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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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datasets:
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model-index:
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- name: wav2vec2-large-xls-r-300m-Urdu
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Wer: 0.6240
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- Cer: 0.2579
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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language:
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- ur
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- robust-speech-event
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datasets:
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- mozilla-foundation/common_voice_8_0
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metrics:
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- wer
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- cer
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model-index:
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- name: wav2vec2-large-xls-r-300m-Urdu
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results:
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- task:
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type: automatic-speech-recognition # Required. Example: automatic-speech-recognition
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name: Speech Recognition # Optional. Example: Speech Recognition
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dataset:
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type: mozilla-foundation/common_voice_8_0 # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: Common Voice ur # Required. Example: Common Voice zh-CN
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args: ur # Optional. Example: zh-CN
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metrics:
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- type: wer # Required. Example: wer
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value: 61.10 # Required. Example: 20.90
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name: Test WER # Optional. Example: Test WER
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# Optional. Example for BLEU: max_order
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- type: cer # Required. Example: wer
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value: 25.17 # Required. Example: 20.90
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name: Test CER # Optional. Example: Test WER
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Wer: 0.6240
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- Cer: 0.2579
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### Training hyperparameters
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