best val_rmse 0.2080

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 1.180222988128662,
+  "best_val_loss": 0.20801889896392822,
   "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/3d0ac45756a740efa2465cd97c402b3a",
+  "experiment_dir": "/home/cesarali/Pharma/generative_pk/results/comet/node_pk_compartments/9ab78fb7a8f0417fba9b79d2c1199e33",
   "experiment_indentifier": null,
   "experiment_name": "node_pk_compartments",
   "hf_model_card_path": [
@@ -156,6 +156,7 @@
     ],
     "test_protocol": "simulated",
     "test_size": 5,
+    "tqdm_progress": false,
     "train_size": 10,
     "val_protocol": "simulated",
     "val_size": 5,
@@ -168,6 +169,7 @@
     "activation": "ReLU",
     "aggregator_num_heads": 2,
     "aggregator_type": "attention",
+    "combine_latent_mode": "mlp",
     "cov_proj_dim": 16,
     "decoder_attention_layers": 2,
     "decoder_hidden_dim": 32,
@@ -192,6 +194,7 @@
     "time_obs_encoder_hidden_dim": 32,
     "time_obs_encoder_output_dim": 32,
     "use_attention": true,
+    "use_invariance_loss": false,
     "use_kl_i": true,
     "use_kl_init": true,
     "use_kl_s": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c0f446c43ac3e7e2a1b15f9fca390f832c1819a7b0cc0369f0bcb999d1c8f86b
 size 168701