Merge branch 'main' of https://huggingface.co./KBLab/wav2vec2-large-xlsr-53-swedish into main

README.md

@@ -25,10 +25,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 17.394837
+         value: 16.943492
        - name: Test CER
          type: cer
-         value: 5.643704
+         value: 5.509278
 ---
 
 # Wav2Vec2-Large-XLSR-53-Swedish
@@ -93,7 +93,7 @@ processor = Wav2Vec2Processor.from_pretrained("KBLab/wav2vec2-large-xlsr-53-swed
 model = Wav2Vec2ForCTC.from_pretrained("KBLab/wav2vec2-large-xlsr-53-swedish")
 model.to("cuda")
 
-chars_to_ignore_regex = '[,?.!\\\\\\\\-;:"“]'
+chars_to_ignore_regex = '[,?.!\\\\\\\\\\\\\\\\-;:"“]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
 # Preprocessing the datasets.
@@ -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**: 17.39%
-**CER**: 5.64%
+**WER**: 16.94%
+**CER**: 5.51%
 
 ## Training