diff --git a/pysr/export_torch.py b/pysr/export_torch.py
index eb3ccd8aa..3dcbafecc 100644
--- a/pysr/export_torch.py
+++ b/pysr/export_torch.py
@@ -92,7 +92,10 @@ def __init__(self, *, expr, _memodict, _func_lookup, **kwargs):
 
                 self._sympy_func = expr.func
 
-                if issubclass(expr.func, sympy.Float):
+                if (
+                    issubclass(expr.func, sympy.Float)
+                    or expr.func is sympy.core.numbers.One
+                ):
                     self._value = torch.nn.Parameter(torch.tensor(float(expr)))
                     self._torch_func = lambda: self._value
                     self._args = ()
diff --git a/pysr/test/test_torch.py b/pysr/test/test_torch.py
index 256d21f86..58c6179df 100644
--- a/pysr/test/test_torch.py
+++ b/pysr/test/test_torch.py
@@ -29,6 +29,16 @@ def test_sympy2torch(self):
             np.all(np.isclose(torch_module(X).detach().numpy(), true.detach().numpy()))
         )
 
+    def test_sympy2torch_number_symbol(self):
+        x, y, z = sympy.symbols("x y z")
+        expr = sympy.sin(sympy.sign(-0.041662704))
+
+        X = self.torch.tensor(np.random.randn(1000, 3))
+        true = self.torch.sin(self.torch.tensor(-1))
+        torch_module = sympy2torch(expr, [x, y, z])
+        torch_out = torch_module(X)
+        self.assertTrue(np.isclose(torch_out.detach().numpy(), true.detach().numpy()))
+
     def test_pipeline_pandas(self):
         X = pd.DataFrame(np.random.randn(100, 10))
         y = np.ones(X.shape[0])