typo

README.md

@@ -27,7 +27,8 @@ model-index:
          type: wer
          value: 15.345730
        - name: Test CER
-         type: c
+         type: cer
+         value: 5.573185
 ---
 
 # Wav2Vec2-Large-XLSR-53-Swedish
@@ -128,6 +129,7 @@ print("CER: {:2f}".format(100 * wer.compute(predictions=[" ".join(list(entry)) f
 
 **Test Result**:  15.345730 %
 
+
 As first step used Common Voice train dataset and parts from NST
 as can be found [here](https://github.com/se-asr/nst/tree/master).
 Part of NST where removed using this mask