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speecht5_tts_commonvoice_en_04 – AI Model by Avitas8485 | AlphaNeural AI
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Avitas8485
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speecht5_tts_commonvoice_en_04
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transformers
pytorch
tensorboard
speecht5
text-to-audio
text-to-speech
generated_from_trainer
en
lj_speech
Avitas8485/speecht5_tts_commonvoice_en_03
finetune
mit
endpoints_compatible
us
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speecht5_tts_commonvoice_en_04
This model is a fine-tuned version of
Avitas8485/speecht5_tts_commonvoice_en_03
on the ljspeech dataset. It achieves the following results on the evaluation set:
Loss: 0.3719
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: 2
total_train_batch_size: 16
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
Training Loss
Epoch
Step
Validation Loss
0.4105
1.36
1000
0.3789
0.409
2.71
2000
0.3753
0.4076
4.07
3000
0.3735
0.4055
5.43
4000
0.3719
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3
