best val_rmse 0.0054

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.004250000696629286,
+  "best_val_loss": 0.005429516546428204,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -34,7 +34,7 @@
     "same_route": true,
     "time": 0.0
   },
-  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/aistats/ad11eeeb2bdb47e79e1eac64cba51b69",
+  "experiment_dir": "/work/ojedamarin/Projects/Pharma/Results/comet/aistats/292f789df6204c838eebc029cb4d03fc",
   "experiment_indentifier": null,
   "experiment_name": "aistats",
   "hf_model_card_path": [
@@ -189,7 +189,7 @@
     "cov_proj_dim": 16,
     "decoder_attention_layers": 2,
     "decoder_hidden_dim": 512,
-    "decoder_name": "RNNDecoder",
+    "decoder_name": "TransformerDecoder",
     "decoder_num_layers": 4,
     "decoder_rnn_hidden_dim": 256,
     "drift_activation": "Tanh",
@@ -228,7 +228,7 @@
   "run_index": 0,
   "tags": [
     "AISTATS-2026",
-    "AICME-NODE-PK"
+    "AICME-T-PK"
   ],
   "target_observations": {
     "add_rem": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 30610195
+oid sha256:5ac43bee20cf20772b0c6bcf07a1a1b3ddc5540cfeeb5f21c5db5823386d7f53
+size 40329595