updating WER

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 25.67 
+         value: 24.85 
 ---
 
 # Wav2Vec2-Large-XLSR-53-German
@@ -140,7 +140,7 @@ 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**: 25.67 % 
+**Test Result**: 24.85 % 
 
 
 ## Training