best val_rmse 0.0255

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.04622023180127144,
+  "best_val_loss": 0.025480858981609344,
   "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/7d0010a6f61947c2833532e3dc144280",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/8bb9001e158c4a3b82873e8b7ef2793f",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -166,12 +166,12 @@
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 300,
     "eps": 1e-08,
     "eval_empirical_every_pct": 2.0,
     "gradient_clip_val": 1.0,
-    "learning_rate": 0.00023,
-    "log_image_every_epoch": 2,
+    "learning_rate": 0.0001,
+    "log_image_every_epoch": 10,
     "log_interval": 1,
     "log_vcp": false,
     "num_batch_plot": 1,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:7f52e80131ac73d683acaf9b40f9c8fb4bef4917e411730aa6f234a891b56941
 size 39801963