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End of training

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@@ -16,6 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # speecht5_finetuned_fleurs_ptbr
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the google/fleurs dataset.
 
 
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  ## Model description
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@@ -42,8 +44,15 @@ The following hyperparameters were used during training:
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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: 4000
 
 
 
 
 
 
 
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  ### Framework versions
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  # speecht5_finetuned_fleurs_ptbr
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the google/fleurs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4693
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  ## Model description
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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: 50
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+ - training_steps: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.528 | 1.27 | 100 | 0.4693 |
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+
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  ### Framework versions
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