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Update README.md
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README.md
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@@ -22,10 +22,10 @@ model-index:
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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: 0.9230769230769231 # Required. Example: 20.90
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name: Validation
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- type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 0.9225172687920663 # Required. Example: 20.90
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name: Validation
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- task:
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type: nli # Required. Example: automatic-speech-recognition
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@@ -37,11 +37,11 @@ model-index:
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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: 0.9222945484133441 # Required. Example: 20.90
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name: Validation
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- type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 0.9216699467726924 # Required. Example: 20.90
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name: Validation
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---
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# T5ForSequenceClassification
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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: 0.9230769230769231 # Required. Example: 20.90
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name: Validation (matched) accuracy # Optional. Example: Test WER
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- type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 0.9225172687920663 # Required. Example: 20.90
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name: Validation (matched) 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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metrics:
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- type: accuracy # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 0.9222945484133441 # Required. Example: 20.90
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name: Validation (mismatched) accuracy # Optional. Example: Test WER
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- type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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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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