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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- fleurs
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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: fleurs
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config: ps_af
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split: test
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args: ps_af
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metrics:
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- name: Wer
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type: wer
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# facebook/wav2vec2-xls-r-300m
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.9162
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- Wer: 0.5156
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---
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- google/fleurs
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- generated_from_trainer
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datasets:
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- fleurs
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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: GOOGLE/FLEURS - PS_AF
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type: fleurs
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config: ps_af
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split: test
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args: 'Config: ps_af, Training split: train+validation, Eval split: test'
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metrics:
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- name: Wer
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type: wer
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# facebook/wav2vec2-xls-r-300m
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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 GOOGLE/FLEURS - PS_AF dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9162
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- Wer: 0.5156
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