diff --git a/TrainerClass.py b/TrainerClass.py
index 7f349f1..de8a750 100644
--- a/TrainerClass.py
+++ b/TrainerClass.py
@@ -191,9 +191,9 @@ class eNoseTrainer:
 # maxpool 2 o 3 => 2 | 2/15
         def build_model_conv1D(config, input_shape, output_dim):
             model = keras.Sequential([
-                layers.Conv1D(filters=config['filters'], kernel_size=config['kernel_l1'], stride=config['kernel_l1']//2, activation='relu', padding='causal', input_shape=input_shape),
+                layers.Conv1D(filters=config['filters'], kernel_size=config['kernel_l1'], strides=config['kernel_l1']//2, activation='relu', padding='causal', input_shape=input_shape),
                 layers.MaxPooling1D(pool_size=config['pool_size']),
-                layers.Conv1D(filters=config['filters'] * 2, kernel_size=config['kernel_l2'], stride=config['kernel_l2']//2, activation='relu', padding='causal'),
+                layers.Conv1D(filters=config['filters'] * 2, kernel_size=config['kernel_l2'], strides=config['kernel_l2']//2, activation='relu', padding='causal'),
                 layers.MaxPooling1D(pool_size=config['pool_size']),
                 layers.Flatten(),
                 layers.Dense(config['dense_units'], activation='relu'),