best val_rmse 0.0002

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.0002109284105245024,
+  "best_val_loss": 0.00021530824596993625,
   "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/0b255f7e289d4939a6877b5d145b6d45",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/30d7182aedb24204814e1a2bf5eb3bb2",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -124,7 +124,7 @@
     "split_strategy": "subject",
     "test_protocol": "empirical",
     "test_size": 5,
-    "train_size": 100,
+    "train_size": 20,
     "val_protocol": "empirical",
     "val_size": 5,
     "z_score_normalization": false
@@ -188,7 +188,7 @@
       0.9,
       0.999
     ],
-    "epochs": 5,
+    "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 sha256:545d40bda7152b86f0c9e61aa2a85eabdf0ff68b3fad5adb5609d7ea9f7e877f
 size 86545