best val_rmse 0.4357

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.4437568187713623,
+  "best_val_loss": 0.435734361410141,
   "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/bf761641748d4a50a65b1d6e9b7ff451",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/cb58c8aa085d4d12b5c5fc288972fece",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -156,7 +156,7 @@
     ],
     "test_protocol": "simulated",
     "test_size": 5,
-    "train_size": 20,
+    "train_size": 10,
     "val_protocol": "simulated",
     "val_size": 5,
     "z_score_normalization": false
@@ -215,12 +215,12 @@
   },
   "train": {
     "amsgrad": false,
-    "batch_size": 8,
+    "batch_size": 32,
     "betas": [
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 3,
     "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:f5e93d6b3874b24681f98ad33d03543b3ed8d3c190b51dc761e505e662b125fa
 size 168701