Speecht5 TTS Sudanese Arabic
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
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Model tree for bashiralsuty/speecht5_tts_clartts_sudan_ar
Base model
MBZUAI/speecht5_tts_clartts_ar