best val_rmse 112.0398

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 109.62590026855469,
+  "best_val_loss": 112.03976440429688,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -33,7 +33,7 @@
     "same_route": true,
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/node-pk/f9d9056687db46479f4a2a5ab73f79a8",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/node-pk/cea66083fce0481299ee7ff454760258",
   "experiment_indentifier": null,
   "experiment_name": "node-pk",
   "hf_model_card_path": [
@@ -94,7 +94,6 @@
       "simulated_ou_as_rates"
     ],
     "test_empirical_datasets": [
-      "cesarali/lenuzza-2016",
       "cesarali/Indometacin"
     ],
     "test_protocol": "simulated",
@@ -174,7 +173,7 @@
       0.9,
       0.999
     ],
-    "epochs": 15,
+    "epochs": 20,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:5a65eebc9eab7b5788e3844a9a3f97dbd32561d63ee4d21fe440e6f838b8901f
 size 39270535