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speecht5_finetuned_voiceclone – AI Model by priyanshu594 | AlphaNeural AI
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speecht5_finetuned_voiceclone
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voiceclone
This model is a fine-tuned version of
microsoft/speecht5_tts
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4272
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
training_steps: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3369
2.5714
10
0.4594
0.2954
5.0
20
0.4272
Framework versions
Transformers 4.48.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
