updated the WER

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 50.0
+         value: 66.98
 ---
 
 # Wav2Vec2-Large-XLSR-Turkish
@@ -115,7 +115,7 @@ 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**: 50.0 %
+**Test Result**: 66.98 %
 
 ## Training