best val_rmse 0.1529

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.1571866273880005,
+  "best_val_loss": 0.15294867753982544,
   "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/ae7cecba5f7d4723939142ae2d0a785d",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/507c7a8388934cee9331851b6697df61",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -179,10 +179,10 @@
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,
-    "log_empirical_evaluation_pct": 0.5,
+    "log_empirical_evaluation_pct": null,
     "log_image_every_epoch_pct": 0.5,
     "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:f330cda7762ef275b53022b74e2b1f4c23d95b6eed5ef64bef011723bc2a6190
 size 40329595