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@@ -17,15 +17,13 @@ datasets:
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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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  should probably proofread and complete it, then remove this comment. -->
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- # Wav2Vec-Bert-2.0-Urdu
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  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the Urdu split of the [Common Voice 17](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) dataset. The fine-tuned model is enhanced with the addition of an ngram language model that has also been trained on the same dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3681
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  - Wer: 0.2407
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- ## Model description
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-
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  ## Usage Instructions
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  ```python
 
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # Wav2Vec-Bert-2.0-ngram-Urdu
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  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the Urdu split of the [Common Voice 17](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) dataset. The fine-tuned model is enhanced with the addition of an ngram language model that has also been trained on the same dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3681
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  - Wer: 0.2407
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  ## Usage Instructions
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  ```python