Update README.md

README.md

@@ -24,10 +24,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 18.85
+         value: 16.98
        - name: Test CER
          type: cer
-         value: 6.6
+         value: 5.66
   - task: 
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
@@ -51,8 +51,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - SV-SE dataset.
 It achieves the following results on the evaluation set:
+
 - Loss: 0.3171
-- Wer: 0.2730
+- Wer: 0.2468
 
 ## Model description
 
@@ -176,6 +177,6 @@ transcription = processor.batch_decode(logits.numpy()).text
 
 | Without LM | With LM (run `./eval.py`) |
 |---|---|
-| 27.30 | 18.85 |
+| 24.68 | 16.98 |