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Model save
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README.md
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---
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language:
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- en
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- en_accent,vocpopuli,t5
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- generated_from_trainer
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datasets:
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.36.0.dev0
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---
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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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datasets:
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- voxpopuli
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model-index:
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- name: speecht5_tts
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# speecht5_tts
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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: 0.6149
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.1961 | 1000.0 | 1000 | 0.5932 |
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| 0.1798 | 2000.0 | 2000 | 0.6086 |
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| 0.1714 | 3000.0 | 3000 | 0.6216 |
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| 0.1712 | 4000.0 | 4000 | 0.6149 |
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### Framework versions
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- Transformers 4.36.0.dev0
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model.safetensors
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