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timjwhite
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speecht5_finetuned_voxpopuli_en

Text-to-Speech
Transformers
PyTorch
TensorBoard
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
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timjwhite commited on
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update model card README.md

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@@ -33,20 +33,20 @@ More information needed
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  ### Training hyperparameters
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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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  - 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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  - Transformers 4.30.2
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- - Pytorch 1.13.1+cu117
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
40
  - gradient_accumulation_steps: 8
41
  - 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: 4000
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  ### Framework versions
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  - Transformers 4.30.2
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+ - Pytorch 2.0.1+cu117
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3