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README.md

@@ -1,10 +1,10 @@
 ---
-language: 
+language:
 - ur
-
 license: apache-2.0
 tags:
 - automatic-speech-recognition
+- hf-asr-leaderboard
 - robust-speech-event
 datasets:
 - mozilla-foundation/common_voice_7_0
@@ -14,50 +14,50 @@ metrics:
 model-index:
 - name: wav2vec2-urdu
   results:
-  - task: 
-      type: automatic-speech-recognition  # Required. Example: automatic-speech-recognition
-      name: Speech Recognition  # Optional. Example: Speech Recognition
+  - task:
+      type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
-      type: mozilla-foundation/common_voice_7_0  # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: Common Voice ur  # Required. Example: Common Voice zh-CN
-      args: ur         # Optional. Example: zh-CN
+      type: mozilla-foundation/common_voice_7_0
+      name: Common Voice ur
+      args: ur
     metrics:
-      - type: wer    # Required. Example: wer
-        value: 52.40 # Required. Example: 20.90
-        name: Test WER    # Optional. Example: Test WER
-        args: 
-        - learning_rate: 0.0003
-        - train_batch_size: 64
-        - eval_batch_size: 8
-        - seed: 42
-        - gradient_accumulation_steps: 2
-        - total_train_batch_size: 128
-        - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-        - lr_scheduler_type: linear
-        - lr_scheduler_warmup_steps: 100
-        - num_epochs: 100
-        - mixed_precision_training: Native AMP        # Optional. Example for BLEU: max_order
-      - type: cer    # Required. Example: wer
-        value: 26.46  # Required. Example: 20.90
-        name: Test CER  # Optional. Example: Test WER
-        args: 
-        - learning_rate: 0.0003
-        - train_batch_size: 64
-        - eval_batch_size: 8
-        - seed: 42
-        - gradient_accumulation_steps: 2
-        - total_train_batch_size: 128
-        - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-        - lr_scheduler_type: linear
-        - lr_scheduler_warmup_steps: 100
-        - num_epochs: 100
-        - mixed_precision_training: Native AMP
-      - type: wer   # Required. Example: wer
-        value: 45.63  # Required. Example: 20.90
-        name: Test WER LM CV8     # Optional. Example: Test WER
-      - type: cer # Required. Example: wer
-        value: 20.45  # Required. Example: 20.90
-        name: Test CER LM CV8    # Optional. Example: Test WER  
+    - type: wer
+      value: 52.4
+      name: Test WER
+      args:
+      - learning_rate: 0.0003
+      - train_batch_size: 64
+      - eval_batch_size: 8
+      - seed: 42
+      - gradient_accumulation_steps: 2
+      - total_train_batch_size: 128
+      - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+      - lr_scheduler_type: linear
+      - lr_scheduler_warmup_steps: 100
+      - num_epochs: 100
+      - mixed_precision_training: Native AMP
+    - type: cer
+      value: 26.46
+      name: Test CER
+      args:
+      - learning_rate: 0.0003
+      - train_batch_size: 64
+      - eval_batch_size: 8
+      - seed: 42
+      - gradient_accumulation_steps: 2
+      - total_train_batch_size: 128
+      - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+      - lr_scheduler_type: linear
+      - lr_scheduler_warmup_steps: 100
+      - num_epochs: 100
+      - mixed_precision_training: Native AMP
+    - type: wer
+      value: 45.63
+      name: Test WER LM CV8
+    - type: cer
+      value: 20.45
+      name: Test CER LM CV8
 ---
 
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