diff --git a/egs/librispeech/ASR/conformer_ctc_embedding_scale/madam.py b/egs/librispeech/ASR/conformer_ctc_embedding_scale/madam.py
index bba17c375..019dbbe43 100644
--- a/egs/librispeech/ASR/conformer_ctc_embedding_scale/madam.py
+++ b/egs/librispeech/ASR/conformer_ctc_embedding_scale/madam.py
@@ -855,7 +855,7 @@ class Foam(object):
                  min_target_rms: float = 0.05,
                  limit_grad_factor: float = float('inf'),
                  l2_period: int = 1) -> None:
-        """Construct an Foam object."""
+        """Construct an Noam object."""
         self.optimizer = Madam(params, lr=0, betas=(0.9, 0.98), eps=1e-9,
                                min_target_rms=min_target_rms,
                                limit_grad_factor=limit_grad_factor,
@@ -933,20 +933,15 @@ class Foam(object):
         """Return state_dict."""
         return {
             "_step": self._step,
-            "warmup": self.warmup,
-            "factor": self.factor,
-            "model_size": self.model_size,
-            "_rate": self._rate,
-            "optimizer": self.optimizer.state_dict(),
         }
 
     def load_state_dict(self, state_dict):
-        """Load state_dict."""
+        """Load state_dict.  This is compatible with reading a Moam state_dict"""
         for key, value in state_dict.items():
             if key == "optimizer":
                 self.optimizer.load_state_dict(state_dict["optimizer"])
-            else:
-                setattr(self, key, value)
+            elif key == '_step':
+                self._step = value
 
 
 
@@ -1096,6 +1091,11 @@ def test_foam():
         model.zero_grad()
     print("")
 
+    state_dict = optimizer.state_dict()
+    step = optimizer._step
+    optimizer._step = 0
+    optimizer.load_state_dict(state_dict)
+    assert optimizer._step == step
 
 
 def test_to_device():