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  1. README.md +7 -7
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@@ -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: 0.5390
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  ## Model description
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@@ -52,15 +52,15 @@ 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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- | 0.357 | 500.0 | 1000 | 0.5013 |
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- | 0.324 | 1000.0 | 2000 | 0.4800 |
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- | 0.2914 | 1500.0 | 3000 | 0.4997 |
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- | 0.283 | 2000.0 | 4000 | 0.5390 |
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  ### Framework versions
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- - Transformers 4.49.0.dev0
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  - Pytorch 2.5.1+cu124
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- - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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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: 0.6856
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.3035 | 500.0 | 1000 | 0.6257 |
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+ | 0.2769 | 1000.0 | 2000 | 0.6513 |
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+ | 0.2608 | 1500.0 | 3000 | 0.6888 |
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+ | 0.2503 | 2000.0 | 4000 | 0.6856 |
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  ### Framework versions
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+ - Transformers 4.50.0.dev0
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  - Pytorch 2.5.1+cu124
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+ - Datasets 3.0.1
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  - Tokenizers 0.21.0