SpeechT5 TTS Arabic
This model is a fine-tuned version of microsoft/speecht5_tts on the Hakawati dataset. It achieves the following results on the evaluation set:
- Loss: 0.9129
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 |
|---|---|---|---|
| 0.8799 | 105.26 | 1000 | 0.9030 |
| 0.7797 | 210.53 | 2000 | 0.9112 |
| 0.752 | 315.79 | 3000 | 0.9089 |
| 0.7475 | 421.05 | 4000 | 0.9129 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Reyouf/speecht5_tts_Arabic
Base model
microsoft/speecht5_tts