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sophiayk20/
speecht5_tts_formal_fr

Name: speecht5_tts_formal_fr
Availability: InStock

generated_from_trainer

sophiayk20/speecht5_tts_voxpopuli_fr

finetune

mit

endpoints_compatible

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speecht5_tts_formal_fr

This model is a fine-tuned version of sophiayk20/speecht5_tts_voxpopuli_fr on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3373

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
0.3995	3.5471	1000	0.3545
0.3761	7.0924	2000	0.3437
0.3742	10.6394	3000	0.3390
0.3648	14.1847	4000	0.3373

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

sophiayk20/speecht5_tts_formal_fr

speecht5_tts_formal_fr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sophiayk20/
speecht5_tts_formal_fr