C

README.md

@@ -25,10 +25,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 16.943492
+         value: 14.298610
        - name: Test CER
          type: cer
-         value: 5.509278
+         value: 4.925294
 ---
 
 # Wav2Vec2-Large-XLSR-53-Swedish
@@ -126,8 +126,8 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 print("CER: {:2f}".format(100 * wer.compute(predictions=[" ".join(list(entry)) for entry in result["pred_strings"]], references=[" ".join(list(entry)) for entry in result["sentence"]])))
 ```
 
-**WER**: 16.94%
-**CER**: 5.51%
+**WER**: 14.298610%
+**CER**: 4.925294%
 
 ## Training