Update README.md

README.md

@@ -1,17 +1,18 @@
 ---
 language: 
 - ur
+
 license: apache-2.0
 tags:
 - automatic-speech-recognition
 - robust-speech-event
 datasets:
-- common_voice_7_0
+- common_voice
 metrics:
 - wer
 - cer
 model-index:
-- name: wav2vec2-60-urdu
+- name: wav2vec2-large-xlsr-53-urdu
   results:
   - task: 
       type: automatic-speech-recognition  # Required. Example: automatic-speech-recognition
@@ -22,7 +23,7 @@ model-index:
       args: ur         # Optional. Example: zh-CN
     metrics:
       - type: wer    # Required. Example: wer
-        value: 59.8  # Required. Example: 20.90
+        value: 59.2  # Required. Example: 20.90
         name: Test WER    # Optional. Example: Test WER
         args: 
         - learning_rate: 0.0003
@@ -50,13 +51,8 @@ model-index:
         - lr_scheduler_type: linear
         - lr_scheduler_warmup_steps: 200
         - num_epochs: 50
-        - mixed_precision_training: Native AMP   
-        
- ---                   # Optional. Example for BLEU: max_order---
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
+        - mixed_precision_training: Native AMP         # Optional. Example for BLEU: max_order
+---
 # wav2vec2-large-xlsr-53-urdu
 
 This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-urdu-urm-60](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) on the common_voice dataset.