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speecht5_tts_minds14

Text-to-Audio
Transformers
PyTorch
Dutch
speecht5
v1.0
Generated from Trainer
Model card Files
xet
 Community
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btoscano commited on
Commit
15fe201
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1 Parent(s): 05583ec

End of training

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  1. README.md +3 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # SpeechT5_TTS_MInDS_14
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the MInDS_14 dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.6075
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  ## Model description
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@@ -43,19 +41,16 @@ The following hyperparameters were used during training:
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  - train_batch_size: 4
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  - eval_batch_size: 8
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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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  - 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: 1000
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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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- | 0.6584 | 64.52 | 1000 | 0.6075 |
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  ### Framework versions
 
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  # SpeechT5_TTS_MInDS_14
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the MInDS_14 dataset.
 
 
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  ## Model description
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  - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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: 500
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
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