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

Loss: 1.0462

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
0.5169	333.3333	1000	0.8784
0.4347	666.6667	2000	0.9882
0.3989	1000.0	3000	1.0438
0.3888	1333.3333	4000	1.0462

Framework versions

Transformers 4.48.0
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.21.4

bashiralsuty/speecht5_tts_clartts_sudan_ar

Speecht5 TTS Sudanese Arabic

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bashiralsuty/
speecht5_tts_clartts_sudan_ar