---
license: mit
base_model: microsoft/speecht5_tts
tags:
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_sl
  results: []
---

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# speecht5_finetuned_voxpopuli_sl

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: 0.5157

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5152        | 91.95  | 500  | 0.5177          |
| 0.4734        | 183.91 | 1000 | 0.5199          |
| 0.4555        | 275.86 | 1500 | 0.5129          |
| 0.4464        | 367.82 | 2000 | 0.5133          |
| 0.437         | 459.77 | 2500 | 0.5097          |
| 0.4342        | 551.72 | 3000 | 0.5152          |
| 0.426         | 643.68 | 3500 | 0.5153          |
| 0.426         | 735.63 | 4000 | 0.5157          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3