This model is a fine-tuned version of 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

OmBenz/speecht5_finetuned_voxpopuli_fr

speecht5_finetuned_voxpopuli_fr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OmBenz/
speecht5_finetuned_voxpopuli_fr