---
language:
- ml
license: mit
tags:
- text-to-speech
- generated_from_trainer
datasets:
- mozilla/commonvoice
model-index:
- name: SpeechT5 TTS nl
  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 English

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the commonvoice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4418625831604004

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5189        | 1.09 | 1000 | 0.47117307782173157          |
| 0.4989        | 2.2 | 2000 | 0.45266708731651306          |
| 0.4905        | 3.34 | 3000 | 0.4461110234260559          |
| 0.4844        | 4.46 | 4000 | 0.4418625831604004          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3