diff --git a/egs/himia/wuw/ctc_tdnn/decode.py b/egs/himia/wuw/ctc_tdnn/decode.py
index 9d05a3310..747f7ff52 100755
--- a/egs/himia/wuw/ctc_tdnn/decode.py
+++ b/egs/himia/wuw/ctc_tdnn/decode.py
@@ -83,7 +83,7 @@ class FiniteStateTransducer:
             if len(arc) == 4:  # Non-final state
                 assert max_state_id <= src_state_id, (
                     f"Fsa must be sorted by src_state, "
-                    f"while {cur_number_states} <= {src_state_id}. Check your graph."
+                    f"while {max_state_id} <= {src_state_id}. Check your graph."
                 )
                 if max_state_id < src_state_id:
                     new_state = State()
@@ -95,7 +95,7 @@ class FiniteStateTransducer:
             else:
                 assert (
                     max_state_id == src_state_id
-                ), f"Final state seems unreachable. Check your graph."
+                ), "Final state seems unreachable. Check your graph."
                 self.final_state_id = src_state_id
 
     def to_str(self) -> None:
diff --git a/egs/himia/wuw/ctc_tdnn/train.py b/egs/himia/wuw/ctc_tdnn/train.py
index 04953d9c3..d35744e20 100755
--- a/egs/himia/wuw/ctc_tdnn/train.py
+++ b/egs/himia/wuw/ctc_tdnn/train.py
@@ -529,7 +529,7 @@ def run(rank, world_size, args):
 
     logging.info("About to create model")
 
-    model = Tdnn(params.feature_dim, params.numb_class)
+    model = Tdnn(params.feature_dim, params.num_class)
 
     checkpoints = load_checkpoint_if_available(params=params, model=model)
 
diff --git a/egs/himia/wuw/run_ctc_tdnn.sh b/egs/himia/wuw/run_ctc_tdnn.sh
index 258c2b2b1..2f6a1788f 100644
--- a/egs/himia/wuw/run_ctc_tdnn.sh
+++ b/egs/himia/wuw/run_ctc_tdnn.sh
@@ -26,7 +26,7 @@ if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
   log "Stage 0: Model training"
   python ./ctc_tdnn/train.py \
     --num-epochs $epoch \
-    --exp_dir $exp_dir
+    --exp-dir $exp_dir
     --max-duration $max_duration
 fi