diff --git a/flash_examples/speech_recognition.py b/flash_examples/speech_recognition.py
index b3fc8eba10..5cdb120285 100644
--- a/flash_examples/speech_recognition.py
+++ b/flash_examples/speech_recognition.py
@@ -29,7 +29,7 @@
 )
 
 # 2. Build the task
-model = SpeechRecognition(backbone="facebook/wav2vec2-base-960h")
+model = SpeechRecognition(backbone="facebook/wav2vec2-base-960h", learning_rate=1e-5)
 
 # 3. Create the trainer and finetune the model
 trainer = flash.Trainer(max_epochs=1, gpus=torch.cuda.device_count())
@@ -38,7 +38,8 @@
 # 4. Predict on audio files!
 datamodule = SpeechRecognitionData.from_files(predict_files=["data/timit/example.wav"], batch_size=4)
 predictions = trainer.predict(model, datamodule=datamodule)
-print(predictions)
+
+print("Predictions: ", predictions)
 
 # 5. Save the model!
 trainer.save_checkpoint("speech_recognition_model.pt")