This model is a fine-tuned version of MBZUAI/speecht5_tts_clartts_ar on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.6477

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: 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
0.9355	1.45	1000	0.8428
0.7083	2.9	2000	0.6772
0.6844	4.36	3000	0.6527
0.6732	5.81	4000	0.6477

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

shahdaboelkassem/ZiadTTS

ZiadTTS

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

shahdaboelkassem/
ZiadTTS