best val_rmse 0.1747

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.20801889896392822,
+  "best_val_loss": 0.1747092604637146,
   "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/9ab78fb7a8f0417fba9b79d2c1199e33",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/d6756fc1775e43e8ae9de795c1d44d05",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -196,6 +196,7 @@
     "use_attention": true,
     "use_invariance_loss": false,
     "use_kl_i": true,
+    "use_kl_i_np": false,
     "use_kl_init": true,
     "use_kl_s": true,
     "zi_latent_dim": 20
@@ -223,7 +224,7 @@
       0.9,
       0.999
     ],
-    "epochs": 30,
+    "epochs": 5,
     "eps": 1e-08,
     "eval_empirical_every_pct": 0.25,
     "gradient_clip_val": 1.0,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:0a7fe0a88330a3618edf3c11a5ea6c35ab02d456f6c89097836bd410f7886119
 size 168701