---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# SpeechT5 TTS Vietnamese

This model is a fine-tuned version of [truong-xuan-linh/speecht5-multilingual-voiceclone-speechbrain](https://huggingface.co/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