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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 Commonvoice dataset.
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It achieves the following results on the evaluation set:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.6424 | 1.01 | 1000 | 0.6046 |
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| 0.6062 | 2.02 | 2000 | 0.5776 |
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| 0.5835 | 3.03 | 3000 | 0.5676 |
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| 0.5826 | 4.04 | 4000 | 0.5622 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Commonvoice dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5261
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- eval_runtime: 45.091
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- eval_samples_per_second: 22.177
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- eval_steps_per_second: 1.397
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- epoch: 8.02
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- step: 4000
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 8000
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### Framework versions
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