best val_rmse 0.1811

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.0,
+  "best_val_loss": 0.18112225830554962,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -12,13 +12,13 @@
     "obs_type": "observations_pk_peak_halflife",
     "past_time_ratio": 0.1
   },
-  "debug_test": false,
+  "debug_test": "",
   "dosing": {
     "dose": 1.0,
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/23d894efece74fb091fcf88a59040fe0",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/bfcbdc214e554316b71f86089615263c",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -132,9 +132,9 @@
   },
   "mix_data": {
     "evaluate_prediction_steps_past": 5,
-    "keep_tempfile": false,
+    "keep_tempfile": true,
     "log_transform": false,
-    "n_of_databatches": 10,
+    "n_of_databatches": 3,
     "n_of_target_individuals": 1,
     "normalize_by_max": true,
     "normalize_time": true,
@@ -143,20 +143,20 @@
       "lenuzza",
       "Lenuzza2016.csv"
     ],
-    "pretraining_epochs": 4800,
+    "pretraining_epochs": 8,
     "pretraining_protocol": "none",
-    "recreate_tempfile": true,
+    "recreate_tempfile": false,
     "return_split_versions": true,
     "split_seed": 42,
     "split_strategy": "study",
-    "store_in_tempfile": false,
+    "store_in_tempfile": true,
     "tempfile_path": [
       "preprocessed",
-      "simulated_ou_as_rates.tr"
+      "simulated_ou_as_rates"
     ],
     "test_protocol": "simulated",
     "test_size": 5,
-    "train_size": 100,
+    "train_size": 1000,
     "val_protocol": "simulated",
     "val_size": 5,
     "z_score_normalization": false
@@ -192,14 +192,15 @@
     "time_obs_encoder_hidden_dim": 256,
     "time_obs_encoder_output_dim": 256,
     "use_attention": true,
-    "use_kl_i": false,
+    "use_kl_i": true,
     "use_kl_init": true,
     "use_kl_s": true,
-    "zi_latent_dim": 256
+    "zi_latent_dim": 25
   },
-  "run_index": 2,
+  "run_index": 1,
   "tags": [
-    "NPPK",
+    "NP",
+    "OU",
     "N-0"
   ],
   "target_observations": {
@@ -220,10 +221,10 @@
       0.9,
       0.999
     ],
-    "epochs": 6000,
+    "epochs": 10,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
-    "learning_rate": 1e-05,
+    "learning_rate": 0.0001,
     "log_image_every_epoch": 25,
     "log_interval": 1,
     "log_vcp": false,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:877e687000ac63f443394687c1ad6c4f2c89c4a31c986a552ead878252fa2076
+size 35154118