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uzbek-tts-model – AI Model by AbrorBalxiyev | AlphaNeural AI
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AbrorBalxiyev
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uzbek-tts-model
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
audiofolder
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of
microsoft/speecht5_tts
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.4426
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 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
0.4604
27.7832
1000
0.4288
0.4239
55.5594
2000
0.4256
0.4101
83.3357
3000
0.4315
0.4051
111.1119
4000
0.4426
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
