best val_rmse 0.1166

config.json

@@ -1,5 +1,5 @@
 {
-  "best_val_loss": 0.1277666687965393,
+  "best_val_loss": 0.11658719927072525,
   "comet_ai_key": null,
   "context_observations": {
     "add_rem": true,
@@ -137,7 +137,7 @@
     "aggregator_type": "mean",
     "decoder_hidden_dim": 256,
     "decoder_name": "RNNDecoder",
-    "decoder_num_layers": 2,
+    "decoder_num_layers": 4,
     "decoder_rnn_hidden_dim": 256,
     "drift_activation": "Tanh",
     "drift_num_layers": 3,
@@ -153,13 +153,13 @@
     "norm": "layer",
     "output_head_num_layers": 3,
     "rnn_decoder_number_of_layers": 2,
-    "rnn_individual_encoder_number_of_layers": 4,
+    "rnn_individual_encoder_number_of_layers": 2,
     "time_obs_encoder_hidden_dim": 200,
     "time_obs_encoder_output_dim": 200,
     "use_attention": true,
     "zi_latent_dim": 256
   },
-  "run_index": 5,
+  "run_index": 7,
   "tags": [
     "NODE-RNN",
     "LR",
@@ -186,7 +186,7 @@
     "epochs": 800,
     "eps": 1e-08,
     "gradient_clip_val": 1.0,
-    "learning_rate": 1e-05,
+    "learning_rate": 0.001,
     "log_image_every_epoch": 5,
     "log_interval": 1,
     "log_vcp": false,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08336c81643d66311108e521127a02bef5b1198bb68688ff8873ad23ac4ec150
-size 16813577
+oid sha256:3dc2423c01b83f1945ac6da14cbe5b1e1f4114090f752d85c3c4557cbc30b064
+size 13654601