lithish2602
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README.md
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# speecht5_tts_ta
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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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## 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 4.46.0.dev0
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# speecht5_tts_ta
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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: 0.6216
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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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| 0.7014 | 500.0 | 1000 | 0.5671 |
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| 0.6384 | 1000.0 | 2000 | 0.6343 |
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| 0.5742 | 1500.0 | 3000 | 0.6314 |
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| 0.5597 | 2000.0 | 4000 | 0.6216 |
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### Framework versions
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- Transformers 4.46.0.dev0
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