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

Loss: 0.4883

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
0.5165	34.48	1000	0.4983
0.505	68.97	2000	0.4893
0.4996	103.45	3000	0.4876
0.4968	137.93	4000	0.4883

Framework versions

Transformers 4.35.1
Pytorch 2.3.1+cu121
Datasets 2.14.7
Tokenizers 0.14.1

Arbi-Houssem/speecht5_ar_tn_1.8

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_1.8