Update README.md

README.md

@@ -43,6 +43,38 @@ model-index:
         value: 0.9216699467726924    # Required. Example: 20.90
         name: Validation (mismatched) f1         # Optional. Example: Test WER
 
+  - task:
+      type: nli             # Required. Example: automatic-speech-recognition
+      name: Natural Language Inference             # Optional. Example: Speech Recognition
+    dataset:
+      type: snli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: SNLI           # Required. A pretty name for the dataset. Example: Common Voice (French)
+      split: validation        # Optional. Example: test
+    metrics:
+      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.9418817313554155    # Required. Example: 20.90
+        name: Validation accuracy         # Optional. Example: Test WER
+
+      - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.9416213776111287    # Required. Example: 20.90
+        name: Validation f1         # Optional. Example: Test WER
+
+  - task:
+      type: nli             # Required. Example: automatic-speech-recognition
+      name: Natural Language Inference             # Optional. Example: Speech Recognition
+    dataset:
+      type: scitail          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: SciTail           # Required. A pretty name for the dataset. Example: Common Voice (French)
+      split: validation        # Optional. Example: test
+    metrics:
+      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.9662576687116564    # Required. Example: 20.90
+        name: Validation accuracy         # Optional. Example: Test WER
+
+      - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 0.6471347983817357    # Required. Example: 20.90
+        name: Validation 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.