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speecht5_tts_test_1 – AI Model by Konstantin0815 | AlphaNeural AI
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Konstantin0815
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speecht5_tts_test_1
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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TTS test 1
This model is a fine-tuned version of
microsoft/speecht5_tts
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.4745
eval_runtime: 1.1377
eval_samples_per_second: 37.797
eval_steps_per_second: 5.274
epoch: 216.67
step: 2600
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 80
training_steps: 4000
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
