diff --git a/egs/libriheavy/LM/zipformer1/train.py b/egs/libriheavy/LM/zipformer1/train.py
index fedd5b3d4..32535c438 100755
--- a/egs/libriheavy/LM/zipformer1/train.py
+++ b/egs/libriheavy/LM/zipformer1/train.py
@@ -258,56 +258,6 @@ def get_parser():
         """,
     )
 
-    parser.add_argument(
-        "--ref-duration",
-        type=float,
-        default=600,
-        help="Reference batch duration for purposes of adjusting batch counts for setting various "
-        "schedules inside the model"
-    )
-
-
-    parser.add_argument(
-        "--context-size",
-        type=int,
-        default=2,
-        help="The context size in the decoder. 1 means bigram; "
-        "2 means tri-gram",
-    )
-
-    parser.add_argument(
-        "--prune-range",
-        type=int,
-        default=5,
-        help="The prune range for rnnt loss, it means how many symbols(context)"
-        "we are using to compute the loss",
-    )
-
-    parser.add_argument(
-        "--lm-scale",
-        type=float,
-        default=0.25,
-        help="The scale to smooth the loss with lm "
-        "(output of prediction network) part.",
-    )
-
-    parser.add_argument(
-        "--am-scale",
-        type=float,
-        default=0.0,
-        help="The scale to smooth the loss with am (output of encoder network)"
-        "part.",
-    )
-
-    parser.add_argument(
-        "--simple-loss-scale",
-        type=float,
-        default=0.5,
-        help="To get pruning ranges, we will calculate a simple version"
-        "loss(joiner is just addition), this simple loss also uses for"
-        "training (as a regularization item). We will scale the simple loss"
-        "with this parameter before adding to the final loss.",
-    )
 
     parser.add_argument(
         "--seed",