best val_rmse 0.1177

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.06890614330768585,
+  "best_val_loss": 0.11770794540643692,
   "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/889bed80feac42e79621e3830dcc21b8",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/1521db969a90487bafbb56f3602e41ca",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -171,14 +171,14 @@
     "cov_proj_dim": 16,
     "decoder_attention_layers": 2,
     "decoder_hidden_dim": 512,
-    "decoder_name": "TransformerDecoder",
+    "decoder_name": "RNNDecoder",
     "decoder_num_layers": 4,
     "decoder_rnn_hidden_dim": 256,
     "drift_activation": "Tanh",
     "drift_num_layers": 2,
     "dropout": 0.1,
     "encoder_rnn_hidden_dim": 256,
-    "exclusive_node_step": false,
+    "exclusive_node_step": true,
     "individual_encoder_name": "RNNContextEncoder",
     "individual_encoder_number_of_heads": 4,
     "init_hidden_num_layers": 4,
@@ -195,9 +195,9 @@
     "use_kl_i": true,
     "use_kl_init": true,
     "use_kl_s": true,
-    "zi_latent_dim": 512
+    "zi_latent_dim": 256
   },
-  "run_index": 3,
+  "run_index": 4,
   "tags": [
     "NP",
     "OU",

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 48200922
+oid sha256:306bdbf4b659c99318988e2c3ddabe7aa895085fac5bf57d86d87a6eb37f994e
+size 19538212