best val_rmse 0.4805

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.20050057768821716,
+  "best_val_loss": 0.4804897904396057,
   "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/0d83a27ec031457ea1187d43e24165ad",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/0d2288b94c6b421cb36a0e5205804f77",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -222,6 +222,7 @@
     ],
     "epochs": 30,
     "eps": 1e-08,
+    "eval_empirical_every_pct": 1.0,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,
     "log_image_every_epoch": 2,
@@ -237,6 +238,7 @@
       "eta_min": 5e-05,
       "last_epoch": -1
     },
+    "shuffle_val": true,
     "weight_decay": 0.0001
   },
   "transformers_version": "4.52.4",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:1ae355dea77603c6ab52a9c039471664c843003d5041801f3534d373a39df858
 size 168701