best val_rmse 0.0002

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.00013469897385220975,
+  "best_val_loss": 0.00022550878929905593,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -17,7 +17,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": null,
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/ab3af6442077464690d8b709de494a11",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -37,6 +37,7 @@
       "Drug_B",
       "Drug_C"
     ],
+    "dynamic_model_config": null,
     "k_1p_tmag_range": [
       0.01,
       0.1
@@ -120,6 +121,7 @@
     ],
     "pretraining_epochs": 90,
     "pretraining_protocol": "none",
+    "return_split_versions": false,
     "split_seed": 42,
     "split_strategy": "subject",
     "test_protocol": "empirical",
@@ -137,6 +139,7 @@
     "aggregator_num_heads": 8,
     "aggregator_type": "attention",
     "cov_proj_dim": 16,
+    "decoder_attention_layers": 2,
     "decoder_hidden_dim": 32,
     "decoder_name": "RNNDecoder",
     "decoder_num_layers": 2,
@@ -159,7 +162,9 @@
     "time_obs_encoder_hidden_dim": 32,
     "time_obs_encoder_output_dim": 32,
     "use_attention": true,
-    "use_covariance": false,
+    "use_kl_i": true,
+    "use_kl_init": true,
+    "use_kl_s": true,
     "zi_latent_dim": 20
   },
   "run_index": 0,

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 118441
+oid sha256:12916a45d8a9ce06cc6706c62b0e28867c55476403d5a6f642c07a4e34cfbb42
+size 88855