Update README.md

README.md

@@ -5,10 +5,31 @@ datasets:
 language:
 - ur
 metrics:
-- wer:0.5747
-- cer:0.3268
+- wer
+- cer
 library_name: transformers
 pipeline_tag: automatic-speech-recognition
+
+model-index:
+- name: wav2vec2-urdu
+  results:
+  - task:
+      type: automatic-speech-recognition             # Required. Example: automatic-speech-recognition
+      name: Urdu Speech Recognition            # Optional. Example: Speech Recognition
+    dataset:
+      type: common_voice          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: Common Voice (Urdu)          # Required. A pretty name for the dataset. Example: Common Voice (French)
+    metrics:
+      - type: wer         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.5747       # Required. Example: 20.90
+        name: WER         # Optional. Example: Test WER
+        config: load_metric("wer")     # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
+        verified: true              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+      - type: cer         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.3268       # Required. Example: 20.90
+        name: CER        # Optional. Example: Test WER
+        config: load_metric("cer")     # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
+        verified: true              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
 ---
 
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