readme score upd

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 31.30
+         value: 29.89
 ---
 
 # Wav2Vec2-Large-XLSR-53-Ukrainian
@@ -122,10 +122,10 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 ```
 
-**Test Result**: 31.30
+**Test Result**: 29.89
 
 ## Training
 
-The Common Voice `train`, `validation` and sample of the M-AILABS Ukrainian corpus.
+The Common Voice `train`, `validation` and the M-AILABS Ukrainian corpus.
 
 The script used for training will be available [here](https://github.com/arampacha/hf-sprint-xlsr) soon.