Update README.md

README.md

@@ -21,11 +21,25 @@ model-index:
       args: hi
     metrics:
       - type: wer    
-        value: []  
+        value: 0.3891350503092403 
         name: Test WER    
       - name: Test CER
         type: cer
-        value: []
+        value: 0.13016327327131985
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: hi
+    metrics:
+       - name: Test WER
+         type: wer
+         value: NA
+       - name: Test CER
+         type: cer
+         value: NA
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -38,19 +52,16 @@ It achieves the following results on the evaluation set:
 - Loss: 0.7322
 - Wer: 0.3469
 
-## Model description
-
-More information needed
+### Evaluation Commands
 
-## Intended uses & limitations
+1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
 
-More information needed
+python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-hi-cv8-b2 --dataset mozilla-foundation/common_voice_8_0 --config hi --split test --log_outputs
 
-## Training and evaluation data
+2. To evaluate on speech-recognition-community-v2/dev_data
 
-More information needed
+Hindi language isn't available in speech-recognition-community-v2/dev_data
 
-## Training procedure
 
 ### Training hyperparameters