best val_rmse 118.5270

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 99.12505340576172,
+  "best_val_loss": 118.52701568603516,
   "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/34b3839a22124efcb80a7a57f1ad4f7f",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/node-pk/b8b88e6c7e374c2b97b12ad9d1d5b6ca",
   "experiment_indentifier": null,
   "experiment_name": "node-pk",
   "hf_model_card_path": [
@@ -79,7 +79,7 @@
     "keep_tempfile": false,
     "log_transform": false,
     "n_of_databatches": null,
-    "n_of_permutations": 3,
+    "n_of_permutations": 1,
     "n_of_target_individuals": 1,
     "normalize_by_max": true,
     "normalize_time": true,
@@ -174,13 +174,15 @@
       0.9,
       0.999
     ],
-    "epochs": 20,
+    "epochs": 10,
     "eps": 1e-08,
-    "eval_empirical_every_pct": 2.0,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,
-    "log_image_every_epoch": 2,
+    "log_empirical_evaluation_pct": 0.5,
+    "log_image_every_epoch_pct": 0.5,
     "log_interval": 1,
+    "log_prediction_in_val": false,
+    "log_reconstruction_in_val": true,
     "log_vcp": false,
     "num_batch_plot": 1,
     "num_workers": 8,
@@ -193,7 +195,6 @@
       "last_epoch": -1
     },
     "shuffle_val": true,
-    "val_empirical_every_pct_epochs": 2.0,
     "weight_decay": 0.0001
   },
   "transformers_version": "4.52.4",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:57138a4cbe08c5f2332facd9160c54640f0327ea027e4837c6e1b71e341e1012
 size 39270535