Update README.md

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 52.48
+         value: 49.59
 ---
 # Wav2Vec2-Large-XLSR-53-Vietnamese
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Vietnamese using the [Common Voice](https://huggingface.co/datasets/common_voice), [FOSD](https://data.mendeley.com/datasets/k9sxg2twv4/4) and [VIVOS](https://ailab.hcmus.edu.vn/vivos).
@@ -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**: 49.58 % 
+**Test Result**: 49.59 % 
 ## 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)