best val_rmse 0.0389

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.06627163290977478,
+  "best_val_loss": 0.03886693716049194,
   "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/23a80a8f063947ee86e7e2c2248ef543",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/cbcfacc2788148549e867de1606c2f7b",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -167,7 +167,7 @@
   "network": {
     "activation": "ReLU",
     "aggregator_num_heads": 8,
-    "aggregator_type": "mean",
+    "aggregator_type": "attention",
     "cov_proj_dim": 16,
     "decoder_attention_layers": 2,
     "decoder_hidden_dim": 512,
@@ -197,7 +197,7 @@
     "use_kl_s": true,
     "zi_latent_dim": 256
   },
-  "run_index": 4,
+  "run_index": 5,
   "tags": [
     "NP",
     "OU",

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 37691910
+oid sha256:53dd9fc60c35765ddf9a3ecc5b6d6679bd0f9cd59be7cf149e00a4862713fe82
+size 38747354