---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_fr
  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_finetuned_voxpopuli_fr

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the French part of facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4644

It was trained on only a small fraction of the original dataset !

## 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5567        | 1.49  | 500  | 0.5125          |
| 0.5272        | 2.99  | 1000 | 0.4876          |
| 0.516         | 4.48  | 1500 | 0.4767          |
| 0.5066        | 5.98  | 2000 | 0.4709          |
| 0.5072        | 7.47  | 2500 | 0.4669          |
| 0.4994        | 8.97  | 3000 | 0.4644          |
| 0.4964        | 10.46 | 3500 | 0.4652          |
| 0.4999        | 11.96 | 4000 | 0.4644          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0