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woodwardmw
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phase2

Text-to-Audio
Transformers
Safetensors
speecht5
Generated from Trainer
Model card Files
xet
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End of training

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  1. README.md +21 -21
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4734
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  ## Model description
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@@ -51,26 +51,26 @@ 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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- | 0.6061 | 10.6434 | 1000 | 0.5449 |
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- | 0.4903 | 21.2788 | 2000 | 0.4795 |
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- | 0.4826 | 31.9223 | 3000 | 0.4697 |
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- | 0.4569 | 42.5576 | 4000 | 0.4636 |
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- | 0.4484 | 53.1930 | 5000 | 0.4572 |
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- | 0.4921 | 63.8365 | 6000 | 0.4577 |
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- | 0.4246 | 74.4718 | 7000 | 0.4638 |
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- | 0.4442 | 85.1072 | 8000 | 0.4622 |
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- | 0.4053 | 95.7507 | 9000 | 0.4600 |
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- | 0.4169 | 106.3861 | 10000 | 0.4627 |
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- | 0.4058 | 117.0214 | 11000 | 0.4613 |
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- | 0.4005 | 127.6649 | 12000 | 0.4642 |
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- | 0.4543 | 138.3003 | 13000 | 0.4724 |
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- | 0.3988 | 148.9437 | 14000 | 0.4685 |
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- | 0.3948 | 159.5791 | 15000 | 0.4674 |
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- | 0.3809 | 170.2145 | 16000 | 0.4705 |
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- | 0.4224 | 180.8579 | 17000 | 0.4721 |
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- | 0.394 | 191.4933 | 18000 | 0.4714 |
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- | 0.3685 | 202.1287 | 19000 | 0.4733 |
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- | 0.3908 | 212.7721 | 20000 | 0.4734 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4742
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:--------:|:-----:|:---------------:|
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+ | 0.6082 | 10.6434 | 1000 | 0.5512 |
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+ | 0.4894 | 21.2788 | 2000 | 0.4854 |
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+ | 0.4848 | 31.9223 | 3000 | 0.4715 |
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+ | 0.4699 | 42.5576 | 4000 | 0.4692 |
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+ | 0.4505 | 53.1930 | 5000 | 0.4660 |
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+ | 0.4833 | 63.8365 | 6000 | 0.4602 |
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+ | 0.4277 | 74.4718 | 7000 | 0.4590 |
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+ | 0.4456 | 85.1072 | 8000 | 0.4689 |
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+ | 0.4086 | 95.7507 | 9000 | 0.4614 |
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+ | 0.4132 | 106.3861 | 10000 | 0.4654 |
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+ | 0.4083 | 117.0214 | 11000 | 0.4689 |
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+ | 0.4009 | 127.6649 | 12000 | 0.4672 |
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+ | 0.4556 | 138.3003 | 13000 | 0.4718 |
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+ | 0.3999 | 148.9437 | 14000 | 0.4684 |
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+ | 0.3988 | 159.5791 | 15000 | 0.4694 |
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+ | 0.3786 | 170.2145 | 16000 | 0.4711 |
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+ | 0.4181 | 180.8579 | 17000 | 0.4744 |
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+ | 0.3893 | 191.4933 | 18000 | 0.4747 |
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+ | 0.3694 | 202.1287 | 19000 | 0.4734 |
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+ | 0.3885 | 212.7721 | 20000 | 0.4742 |
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  ### Framework versions
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