---
library_name: transformers
base_model: speecht5_tts
tags:
- text-to-speech
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_tts-finetuned-voxpopuli_nl
  results: []
---

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# speecht5_tts-finetuned-voxpopuli_nl

This model is a fine-tuned version of [speecht5_tts](https://huggingface.co/speecht5_tts) on the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4905

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.536         | 8.6220 | 500  | 0.4905          |


### Framework versions

- Transformers 4.52.0
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4