best val_rmse 0.1882

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.19471625983715057,
+  "best_val_loss": 0.18817822635173798,
   "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/c8e841f6426345b58a8cd4dff3c326c6",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/e2d5859dc0cf4ffc929c01783e900495",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -145,7 +145,7 @@
     ],
     "pretraining_epochs": 8,
     "pretraining_protocol": "none",
-    "recreate_tempfile": true,
+    "recreate_tempfile": false,
     "return_split_versions": true,
     "split_seed": 42,
     "split_strategy": "study",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:d880b6355b7cb46f124ad047f1db6f10c1b07a211c1dd9f0084ca974e55f24b8
 size 35154118