best val_rmse 0.4745

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.5200994610786438,
+  "best_val_loss": 0.47454023361206055,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -18,7 +18,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/5aaa17e783ec4685b28a8e398212303d",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/504e39b6c88d41878e906f4bc98cab17",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -30,7 +30,7 @@
   "meta_study": {
     "V_tmag_range": [
       0.001,
-      0.002
+      0.01
     ],
     "V_tscl_range": [
       1.0,
@@ -220,7 +220,7 @@
       0.9,
       0.999
     ],
-    "epochs": 2,
+    "epochs": 10,
     "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:e3a97bac558ab70a48be0201a57ae2e3fdfd563e706fba5d4602501a2459cd81
 size 168701