Update README.md

README.md

@@ -15,15 +15,6 @@ license: cc-by-nc-4.0
 model-index:
 - name: Wav2vec 2.0 large VoxPopuli-sv swedish
   results:
-#  - task: 
-#      name: Speech Recognition
-#      type: automatic-speech-recognition
-#    dataset:
-#      name: NST Swedish ASR Database
-#    metrics:
-#       - name: Test WER
-#         type: wer
-#         value: 5.192353080009441
   - task: 
       name: Speech Recognition
       type: automatic-speech-recognition
@@ -34,10 +25,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 14.343744
+         value: 13.585485
        - name: Test CER
          type: cer
-         value: 4.936313
+         value: 4.850368
 ---
 # Wav2vec 2.0 large-voxpopuli-sv-swedish
 Finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model using NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **6.19%**, WER for Common Voice test set is **14.34%**.