SpeechT5 TTS Tunisie
This model is a fine-tuned version of microsoft/speecht5_tts on the datasetSTT-TTS dataset. It achieves the following results on the evaluation set:
- Loss: 0.9733
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: 1
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.4167 | 10 | 0.9837 |
| No log | 0.8333 | 20 | 0.9733 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Arbi-Houssem/speecht5_ar_tn_1.0
Base model
microsoft/speecht5_tts