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neunit_BASE_V5.2 – AI Model by SHENMU007 | AlphaNeural AI
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neunit_BASE_V5.2
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transformers
pytorch
tensorboard
speecht5
text-to-audio
1.1.0
generated_from_trainer
zh
facebook/voxpopuli
mit
endpoints_compatible
us
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SpeechT5 TTS Dutch neunit
This model is a fine-tuned version of
microsoft/speecht5_tts
on the VoxPopuli dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.29.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.12.1
