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speecht5_finetuned_voxpopuli_es – AI Model by nagorebravo | AlphaNeural AI
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speecht5_finetuned_voxpopuli_es
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
text-to-speech
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_es
This model is a fine-tuned version of
microsoft/speecht5_tts
on voxpopuli spanish dataset. It achieves the following results on the evaluation set:
Loss: 0.4810
Model description
SpeechT5
Intended uses & limitations
Text-to-speech
Training and evaluation data
qmeeus/voxpopuli (Spanish)
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 100
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.7176
1.063
250
0.5425
4.3640
2.126
500
0.4921
4.3475
4.002
750
0.4836
4.2815
5.065
1000
0.4810
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
