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  # wav2vec2-large-mms-1b-uyghur-latin
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2771
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- - Wer Ortho: 31.7116
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- - Cer Ortho: 6.1806
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- - Wer: 32.0111
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- - Cer: 0.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Cer Ortho | Wer | Cer |
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- |:-------------:|:------:|:----:|:---------------:|:---------:|:---------:|:-------:|:---:|
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- | 0.3425 | 1.0006 | 1313 | 0.3081 | 35.3122 | 6.8424 | 36.1785 | 0.0 |
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- | 0.3218 | 2.0011 | 2626 | 0.2771 | 31.7204 | 6.1840 | 32.0154 | 0.0 |
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- | 0.3012 | 3.0017 | 3939 | 0.2739 | 30.8949 | 5.9823 | 31.1827 | 0.0 |
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-
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  ### Framework versions
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  # wav2vec2-large-mms-1b-uyghur-latin
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
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+ It achieves the following best results on the evaluation set:
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+
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+ - Best Wer: 30.8949%
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+ - Best Cer: 5.9823 %
 
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Cer Ortho |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:---------:|
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+ | 0.3425 | 1.0006 | 1313 | 0.3081 | 35.3122 | 6.8424 |
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+ | 0.3218 | 2.0011 | 2626 | 0.2771 | 31.7204 | 6.1840 |
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+ | 0.3012 | 3.0017 | 3939 | 0.2739 | 30.8949 | 5.9823 |
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+ | 0.2961 | 3.9989 | 5248 | 0.2771 | 31.7116 | 6.1806 |
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  ### Framework versions
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