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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4667
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  ## Model description
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@@ -53,26 +53,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 0.6236 | 1.8476 | 100 | 0.5467 |
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- | 0.5606 | 3.6952 | 200 | 0.5343 |
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- | 0.537 | 5.5427 | 300 | 0.4949 |
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- | 0.5195 | 7.3903 | 400 | 0.4839 |
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- | 0.511 | 9.2379 | 500 | 0.4760 |
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- | 0.5044 | 11.0855 | 600 | 0.4693 |
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- | 0.4944 | 12.9330 | 700 | 0.4693 |
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- | 0.4912 | 14.7806 | 800 | 0.4843 |
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- | 0.4792 | 16.6282 | 900 | 0.4737 |
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- | 0.4742 | 18.4758 | 1000 | 0.4659 |
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- | 0.4727 | 20.3233 | 1100 | 0.4659 |
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- | 0.4584 | 22.1709 | 1200 | 0.4637 |
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- | 0.4604 | 24.0185 | 1300 | 0.4618 |
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- | 0.4556 | 25.8661 | 1400 | 0.4637 |
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- | 0.4549 | 27.7136 | 1500 | 0.4606 |
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- | 0.4514 | 29.5612 | 1600 | 0.4629 |
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- | 0.4476 | 31.4088 | 1700 | 0.4611 |
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- | 0.4426 | 33.2564 | 1800 | 0.4636 |
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- | 0.4472 | 35.1039 | 1900 | 0.4680 |
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- | 0.4353 | 36.9515 | 2000 | 0.4667 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4703
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.6092 | 1.8476 | 100 | 0.5552 |
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+ | 0.5638 | 3.6952 | 200 | 0.5097 |
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+ | 0.5384 | 5.5427 | 300 | 0.5010 |
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+ | 0.527 | 7.3903 | 400 | 0.4850 |
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+ | 0.5157 | 9.2379 | 500 | 0.4830 |
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+ | 0.5061 | 11.0855 | 600 | 0.4727 |
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+ | 0.4955 | 12.9330 | 700 | 0.4773 |
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+ | 0.4855 | 14.7806 | 800 | 0.4692 |
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+ | 0.4801 | 16.6282 | 900 | 0.4651 |
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+ | 0.4793 | 18.4758 | 1000 | 0.4623 |
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+ | 0.4753 | 20.3233 | 1100 | 0.4708 |
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+ | 0.4606 | 22.1709 | 1200 | 0.4668 |
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+ | 0.4595 | 24.0185 | 1300 | 0.4622 |
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+ | 0.4558 | 25.8661 | 1400 | 0.4628 |
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+ | 0.4581 | 27.7136 | 1500 | 0.4628 |
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+ | 0.4532 | 29.5612 | 1600 | 0.4665 |
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+ | 0.4487 | 31.4088 | 1700 | 0.4652 |
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+ | 0.4416 | 33.2564 | 1800 | 0.4661 |
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+ | 0.4475 | 35.1039 | 1900 | 0.4677 |
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+ | 0.4375 | 36.9515 | 2000 | 0.4703 |
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  ### Framework versions
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