best val_rmse 0.0591

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.043431881815195084,
+  "best_val_loss": 0.05912768468260765,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -33,7 +33,7 @@
     "same_route": true,
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/ace5227fd3f4472f934a2d5e6b4bb13b",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/5f700cbea4444bd3a2e5213241cd138e",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -67,7 +67,7 @@
       1,
       3
     ],
-    "p1": 0.5,
+    "p1": 1.0,
     "simple_mode": true,
     "solver_method": "dummy",
     "time_num_steps": 40,
@@ -124,6 +124,7 @@
     "dropout": 0.1,
     "encoder_rnn_hidden_dim": 256,
     "exclusive_node_step": false,
+    "ignore_logvar": true,
     "individual_encoder_name": "RNNContextEncoder",
     "individual_encoder_number_of_heads": 4,
     "init_hidden_num_layers": 4,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:6126009788ea7bca713a78c2e80c09488da4ceba1f98ab75f7a09653b04835eb
 size 39801963