diff --git a/egs/librispeech/ASR/lstm_transducer_stateless/train.py b/egs/librispeech/ASR/lstm_transducer_stateless/train.py
index 3bc8d7843..a50686df9 100755
--- a/egs/librispeech/ASR/lstm_transducer_stateless/train.py
+++ b/egs/librispeech/ASR/lstm_transducer_stateless/train.py
@@ -505,9 +505,6 @@ def load_checkpoint_if_available(
         if "cur_epoch" in saved_params:
             params["start_epoch"] = saved_params["cur_epoch"]
 
-        if "cur_batch_idx" in saved_params:
-            params["cur_batch_idx"] = saved_params["cur_batch_idx"]
-
     return saved_params
 
 
@@ -615,8 +612,6 @@ def compute_loss(
             warmup=warmup,
             reduction="none",
         )
-        simple_loss[0] = float("inf")
-        pruned_loss[1] = float("nan")
         simple_loss_is_finite = torch.isfinite(simple_loss)
         pruned_loss_is_finite = torch.isfinite(pruned_loss)
         is_finite = simple_loss_is_finite & pruned_loss_is_finite
@@ -769,13 +764,7 @@ def train_one_epoch(
 
     tot_loss = MetricsTracker()
 
-    cur_batch_idx = params.get("cur_batch_idx", 0)
-
     for batch_idx, batch in enumerate(train_dl):
-        if batch_idx < cur_batch_idx:
-            continue
-        cur_batch_idx = batch_idx
-
         params.batch_idx_train += 1
         batch_size = len(batch["supervisions"]["text"])
 
@@ -821,7 +810,6 @@ def train_one_epoch(
             params.batch_idx_train > 0
             and params.batch_idx_train % params.save_every_n == 0
         ):
-            params.cur_batch_idx = batch_idx
             save_checkpoint_with_global_batch_idx(
                 out_dir=params.exp_dir,
                 global_batch_idx=params.batch_idx_train,
@@ -834,7 +822,6 @@ def train_one_epoch(
                 scaler=scaler,
                 rank=rank,
             )
-            del params.cur_batch_idx
             remove_checkpoints(
                 out_dir=params.exp_dir,
                 topk=params.keep_last_k,