diff --git a/owlapy/owl_neural_reasoners/owl_neural_reasoner.py b/owlapy/owl_neural_reasoners/owl_neural_reasoner.py
index c1dddde..c91af49 100644
--- a/owlapy/owl_neural_reasoners/owl_neural_reasoner.py
+++ b/owlapy/owl_neural_reasoners/owl_neural_reasoner.py
@@ -21,7 +21,7 @@ def is_valid_entity(text_input: str):
 
 class OWLNeuralReasoner(AbstractNeuralReasoner):
     """ OWL Neural Reasoner uses a neural link predictor to retrieve instances of an OWL Class Expression"""
-    def __init__(self, path_of_kb: str = None, path_neural_embedding: str = None, gamma: float = 0.25, max_cache_size: int = 2**20):
+    def __init__(self, path_of_kb: str = None, path_neural_embedding: str = None, gamma: float = 0.25, max_cache_size: int = 0):
         assert gamma is None or 0 <= gamma <= 1, "Confidence threshold (gamma) must be in the range [0, 1]."
         self.gamma = gamma
         self._prediction_cache = OrderedDict()
diff --git a/tests/test_neural_reasoner_accuracy.py b/tests/test_neural_reasoner_accuracy.py
index d63d4ed..68d8cb2 100644
--- a/tests/test_neural_reasoner_accuracy.py
+++ b/tests/test_neural_reasoner_accuracy.py
@@ -24,7 +24,7 @@ def test_retrieval_performance():
     seed = 42
     ratio_sample_object_prop = 1.0
     ratio_sample_nc = 1.0
-    num_nominals = 10
+    num_nominals = 5
     min_jaccard_similarity = 1.0  
     min_f1_score = 1.0