best val_rmse 109.6259

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 118.52701568603516,
+  "best_val_loss": 109.62590026855469,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -33,7 +33,7 @@
     "same_route": true,
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/node-pk/b8b88e6c7e374c2b97b12ad9d1d5b6ca",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/node-pk/f9d9056687db46479f4a2a5ab73f79a8",
   "experiment_indentifier": null,
   "experiment_name": "node-pk",
   "hf_model_card_path": [
@@ -174,14 +174,14 @@
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 15,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,
-    "log_empirical_evaluation_pct": 0.5,
-    "log_image_every_epoch_pct": 0.5,
+    "log_empirical_evaluation_pct": 0.2,
+    "log_image_every_epoch_pct": 0.2,
     "log_interval": 1,
-    "log_prediction_in_val": false,
+    "log_prediction_in_val": true,
     "log_reconstruction_in_val": true,
     "log_vcp": false,
     "num_batch_plot": 1,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:96a55a9308ce932c1fb3644ddf9acf65e4dbb51af37058071aef522d49863d4a
 size 39270535