best val_rmse 0.0188

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.0,
+  "best_val_loss": 0.01880127191543579,
   "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/825c9c6329a941d4a74ea56913982ba2",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/869a0b97faa54ed687465afb38239f53",
   "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,
@@ -194,12 +194,13 @@
     "time_obs_encoder_hidden_dim": 256,
     "time_obs_encoder_output_dim": 256,
     "use_attention": true,
+    "use_invariance_loss": false,
     "use_kl_i": true,
     "use_kl_init": true,
     "use_kl_s": true,
     "zi_latent_dim": 512
   },
-  "run_index": 0,
+  "run_index": 1,
   "tags": [
     "YOLO-0",
     "N-0"

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:9534ef3da1b9448f9e57e8a559fec0312a347caf11758308b26655ef032c93d7
 size 45044802