best val_rmse 0.1614

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.17602816224098206,
+  "best_val_loss": 0.1614232212305069,
   "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/07c3544c68a64827a102381dfa506d03",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/c4ed09497ac94d74a6139d5c8b56da9e",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -166,9 +166,9 @@
       0.9,
       0.999
     ],
-    "epochs": 6,
+    "epochs": 10,
     "eps": 1e-08,
-    "eval_empirical_every_pct": 0.5,
+    "eval_empirical_every_pct": 2.0,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.00023,
     "log_image_every_epoch": 2,
@@ -185,7 +185,7 @@
       "last_epoch": -1
     },
     "shuffle_val": true,
-    "val_empirical_every_pct_epochs": 0.5,
+    "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 sha256:096af1efa61c20ef263a5e760f5007150b789069f0edca2c0a578ca86ff512c9
 size 39801963