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Update README.md

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Arthur Zucker 2022-10-10 09:20:17 +00:00 committed by huggingface-web
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@ -124,7 +124,7 @@ model-index:
metrics: metrics:
- name: Test WER - name: Test WER
type: wer type: wer
value: 7,639504403417127 value: 0.07547098647858638
- task: - task:
name: Automatic Speech Recognition name: Automatic Speech Recognition
type: automatic-speech-recognition type: automatic-speech-recognition
@ -138,7 +138,7 @@ model-index:
metrics: metrics:
- name: Test WER - name: Test WER
type: wer type: wer
value: 17,145720661094513 value: 0.17145720661094513
pipeline_tag: automatic-speech-recognition pipeline_tag: automatic-speech-recognition
license: apache-2.0 license: apache-2.0
--- ---
@ -306,7 +306,7 @@ This code snippet shows how to evaluate **openai/whisper-tiny** on LibriSpeech's
>>> result = librispeech_eval.map(map_to_pred, batched=True, batch_size=1, remove_columns=["speech"]) >>> result = librispeech_eval.map(map_to_pred, batched=True, batch_size=1, remove_columns=["speech"])
>>> print("WER:", wer(result["text"], result["transcription"])) >>> print("WER:", wer(result["text"], result["transcription"]))
0.07639504403417127 0.07547098647858638
``` ```