best val_rmse 0.1461

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.1614232212305069,
+  "best_val_loss": 0.1460544914007187,
   "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/c4ed09497ac94d74a6139d5c8b56da9e",
+  "experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/context-vae-pk/6be6dba8c3094a22b1f04b0b20d47689",
   "experiment_indentifier": null,
   "experiment_name": "context-vae-pk",
   "hf_model_card_path": [
@@ -166,12 +166,12 @@
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 20,
     "eps": 1e-08,
     "eval_empirical_every_pct": 2.0,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.00023,
-    "log_image_every_epoch": 2,
+    "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:b342ebc3c80e20703ca86a968d1086aed2f370ddddb69da7fd110e27d2a0db24
 size 39801963