speecht5_finetuned_voxpopuli_fr

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