best val_rmse 0.1572

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.06013039872050285,
+  "best_val_loss": 0.1571866273880005,
   "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/context-vae-pk/58e7dd1213564afdb1e36da0f8c734f9",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/ae7cecba5f7d4723939142ae2d0a785d",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -175,13 +175,15 @@
       0.9,
       0.999
     ],
-    "epochs": 50,
+    "epochs": 10,
     "eps": 1e-08,
-    "eval_empirical_every_pct": 2.0,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,
-    "log_image_every_epoch": 10,
+    "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,
@@ -194,7 +196,6 @@
       "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:c6deead6c129deb9e37b22c02926c4b94cfbb97db0e668f5e8331f1a21a86cd9
 size 40329595