Update README.md

README.md

@@ -18,13 +18,14 @@ model-index:
     dataset:
       type: multi_nli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
       name: MultiNLI           # Required. A pretty name for the dataset. Example: Common Voice (French)
-      config: validation_matched      # Optional. The name of the dataset configuration used in `load_dataset()`. Example: fr in `load_dataset("common_voice", "fr")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name
       split: validation_matched        # Optional. Example: test
     metrics:
       - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: 0.9230769230769231    # Required. Example: 20.90
+        name: Validation macthed accuracy         # Optional. Example: Test WER
       - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: 0.9225172687920663    # Required. Example: 20.90
+        name: Validation macthed f1         # Optional. Example: Test WER
 
   - task:
       type: nli             # Required. Example: automatic-speech-recognition
@@ -36,8 +37,12 @@ model-index:
     metrics:
       - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: 0.9222945484133441    # Required. Example: 20.90
+        name: Validation mismacthed accuracy         # Optional. Example: Test WER
+
       - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: 0.9216699467726924    # Required. Example: 20.90
+        name: Validation mismacthed f1         # Optional. Example: Test WER
+
 ---
 # T5ForSequenceClassification
 **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.