best val_rmse 0.4423

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.27423909306526184,
+  "best_val_loss": 0.4423234462738037,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -17,7 +17,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/18f64da1b6c540fab5606872748013c7",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/7b4851a199374a1eba8bf8f233254160",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -108,7 +108,7 @@
   "mix_data": {
     "evaluate_prediction_steps_past": 5,
     "log_transform": false,
-    "n_of_databatches": 10,
+    "n_of_databatches": 3,
     "n_of_target_individuals": 1,
     "normalize_by_max": true,
     "normalize_time": true,
@@ -124,7 +124,7 @@
     "split_strategy": "study",
     "test_protocol": "simulated",
     "test_size": 5,
-    "train_size": 100,
+    "train_size": 20,
     "val_protocol": "simulated",
     "val_size": 5,
     "z_score_normalization": false
@@ -188,7 +188,7 @@
       0.9,
       0.999
     ],
-    "epochs": 3,
+    "epochs": 2,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:ddebd38a45b63a36a3236381eb870fe12d6978e7ac4212af83a5ed11bfd5d724
 size 168701