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speecht5_finetuned_vctk – AI Model by dzur658 | AlphaNeural AI
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dzur658
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speecht5_finetuned_vctk
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
jspaulsen/vctk
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_vctk
This model is a fine-tuned version of
microsoft/speecht5_tts
on the jspaulsen/vctk dataset. It achieves the following results on the evaluation set:
Loss: 0.4473
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5078
3.5476
1000
0.4718
0.4843
7.0924
2000
0.4541
0.4769
10.64
3000
0.4494
0.4746
14.1849
4000
0.4473
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
