---
license: mit
tags:
- generated_from_trainer
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_facebook_voxpopuli_french
  results: []
pipeline_tag: text-to-speech
---

<!-- 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_facebook_voxpopuli_french

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: 0.4378

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4873        | 1.0   | 1584  | 0.4617          |
| 0.4689        | 2.0   | 3168  | 0.4529          |
| 0.4658        | 3.0   | 4752  | 0.4516          |
| 0.4584        | 4.0   | 6336  | 0.4464          |
| 0.4608        | 5.0   | 7920  | 0.4451          |
| 0.4558        | 6.0   | 9504  | 0.4427          |
| 0.4504        | 7.0   | 11088 | 0.4426          |
| 0.4528        | 8.0   | 12672 | 0.4409          |
| 0.4515        | 9.0   | 14256 | 0.4397          |
| 0.4489        | 10.0  | 15840 | 0.4409          |
| 0.4452        | 11.0  | 17424 | 0.4393          |
| 0.4403        | 12.0  | 19008 | 0.4394          |
| 0.4419        | 13.0  | 20592 | 0.4392          |
| 0.441         | 14.0  | 22176 | 0.4378          |
| 0.4418        | 15.0  | 23760 | 0.4376          |
| 0.4373        | 16.0  | 25344 | 0.4382          |
| 0.4405        | 17.0  | 26928 | 0.4367          |
| 0.4377        | 18.0  | 28512 | 0.4374          |
| 0.4351        | 19.0  | 30096 | 0.4376          |
| 0.4371        | 20.0  | 31680 | 0.4378          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3