Update README.md

README.md

@@ -17,7 +17,11 @@ model-index:
   results:
       - task:
           name: Speech Recognition
-          type: automatic-speech-recognition        
+          type: automatic-speech-recognition
+        dataset:
+          name: Common Voice 13.0 fa
+          type: common_voice_13_0
+          args: fa
         metrics:
           - name: Test WER
             type: wer
@@ -49,7 +53,7 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xlsr-persian-asr-shemo_me7494
 
 This model is a fine-tuned version of [masoudmzb/wav2vec2-xlsr-multilingual-53-fa](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa)
-on the [ShEMO](https://github.com/pariajm/sharif-emotional-speech-dataset) dataset.
+on the [ShEMO](https://github.com/pariajm/sharif-emotional-speech-dataset) dataset for speech recognition in Persian (Farsi).
 It achieves the following results:
 - Loss on ShEMO train set: 0.7618
 - Loss on ShEMO dev set:   0.6728
@@ -57,8 +61,16 @@ It achieves the following results:
 - WER on ShEMO dev set:            32.85
 - WER on Common Voice 13 test set: 19.21
 
+Model description
+
 ## Model description
 
+### Model description
+
+### Model description
+
+### Model description
+
 More information needed
 
 ## Intended uses & limitations