Archive 4 checkpoints (1-4)

paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/data/behcet/K_CONDITIONS.json

@@ -0,0 +1,10 @@
+{
+ "conditions_raw_fixed_K4000.npz": {
+  "k": 4000,
+  "sha256": "2b0f5fb361418a6ffe97aa296e73cf6b6107986ea8068fa8058a1b4c31e85e25",
+  "from": "conditions_raw_fixed.npz",
+  "from_sha256": "c477214d93bb62a8fa61f52e8bf9412210087c93f2edb0c89b96e9cf2d2bf62b",
+  "k1000_check": "byte-identical",
+  "code_sha256": "2e5482eb3bbf8fe892c355bfe293036c65520adb9737ff357ac9df2dae495cb5"
+ }
+}

paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/runs/lora3_k4000/RUN.json

@@ -0,0 +1,87 @@
+{
+ "schema": "pbisc_sdd.ft_intradataset.run.v1",
+ "source_checkpoint": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/runs/f01_6k_1x_seed20260627/checkpoint_epoch_016.pt",
+ "source_checkpoint_sha256": "8c7cd0e83e2bc19fe03dfcbc084919a1e2f61be8cc8bc12f4caf543dfda91633",
+ "dataset_dir": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/data/behcet",
+ "condition_npz": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/data/behcet/conditions_raw_fixed_K4000.npz",
+ "condition_npz_sha256": "2b0f5fb361418a6ffe97aa296e73cf6b6107986ea8068fa8058a1b4c31e85e25",
+ "fold": 0,
+ "mode": "lora",
+ "trainable": {
+  "mode": "lora",
+  "lora_layers": [
+   "time_encoder.0",
+   "time_encoder.2",
+   "condition_encoder.0",
+   "condition_encoder.3",
+   "context_mixer.2",
+   "down_blocks.0.input_projection",
+   "down_blocks.0.context_projection.1",
+   "down_blocks.1.input_projection",
+   "down_blocks.1.context_projection.1",
+   "down_blocks.2.input_projection",
+   "down_blocks.2.context_projection.1",
+   "down_blocks.3.input_projection",
+   "down_blocks.3.context_projection.1",
+   "up_blocks.0.input_projection",
+   "up_blocks.0.context_projection.1",
+   "up_blocks.1.input_projection",
+   "up_blocks.1.context_projection.1",
+   "up_blocks.2.input_projection",
+   "up_blocks.2.context_projection.1",
+   "output_trunk.0",
+   "value_head",
+   "active_head"
+  ],
+  "lora_rank": 16,
+  "lora_alpha": 16.0,
+  "n_trainable": 1296224,
+  "n_total_base": 54185184,
+  "trainable_tensors": 44
+ },
+ "lr": 0.0005,
+ "warmup": 200,
+ "batch_size": 256,
+ "ema_decay": 0.999,
+ "max_steps": 3000,
+ "steps_run": 3000,
+ "eval_every": 250,
+ "patience": 8,
+ "train_subset": null,
+ "train_donors_file": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/data/behcet/train_donors.txt",
+ "fixed_steps": 3000,
+ "selected_step": 3000,
+ "selected_inner_val_loss": NaN,
+ "pretrained_inner_val_loss": NaN,
+ "train_rows": [
+  "BDV4",
+  "BDV5",
+  "BDV6"
+ ],
+ "inner_val_rows": [],
+ "test_rows_never_loaded_for_training": [
+  "HC1",
+  "HC2",
+  "HC3",
+  "HC4",
+  "HC5",
+  "HC6",
+  "HC7",
+  "HC8",
+  "HC9",
+  "HC10",
+  "BDU1",
+  "BDU2",
+  "BDU3",
+  "BDV1",
+  "BDV2",
+  "BDV3"
+ ],
+ "max_abs_weight_change": 0.31901246309280396,
+ "n_tensors_changed": 22,
+ "seed": 20260927,
+ "wall_seconds": 112.7,
+ "written_utc": "2026-10-04T06:22:38.216705+00:00",
+ "checkpoint_sha256": "72de967996fceae746d853d66888327f31e7c11296c2f0abda8a5f0cc22d5591",
+ "reload_forward_max_abs_diff": 0.0
+}

paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/runs/lora3_k4000/history.json

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+[
+ {
+  "step": 0,
+  "inner_val_loss": NaN,
+  "train_loss": null
+ }
+]

paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/runs/lora3_k4000/train.log

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+2026-10-04T15:20:45 mode=lora trainable=1,296,224 rows train/inner/test=3/0/16 cells(train)=16,635
+2026-10-04T15:20:45 step 0 inner-val loss nan (pretrained)
+2026-10-04T15:22:40 saved /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/runs/lora3_k4000/checkpoint_ft.pt (selected step 3000, inner-val nan vs pretrained nan); sha 72de967996fc