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End of training

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  1. README.md +6 -6
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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4588
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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: 4
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- - eval_batch_size: 4
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  - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 32
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 0.5165 | 4.3034 | 1000 | 0.4787 |
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- | 0.4958 | 8.6068 | 2000 | 0.4645 |
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- | 0.4903 | 12.9102 | 3000 | 0.4591 |
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- | 0.4914 | 17.2136 | 4000 | 0.4588 |
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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 voxpopuli dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4626
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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: 4
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+ - eval_batch_size: 2
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  - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 32
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.5168 | 4.3034 | 1000 | 0.4836 |
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+ | 0.4941 | 8.6068 | 2000 | 0.4683 |
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+ | 0.4914 | 12.9102 | 3000 | 0.4647 |
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+ | 0.4919 | 17.2136 | 4000 | 0.4626 |
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  ### Framework versions