readme: add final result on test set

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: ???
+         value: 18.272625
 ---
 
 # Wav2Vec2-Large-XLSR-53-Basque
@@ -104,7 +104,7 @@ model = Wav2Vec2ForCTC.from_pretrained("stefan-it/wav2vec2-large-xlsr-53-basque"
 
 model.to("cuda")
 
-chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�]'
+chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�]'
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
@@ -148,13 +148,13 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 ```
 
-**Test Result**:  %
+**Test Result**:  18.272625%
 
 ## Training
 
 The Common Voice `train`, `validation` datasets were used for training.
 
-The script used for training can be found ???
+The script used for training can be found here, hopefully very soon!
 
 ## Acknowledgements