Update README.md

README.md

@@ -16,16 +16,20 @@ metrics:
 model-index:
 - name: 'shivam/wav2vec2-xls-r-hindi'
   results:
-  - task: 
-      type: 'automatic-speech-recognition'
-      name: 'Speech Recognition'
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition 
     dataset:
-      type: 'mozilla-foundation/common_voice_7_0'
-      name: 'Common Voice Corpus 7.0'
-      args: 'hi'
+      name: Common Voice Corpus 7.0
+      type: mozilla-foundation/common_voice_7_0
+      args: hi
     metrics:
-      - type: 'wer'
-      - type: 'cer'
+       - name: Test WER
+         type: wer
+         value: 52.30
+       - name: Test CER
+         type: cer
+         value: 26.09
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,13 +44,9 @@ It achieves the following results on the evaluation set:
 
 ## Evaluation results on Common Voice 7 "test" (Running ./eval.py):
 
-### Without LM
-- WER: 0.41
-- CER: 0.16
-
 ### With LM
-- WER: 0.31
-- CER: 0.13
+- WER: 52.30
+- CER: 26.09
 
 ## Model description