Update README.md

README.md

@@ -21,11 +21,12 @@ model-index:
       args: hi
     metrics:
       - type: wer  
-        value: []  
+        value: 0.3719684845500431 
         name: Test WER 
       - name: Test CER
         type: cer
-        value: []
+        value: 0.11763235514672798
+
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -38,19 +39,15 @@ It achieves the following results on the evaluation set:
 - Loss: 0.6552
 - Wer: 0.3200
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
+Evaluation Commands
 
-More information needed
+1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
 
-## Training and evaluation data
+python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-hi-wx1 --dataset mozilla-foundation/common_voice_7_0 --config hi --split test --log_outputs
 
-More information needed
+2. To evaluate on speech-recognition-community-v2/dev_data
 
-## Training procedure
+NA
 
 ### Training hyperparameters