Update README.md

README.md

@@ -312,7 +312,7 @@ def evaluate(batch):
 result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
 ```
-**Test Result**: 52.48 % 
+**Test Result**: 49.58 % 
 ## Training
 The Common Voice `train`, `validation` and FOSD datasets and VIVOS datasets were used for training as well.
 The script used for training can be found [here](https://colab.research.google.com/drive/11pP4uVJj4SYZTzGjlCUtOHywlhYqs0cPx)