---
language:
- vie
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: Fine-tuned SpeechT5 on Vietnamese TTS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fine-tuned SpeechT5 on Vietnamese TTS

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the generator dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5410
- eval_runtime: 292.5007
- eval_samples_per_second: 42.496
- eval_steps_per_second: 2.656
- epoch: 8.2736
- step: 15000

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12000
- training_steps: 100000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1