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End of training

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@@ -19,7 +19,7 @@ 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: 0.4565
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  ## Model description
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@@ -53,15 +53,15 @@ 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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- | 0.5202 | 4.3 | 1000 | 0.4764 |
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- | 0.5008 | 8.6 | 2000 | 0.4641 |
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- | 0.4978 | 12.9 | 3000 | 0.4582 |
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- | 0.4937 | 17.2 | 4000 | 0.4565 |
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  ### Framework versions
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  - Transformers 4.34.0.dev0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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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: 0.4441
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5058 | 4.32 | 1000 | 0.4640 |
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+ | 0.4873 | 8.64 | 2000 | 0.4512 |
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+ | 0.4917 | 12.96 | 3000 | 0.4465 |
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+ | 0.4845 | 17.28 | 4000 | 0.4441 |
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  ### Framework versions
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  - Transformers 4.34.0.dev0
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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  - Tokenizers 0.13.3