SpeechT5 TTS Tunisien
This model is a fine-tuned version of MBZUAI/speecht5_tts_clartts_ar on the Tunisian_dataset_STT-TTS15s_filtred1.0_Mixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.4610
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: 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6355 | 6.6667 | 500 | 0.5657 |
| 0.5548 | 13.3333 | 1000 | 0.5314 |
| 0.539 | 20.0 | 1500 | 0.5286 |
| 0.5475 | 26.6667 | 2000 | 0.5220 |
| 0.5031 | 33.3333 | 2500 | 0.5193 |
| 0.5077 | 40.0 | 3000 | 0.5174 |
| 0.4724 | 46.6667 | 3500 | 0.4577 |
| 0.54 | 53.3333 | 4000 | 0.4610 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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