best val_rmse 0.0777

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.14773502945899963,
+  "best_val_loss": 0.07772710174322128,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -18,7 +18,7 @@
     "route": "oral",
     "time": 0.0
   },
-  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/e25d7e1af88047e2bfc76c673752e5a7",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/node_pk_compartments/7749ed965e0641f7937a944be7d5fa77",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -132,7 +132,7 @@
   },
   "mix_data": {
     "evaluate_prediction_steps_past": 5,
-    "keep_tempfile": true,
+    "keep_tempfile": false,
     "log_transform": false,
     "n_of_databatches": 3,
     "n_of_target_individuals": 1,
@@ -143,7 +143,7 @@
       "lenuzza",
       "Lenuzza2016.csv"
     ],
-    "pretraining_epochs": 8,
+    "pretraining_epochs": 800,
     "pretraining_protocol": "none",
     "recreate_tempfile": true,
     "return_split_versions": true,
@@ -155,10 +155,10 @@
       "simulated_ou_as_rates"
     ],
     "test_protocol": "simulated",
-    "test_size": 5,
+    "test_size": 50,
     "train_size": 1000,
     "val_protocol": "simulated",
-    "val_size": 5,
+    "val_size": 50,
     "z_score_normalization": false
   },
   "model_type": "node_pk",
@@ -181,7 +181,7 @@
     "exclusive_node_step": true,
     "individual_encoder_name": "RNNContextEncoder",
     "individual_encoder_number_of_heads": 4,
-    "init_hidden_num_layers": 2,
+    "init_hidden_num_layers": 4,
     "input_encoding_hidden_dim": 128,
     "loss_name": "nll",
     "node_step": true,
@@ -216,12 +216,12 @@
   },
   "train": {
     "amsgrad": false,
-    "batch_size": 16,
+    "batch_size": 32,
     "betas": [
       0.9,
       0.999
     ],
-    "epochs": 10,
+    "epochs": 1000,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
     "learning_rate": 0.0001,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:ba01bc2d1cad8f73c2fa0c5e81aa72d1eedd2338dbadebe64aee0e23782af407
 size 38747354