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README.md
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- robust-speech-event
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- model_for_talk
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datasets:
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model-index:
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- name: wav2vec2-large-xls-r-300m-cv8-nl
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results:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name:
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type: mozilla-foundation/common_voice_8_0
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args: nl
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metrics:
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@@ -51,8 +51,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
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It achieves the following results on the testset of commonvoice:
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- Loss:
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- Wer: 0.371
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## Model description
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- robust-speech-event
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- model_for_talk
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datasets:
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- mozilla-foundation/common_voice_8_0
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model-index:
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- name: wav2vec2-large-xls-r-300m-cv8-nl
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results:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: nl
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metrics:
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
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It achieves the following results on the testset of commonvoice:
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- Loss: NA, see below loss on validation (eval)
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- Wer: 0.371 -> detailed metrics
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## Model description
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