SpeechT5 TTS Tunisien
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
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