best val_rmse 0.1477

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.15854664146900177,
+  "best_val_loss": 0.14773502945899963,
   "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/d6e4e97ca5f64de09823a2f75281d781",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/e25d7e1af88047e2bfc76c673752e5a7",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -132,7 +132,7 @@
   },
   "mix_data": {
     "evaluate_prediction_steps_past": 5,
-    "keep_tempfile": false,
+    "keep_tempfile": true,
     "log_transform": false,
     "n_of_databatches": 3,
     "n_of_target_individuals": 1,
@@ -197,7 +197,7 @@
     "use_kl_s": true,
     "zi_latent_dim": 256
   },
-  "run_index": 1,
+  "run_index": 0,
   "tags": [
     "NP",
     "OU",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:8b5868c114ccffd340a73d840da0ee10142206d22a2966a2d8101d1b72aa2698
 size 38747354