diff --git a/.gitattributes b/.gitattributes
deleted file mode 100644
index 87e654b..0000000
--- a/.gitattributes
+++ /dev/null
@@ -1 +0,0 @@
-*.csv filter=lfs diff=lfs merge=lfs -text
diff --git a/src/training_scripts/autoregressive_quantiles.py b/src/training_scripts/autoregressive_quantiles.py
index 1fac750..a79b85d 100644
--- a/src/training_scripts/autoregressive_quantiles.py
+++ b/src/training_scripts/autoregressive_quantiles.py
@@ -59,11 +59,11 @@ else:
         quantiles = eval(quantiles)
 
 model_parameters = {
-    "learning_rate": 0.001,
-    "hidden_size": 512,
+    "learning_rate": 0.0001,
+    "hidden_size": 256,
     "num_layers": 4,
     "dropout": 0.2,
-    "time_feature_embedding": 8,
+    "time_feature_embedding": 16,
 }
 
 model_parameters = task.connect(model_parameters, name="model_parameters")
@@ -96,7 +96,7 @@ trainer = AutoRegressiveQuantileTrainer(
 trainer.add_metrics_to_track(
     [PinballLoss(quantiles), MSELoss(), L1Loss(), CRPSLoss(quantiles)]
 )
-trainer.early_stopping(patience=15)
+trainer.early_stopping(patience=30)
 trainer.plot_every(5)
 trainer.train(task=task, epochs=epochs, remotely=True)