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README.md
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the single_speaker_en_test_librivox dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 98.0533
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- eval_samples_per_second: 50.962
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- eval_steps_per_second: 25.486
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- epoch: 1.78
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- step: 5000
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## Model description
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.31.0.dev0
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the single_speaker_en_test_librivox dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5817
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## Model description
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.8228 | 0.59 | 1000 | 0.7680 |
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| 0.74 | 1.19 | 2000 | 0.6693 |
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| 0.6854 | 1.78 | 3000 | 0.6155 |
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| 0.6794 | 2.37 | 4000 | 0.5908 |
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| 0.658 | 2.97 | 5000 | 0.5817 |
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### Framework versions
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- Transformers 4.31.0.dev0
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