Update README.md

README.md

@@ -19,7 +19,7 @@ model-index:
       name: Danish Common Voice 8.0
     metrics:
       - type: wer
-        value: 37.63
+        value: 30.51
   - task: 
       type: automatic-speech-recognition
     dataset:
@@ -27,7 +27,7 @@ model-index:
       name: Alvenir ASR test dataset
     metrics:
       - type: wer
-        value: 35.75
+        value: 28.33
 ---
 
 # KBLab-VoxRex-Wav2vec2-large-CV8-da
@@ -43,5 +43,5 @@ The model achieves the following WER scores (lower is better):
 
 | **Dataset** | **WER without LM** | **WER with 5-gram LM** |
 | :---:   | ---: | ---: |
-| [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 37.63 | xx.xx |
-| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 35.75 | xx.xx |
+| [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 37.63 | 30.51 |
+| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 35.75 | 28.33 |