best val_rmse 0.0689

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.06307019293308258,
+  "best_val_loss": 0.06890614330768585,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -18,7 +18,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/41ad4f398f6a494b93fa74a4395fc57a",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/889bed80feac42e79621e3830dcc21b8",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -178,7 +178,7 @@
     "drift_num_layers": 2,
     "dropout": 0.1,
     "encoder_rnn_hidden_dim": 256,
-    "exclusive_node_step": true,
+    "exclusive_node_step": false,
     "individual_encoder_name": "RNNContextEncoder",
     "individual_encoder_number_of_heads": 4,
     "init_hidden_num_layers": 4,
@@ -197,7 +197,7 @@
     "use_kl_s": true,
     "zi_latent_dim": 512
   },
-  "run_index": 2,
+  "run_index": 3,
   "tags": [
     "NP",
     "OU",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:b738332fb90f59358dff1f567395c58550872951dbc8bce58e5d39ce8347b6c3
 size 48200922