best val_rmse 0.0884

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.10537855327129364,
+  "best_val_loss": 0.08841174095869064,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -18,7 +18,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/f5e3f2ed953d4676bfaa308cffe741d4",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/0a18b8c2c65342759a19ff3e42323f37",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -155,11 +155,11 @@
       "simulated_ou_as_rates"
     ],
     "test_protocol": "simulated",
-    "test_size": 5,
+    "test_size": 10,
     "tqdm_progress": false,
-    "train_size": 30,
+    "train_size": 1000,
     "val_protocol": "simulated",
-    "val_size": 5,
+    "val_size": 10,
     "z_score_normalization": false
   },
   "model_type": "node_pk",
@@ -219,16 +219,16 @@
   },
   "train": {
     "amsgrad": false,
-    "batch_size": 8,
+    "batch_size": 32,
     "betas": [
       0.9,
       0.999
     ],
-    "epochs": 3,
+    "epochs": 100,
     "eps": 1e-08,
     "eval_empirical_every_pct": 0.25,
     "gradient_clip_val": 1.0,
-    "learning_rate": 0.00023,
+    "learning_rate": 0.0001,
     "log_image_every_epoch": 2,
     "log_interval": 1,
     "log_vcp": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:9767ac4c651605bd40796997bb0d0e6789b7d7f2d614fe64e1a192a821433b9b
 size 4910617