speecht5_finetuned_voxpopuli_fr

HadrienCr/speecht5_finetuned_voxpopuli_fr

speecht5_finetuned_voxpopuli_fr is a text-to-audio model from HadrienCr. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text-to-Audio
Library: transformers
License: mit
Model type: speecht5
Access: Public
Created: Jul 19, 2024
Updated: Jul 19, 2024
SHA: 32cd5198

Base models

microsoft/speecht5_tts

Datasets

voxpopuli

Model card

From the Hugging Face model README

speecht5_finetuned_voxpopuli_fr

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

Loss: 0.4922

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5562	5.3763	1000	0.5164
0.532	10.7527	2000	0.4982
0.5235	16.1290	3000	0.4945
0.5285	21.5054	4000	0.4922

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text-to-Audio
Library: transformers
Type: speecht5
License: mit
Created: Jul 19, 2024
Updated: Jul 19, 2024