best val_rmse 0.0169

config.json

@@ -0,0 +1,277 @@
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+  "experiment_indentifier": null,
+  "experiment_name": "aistats",
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+    "NODE-PK_Readme.md"
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+    "tempfile_path": [
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+      "simulated_ou_as_rates"
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+    "test_empirical_datasets": [
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+      "cesarali/Indometacin",
+      "cesarali/Theophylline"
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+  "name_str": "PredictionPK",
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+  "run_index": 0,
+  "tags": [
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+    "NODE-PK"
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+    "past_time_ratio": 0.1,
+    "split_past_future": true,
+    "type": "pk_peak_half_life"
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+  "train": {
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+    "betas": [
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+      0.999
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+    "epochs": 10,
+    "eps": 1e-08,
+    "gradient_clip_val": 1.0,
+    "learning_rate": 0.0001,
+    "log_empirical_evaluation_pct": 0.5,
+    "log_image_every_epoch_pct": 0.5,
+    "log_interval": 1,
+    "log_prediction_in_val": true,
+    "log_reconstruction_in_val": true,
+    "log_vcp": false,
+    "num_batch_plot": 1,
+    "num_workers": 8,
+    "optimizer_name": "AdamW",
+    "persistent_workers": true,
+    "scheduler_name": "CosineAnnealingLR",
+    "scheduler_params": {
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+      "eta_min": 5e-05,
+      "last_epoch": -1
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+    "shuffle_val": true,
+    "weight_decay": 0.0001
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+  "transformers_version": "4.52.4",
+  "upload_to_hf_hub": false,
+  "verbose": false
+}

pytorch_model.bin

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