best val_rmse 0.5201

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.4204750061035156,
+  "best_val_loss": 0.5200994610786438,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -12,12 +12,13 @@
     "obs_type": "observations_pk_peak_halflife",
     "past_time_ratio": 0.1
   },
+  "debug_test": true,
   "dosing": {
     "dose": 1.0,
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/48737062d4cc422ca01bc5470c64719d",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/5aaa17e783ec4685b28a8e398212303d",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -29,7 +30,7 @@
   "meta_study": {
     "V_tmag_range": [
       0.001,
-      0.01
+      0.002
     ],
     "V_tscl_range": [
       1.0,
@@ -131,6 +132,7 @@
   },
   "mix_data": {
     "evaluate_prediction_steps_past": 5,
+    "keep_tempfile": true,
     "log_transform": false,
     "n_of_databatches": 3,
     "n_of_target_individuals": 1,
@@ -143,9 +145,15 @@
     ],
     "pretraining_epochs": 90,
     "pretraining_protocol": "none",
+    "recreate_tempfile": true,
     "return_split_versions": true,
     "split_seed": 42,
     "split_strategy": "study",
+    "store_in_tempfile": true,
+    "tempfile_path": [
+      "preprocessed",
+      "simulated_ou_as_rates"
+    ],
     "test_protocol": "simulated",
     "test_size": 5,
     "train_size": 20,

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:f09116a093f851cbcd60485177453edd09c8762db9262467b2de60066fc98126
+oid sha256:f9c1974555c1217ebc5c77743dca43eb5504797e906e31de2dab543772bb0bea
 size 168701