diff --git a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp
index 5f1f01f7f..42af08c64 100644
Binary files a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp and b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp differ
diff --git a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
index 480160629..2d4d1b0e4 100755
--- a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
+++ b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
@@ -849,8 +849,7 @@ def compute_loss(
     warm_step = params.warm_step
 
     texts = batch["supervisions"]["text"]
-    print(texts)
-    exit()
+    texts = [text.upper() for text in texts]
     
     token_ids = sp.encode(texts, out_type=int)
     y = k2.RaggedTensor(token_ids).to(device)