562@96000 (4537s)
100
+ 2026-10-05T11:22:56 step 97000 train 0.10944 inner-val 0.11556 best 0.11556@97000 (4586s)
101
+ 2026-10-05T11:23:46 step 98000 train 0.10939 inner-val 0.11551 best 0.11551@98000 (4636s)
102
+ 2026-10-05T11:24:36 step 99000 train 0.10913 inner-val 0.11548 best 0.11548@99000 (4686s)
103
+ 2026-10-05T11:25:26 step 100000 train 0.10934 inner-val 0.11544 best 0.11544@100000 (4735s)
104
+ 2026-10-05T11:25:32 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/runs/ye2026_sepsis/fold0/scratch_full/checkpoint_ft.pt (selected step 100000, inner-val 0.11544 vs pretrained 1.78181); sha de6a5f0feac4