Update README.md

README.md

@@ -18,12 +18,25 @@ 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)
-      split: validation_matched, validation_mismatched        # Optional. Example: test
+      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
       - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
         value: 0.9225172687920663    # Required. Example: 20.90
+
+  - task:
+      type: nli             # Required. Example: automatic-speech-recognition
+      name: Natural Language Inference             # Optional. Example: Speech Recognition
+    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)
+      split: validation_mismatched        # Optional. Example: test
+    metrics:
+      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.9222945484133441    # Required. Example: 20.90
+      - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.9216699467726924    # Required. Example: 20.90
 ---
 # T5ForSequenceClassification
 **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.