README.md

metadata

language:
  - vi
base_model: truong-xuan-linh/speecht5-multilingual-voiceclone-speechbrain
tags:
  - generated_from_trainer
datasets:
  - vivos
model-index:
  - name: SpeechT5 TTS Vietnamese
    results: []
pipeline_tag: text-to-speech

SpeechT5 TTS Vietnamese

This model is a fine-tuned version of truong-xuan-linh/speecht5-multilingual-voiceclone-speechbrain on the vivos dataset. It achieves the following results on the evaluation set:

• Loss: 0.3724

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: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4272	1.5244	500	0.3835
0.408	3.0488	1000	0.3724

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1