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End of training

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  1. README.md +7 -7
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@@ -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: 0.4693
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  ## Model description
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@@ -51,16 +51,16 @@ 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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- | 4.8404 | 0.1135 | 100 | 0.5389 |
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- | 4.5005 | 0.2270 | 200 | 0.5024 |
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- | 4.289 | 0.3404 | 300 | 0.4842 |
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- | 4.1373 | 0.4539 | 400 | 0.4705 |
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- | 4.1717 | 0.5674 | 500 | 0.4693 |
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  ### Framework versions
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  - Transformers 4.46.1
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- - Pytorch 2.5.1+cpu
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  - Datasets 3.2.0
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  - Tokenizers 0.20.3
 
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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: 0.4780
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.7874 | 1.8141 | 100 | 0.5481 |
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+ | 4.3639 | 3.6281 | 200 | 0.5051 |
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+ | 4.166 | 5.4422 | 300 | 0.4926 |
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+ | 4.0455 | 7.2562 | 400 | 0.4837 |
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+ | 3.9054 | 9.0703 | 500 | 0.4780 |
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  ### Framework versions
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  - Transformers 4.46.1
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+ - Pytorch 2.5.1+cu118
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  - Datasets 3.2.0
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  - Tokenizers 0.20.3