Update README.md

README.md

@@ -24,10 +24,24 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: []
+         value: 0.4186593492747942
        - name: Test CER
          type: cer
-         value: []
+         value: 0.13301322550753938
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: pa-IN
+    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
@@ -40,19 +54,17 @@ It achieves the following results on the evaluation set:
 - Loss: 0.8881
 - Wer: 0.4175
 
-## Model description
+### Evaluation Commands
 
-More information needed
 
-## 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-xls-r-300m-pa-IN-r5 --dataset mozilla-foundation/common_voice_8_0 --config pa-IN --split test --log_outputs
 
-## Training and evaluation data
+2. To evaluate on speech-recognition-community-v2/dev_data
 
-More information needed
+Punjabi language isn't available in speech-recognition-community-v2/dev_data
 
-## Training procedure
 
 ### Training hyperparameters