best val_rmse 0.0149

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.032189592719078064,
+  "best_val_loss": 0.014889253303408623,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -34,7 +34,7 @@
     "same_route": true,
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/93a7fec0eb854f52b153257b5035eb56",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/531e43dd533c41c3ab90095817d3ad7b",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -245,12 +245,12 @@
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 50,
     "eps": 1e-08,
     "eval_empirical_every_pct": 0.25,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.00023,
-    "log_image_every_epoch": 25,
+    "log_image_every_epoch": 2,
     "log_interval": 1,
     "log_vcp": false,
     "num_batch_plot": 1,

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 38753907
+oid sha256:4422ae469655d5a5b61a84e0908468fc6f78c5a5b61b5d916d6539546e30d9a2
+size 39021699