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@@ -43,6 +43,38 @@ model-index:
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  value: 0.9216699467726924 # Required. Example: 20.90
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  name: Validation (mismatched) f1 # Optional. Example: Test WER
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  ---
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  # T5ForSequenceClassification
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  **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.
 
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  value: 0.9216699467726924 # Required. Example: 20.90
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  name: Validation (mismatched) f1 # Optional. Example: Test WER
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+ - task:
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+ type: nli # Required. Example: automatic-speech-recognition
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+ name: Natural Language Inference # Optional. Example: Speech Recognition
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+ dataset:
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+ type: snli # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: SNLI # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ split: validation # Optional. Example: test
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+ metrics:
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+ - type: accuracy # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.9418817313554155 # Required. Example: 20.90
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+ name: Validation accuracy # Optional. Example: Test WER
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+
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+ - type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.9416213776111287 # Required. Example: 20.90
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+ name: Validation f1 # Optional. Example: Test WER
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+
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+ - task:
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+ type: nli # Required. Example: automatic-speech-recognition
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+ name: Natural Language Inference # Optional. Example: Speech Recognition
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+ dataset:
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+ type: scitail # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: SciTail # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ split: validation # Optional. Example: test
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+ metrics:
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+ - type: accuracy # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.9662576687116564 # Required. Example: 20.90
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+ name: Validation accuracy # Optional. Example: Test WER
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+
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+ - type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 0.6471347983817357 # Required. Example: 20.90
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+ name: Validation f1 # Optional. Example: Test WER
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+
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  ---
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  # T5ForSequenceClassification
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  **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.