best val_rmse 0.0000

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.02272561751306057,
+  "best_val_loss": 0.0,
   "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/32d3e01813e54ebab4a3143cd4044f71",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/1f7658dc034a4447bafb36b308fbfb42",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -145,7 +145,7 @@
     ],
     "pretraining_epochs": 90,
     "pretraining_protocol": "none",
-    "recreate_tempfile": true,
+    "recreate_tempfile": false,
     "return_split_versions": true,
     "split_seed": 42,
     "split_strategy": "study",
@@ -189,8 +189,10 @@
     "node_step": true,
     "norm": "layer",
     "output_head_num_layers": 2,
+    "prediction_only": true,
     "rnn_decoder_number_of_layers": 4,
     "rnn_individual_encoder_number_of_layers": 2,
+    "study_latent_deterministic": true,
     "time_obs_encoder_hidden_dim": 128,
     "time_obs_encoder_output_dim": 128,
     "use_attention": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:94419c01225a1507629d665e81d6f9dfaea11f6a9c4bad3c43a22957466804c1
 size 6044367