This model is a fine-tuned version of MBZUAI/speecht5_tts_clartts_ar on the Tunisian_dataset_STT-TTS15s_filtred1.0_Mixed dataset. It achieves the following results on the evaluation set:

Loss: 0.5743

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: 8
eval_batch_size: 8
seed: 42
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
0.57	6.67	500	0.6392
0.5333	13.33	1000	0.6088
0.5289	20.0	1500	0.5913
0.5002	26.67	2000	0.5848
0.5045	33.33	2500	0.5783
0.5325	40.0	3000	0.5803
0.5215	46.67	3500	0.5742
0.4773	53.33	4000	0.5743

Framework versions

Transformers 4.35.1
Pytorch 2.3.1+cu121
Datasets 2.14.7
Tokenizers 0.14.1

Arbi-Houssem/speecht5_ar_tn_1.6

SpeechT5 TTS Tunisien

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Arbi-Houssem/
speecht5_ar_tn_1.6