diff --git a/neurolib/models/model.py b/neurolib/models/model.py
index 5a068956..ea31303d 100644
--- a/neurolib/models/model.py
+++ b/neurolib/models/model.py
@@ -324,9 +324,6 @@ def storeOutputsAndStates(self, t, variables, append=False):
     def setInitialValuesToLastState(self):
         """Reads the last state of the model and sets the initial conditions to that state for continuing a simulation."""
         if not all([sv in self.state for sv in self.state_vars]):
-            logging.warning(
-                f"`setInitialValuesToLastState` was called, but the state dict is incomplete. This is probably caused by `continue_run=True` on the first model run."
-            )
             return
         for iv, sv in zip(self.init_vars, self.state_vars):
             # if state variables are one-dimensional (in space only)
diff --git a/neurolib/models/multimodel/model.py b/neurolib/models/multimodel/model.py
index cc000de9..381d10a9 100644
--- a/neurolib/models/multimodel/model.py
+++ b/neurolib/models/multimodel/model.py
@@ -203,9 +203,6 @@ def integrate(self, append_outputs=False, simulate_bold=False, noise_input=None)
 
     def setInitialValuesToLastState(self):
         if not self.state:
-            logging.warning(
-                f"`setInitialValuesToLastState` was called, but the state dict is empty. This is probably caused by `continue_run=True` on the first model run."
-            )
             return
         new_initial_state = np.zeros((self.model_instance.initial_state.shape[0], self.maxDelay + 1))
         total_vars_counter = 0