Added results with LM

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 15.9
+         value: 10.3
        - name: Test CER
          type: cer 
-         value: 3.7
+         value: 2.6
 ---
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@@ -39,9 +39,9 @@ It achieves the following results on the evaluation set while training:
 - Wer: 0.1608
 - Cer: 0.0376
 
-The `eval.py` script results are:
-WER: 0.1590958616454367
-CER: 0.036940922561315544
+The `eval.py` script results using a LM are:
+WER: 0.10281503199350225
+CER: 0.02622802241689026
 
 ## Model description