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

Loss: 0.5464

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: 2e-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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.544	14.2857	200	0.6401
0.4869	28.5714	400	0.5907
0.4384	42.8571	600	0.5684
0.4069	57.1429	800	0.5577
0.3992	71.4286	1000	0.5464

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Arbi-Houssem/speecht5_ar_tn_1.1

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_1.1