End of training
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README.md
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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- text-to-speech
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datasets:
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- voxpopuli
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model-index:
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- name: speecht5_finetuned_voxpopuli_nl
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results: []
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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.
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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.
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| 0.
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| 0.
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- text-to-speech
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- Dutch
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- generated_from_trainer
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datasets:
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- facebook/voxpopuli
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model-index:
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- name: speecht5_finetuned_voxpopuli_nl
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results: []
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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: 0.4641
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5214 | 2.15 | 1000 | 0.4842 |
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| 0.5094 | 4.3 | 2000 | 0.4713 |
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| 0.4973 | 6.45 | 3000 | 0.4649 |
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| 0.5031 | 8.6 | 4000 | 0.4641 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.14.4
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+
- Tokenizers 0.13.3
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