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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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