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---
language:
- pt
license: mit
base_model: microsoft/speecht5_tts
tags:
- tts
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: SpeechT5 TTS Portuguese
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. -->
# SpeechT5 TTS Portuguese
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the MultilingualLibrispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3452
## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4091 | 1.68 | 1000 | 0.3728 |
| 0.3906 | 3.35 | 2000 | 0.3598 |
| 0.3899 | 5.03 | 3000 | 0.3543 |
| 0.3842 | 6.71 | 4000 | 0.3518 |
| 0.376 | 8.38 | 5000 | 0.3492 |
| 0.3745 | 10.06 | 6000 | 0.3474 |
| 0.3773 | 11.74 | 7000 | 0.3473 |
| 0.3774 | 13.41 | 8000 | 0.3461 |
| 0.3719 | 15.09 | 9000 | 0.3454 |
| 0.3712 | 16.76 | 10000 | 0.3452 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|