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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: 0.4650
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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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- | 0.6131 | 1.8476 | 100 | 0.5543 |
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- | 0.5611 | 3.6952 | 200 | 0.5054 |
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- | 0.5362 | 5.5427 | 300 | 0.4950 |
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- | 0.5222 | 7.3903 | 400 | 0.4837 |
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- | 0.5067 | 9.2379 | 500 | 0.4770 |
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- | 0.5028 | 11.0855 | 600 | 0.4733 |
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- | 0.4926 | 12.9330 | 700 | 0.4685 |
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- | 0.4833 | 14.7806 | 800 | 0.4640 |
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- | 0.4776 | 16.6282 | 900 | 0.4606 |
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- | 0.4769 | 18.4758 | 1000 | 0.4582 |
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- | 0.4715 | 20.3233 | 1100 | 0.4651 |
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- | 0.462 | 22.1709 | 1200 | 0.4612 |
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- | 0.4579 | 24.0185 | 1300 | 0.4616 |
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- | 0.455 | 25.8661 | 1400 | 0.4585 |
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- | 0.4551 | 27.7136 | 1500 | 0.4646 |
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- | 0.4516 | 29.5612 | 1600 | 0.4644 |
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- | 0.4471 | 31.4088 | 1700 | 0.4636 |
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- | 0.4427 | 33.2564 | 1800 | 0.4645 |
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- | 0.4494 | 35.1039 | 1900 | 0.4653 |
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- | 0.4357 | 36.9515 | 2000 | 0.4650 |
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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: 0.6525
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.6188 | 1.6598 | 100 | 0.6391 |
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+ | 0.5578 | 3.3195 | 200 | 0.6273 |
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+ | 0.5346 | 4.9793 | 300 | 0.6454 |
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+ | 0.5193 | 6.6390 | 400 | 0.6131 |
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+ | 0.5011 | 8.2988 | 500 | 0.6113 |
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+ | 0.5069 | 9.9585 | 600 | 0.6259 |
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+ | 0.495 | 11.6183 | 700 | 0.6292 |
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+ | 0.4835 | 13.2780 | 800 | 0.6238 |
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+ | 0.4795 | 14.9378 | 900 | 0.6300 |
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+ | 0.4747 | 16.5975 | 1000 | 0.6222 |
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+ | 0.4746 | 18.2573 | 1100 | 0.6387 |
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+ | 0.4683 | 19.9170 | 1200 | 0.6220 |
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+ | 0.4591 | 21.5768 | 1300 | 0.6474 |
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+ | 0.4593 | 23.2365 | 1400 | 0.6548 |
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+ | 0.4567 | 24.8963 | 1500 | 0.6322 |
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+ | 0.4529 | 26.5560 | 1600 | 0.6476 |
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+ | 0.4495 | 28.2158 | 1700 | 0.6517 |
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+ | 0.4477 | 29.8755 | 1800 | 0.6397 |
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+ | 0.442 | 31.5353 | 1900 | 0.6557 |
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+ | 0.4412 | 33.1950 | 2000 | 0.6525 |
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  ### Framework versions
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