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---
language:
- vi
tags:
- text-to-speech
- vivos
datasets:
- vivos
model-index:
- name: SpeechT5 TTS Vietnamese
results: []
pipeline-tag:
- text-to-speech
widget:
- text: "Đây được xem là truyện thơ nổi tiếng nhất và xét vào hàng kinh điển trong văn học Việt Nam."
---
<!-- 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 [speechT5](https://huggingface.co/docs/transformers/main/en/model_doc/speecht5) on the [vivos](https://huggingface.co/vivos) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4314
## 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: 500
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4969 | 2.81 | 1000 | 0.4549 |
| 0.4933 | 5.63 | 2000 | 0.4433 |
| 0.4713 | 8.44 | 3000 | 0.4316 |
| 0.4733 | 11.25 | 4000 | 0.4314 |
### Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3 |