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update model card README.md

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@@ -17,7 +17,7 @@ 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 voxpopuli dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4583
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  ## Model description
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@@ -51,15 +51,15 @@ 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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- | 0.5225 | 4.3 | 1000 | 0.4780 |
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- | 0.4966 | 8.61 | 2000 | 0.4626 |
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- | 0.4922 | 12.91 | 3000 | 0.4607 |
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- | 0.4939 | 17.21 | 4000 | 0.4583 |
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  ### Framework versions
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  - Transformers 4.32.0.dev0
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- - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4597
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.522 | 4.3 | 1000 | 0.4807 |
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+ | 0.4959 | 8.61 | 2000 | 0.4666 |
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+ | 0.4947 | 12.91 | 3000 | 0.4622 |
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+ | 0.4904 | 17.21 | 4000 | 0.4597 |
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  ### Framework versions
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  - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu117
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3