Update README.md

README.md

@@ -24,10 +24,10 @@ model-index:
     metrics:
        - name: Eval WER
          type: wer
-         value: 21.10
+         value: 15.40
        - name: Eval CER
          type: cer
-         value: 0.06
+         value: 5.48
 
 ---
 
@@ -42,7 +42,10 @@ It achieves the following results on the evaluation set without a language model
 - CER: 0.0622
 
 ### Scores with Language Model
-A 5-gram KenLM was added to boost the models performance. The language model was created on a corpus mainly consisting of online newspapers, public reports and Wikipedia data.
+A 5-gram KenLM was added to boost the models performance. The language model was created on a corpus mainly consisting of online newspapers, public reports and Wikipedia data. After this we are getting these values.
+
+- WER: 0.1540
+- CER: 0.0548
 
 ## Team
 The model is developed by Rolf-Arild Braaten, Per Egil Kummervold, Andre Kåsen, Javier de la Rosa, Per Egil Solberg, and Freddy Wetjen. Name in alphabetic order.