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README.md
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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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- Wer
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- Cer
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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 |
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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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### 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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- 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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| 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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