Update README.md

README.md

@@ -1,17 +1,21 @@
 ---
 language:
-- iloko  
+- en  
+
+license: Academic Free License v3.0  
 
-license: Academic Free License v3.0  # Example: apache-2.0 or any license from https://hf.co/docs/hub/model-repos#list-of-license-identifiers
 tags:
 - audio  # Example: audio
 - automatic-speech-recognition  # Example: automatic-speech-recognition
 - speech  # Example: speech
-- {tag_3}  # Example to specify a library: allennlp
+
+pipeline_tag: automatic-speech-recognition
+
 datasets:
-- own dataset  # Example: common_voice. Use dataset id from https://hf.co/datasets
+- timit_asr # Example: common_voice. Use dataset id from https://hf.co/datasets
+
 metrics:
-- wer  # Example: wer. Use metric id from https://hf.co/metrics
+- wer  
 
 # Optional. Add this if you want to encode your eval results in a structured way.
 model-index:
@@ -20,13 +24,10 @@ model-index:
   - task: 
       type: automatic-speech-recognition  # Required. Example: automatic-speech-recognition
       name: Iloko Speech Recognition  # Optional. Example: Speech Recognition
-    #dataset:
-      #type: own dataset  # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      #name: iloko_dataset  # Required. Example: Common Voice zh-CN
-      #args: {arg_0}         # Optional. Example: zh-CN
+   
     metrics:
       - type: wer   # Required. Example: wer
-        value: 0.08 # Required. Example: 20.90
+        value: 0.009 # Required. Example: 20.90
         name: TEST WETR    # Optional. Example: Test WER
        # args: {arg_0}          # Optional. Example for BLEU: max_order
 ---