best val_rmse 0.0915

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.08718111366033554,
+  "best_val_loss": 0.09153690189123154,
   "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/386071df802c446284462389f5340244",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/b4f7f62a4a4c475fb49bf6abb7e2b8c4",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -189,12 +189,14 @@
     "node_step": true,
     "norm": "layer",
     "output_head_num_layers": 2,
+    "prediction_only": false,
     "rnn_decoder_number_of_layers": 4,
     "rnn_individual_encoder_number_of_layers": 2,
+    "study_latent_deterministic": false,
     "time_obs_encoder_hidden_dim": 128,
     "time_obs_encoder_output_dim": 128,
     "use_attention": true,
-    "use_invariance_loss": true,
+    "use_invariance_loss": false,
     "use_kl_i": true,
     "use_kl_i_np": true,
     "use_kl_init": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:8bfdb177d9efdc4012514e0cb53524af27fd2461767cf2dc6414c6bbbbe991ac
 size 4910617