---
pipeline_tag: text-to-speech
---

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# speecht5_tts-finetuned-voxpopuli-en

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4689

## 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: 100
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5015        | 2.8   | 500  | 0.4735          |
| 0.4955        | 5.6   | 1000 | 0.4709          |
| 0.4954        | 8.4   | 1500 | 0.4694          |
| 0.4893        | 11.2  | 2000 | 0.4689          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3