Updated the README

README.md

@@ -29,9 +29,12 @@ results:
         type: iiith
         args: hi
     metrics:
-       - name: Test WER
+       - name: Custom Dataset Hindi WER
          type: wer
-         value: 19.05
+         value: 17.23
+       - name: CommonVoice Hindi (Test) WER 
+         type: wer
+         value: 52.35
 ---
 
 # Wav2Vec2-Large-XLSR-53-Hindi
@@ -132,7 +135,8 @@ 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**: 19.056 % 
+**Test Result on CommonVoice**: 52.xx % 
+
 
 
 ## Training