SpeechT5 TTS Kurdish - Kurmanji
This model is a fine-tuned version of microsoft/speecht5_tts on the Mozilla Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.5395
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: 16000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5187 | 27.5862 | 4000 | 0.5304 |
| 0.494 | 55.1724 | 8000 | 0.5374 |
| 0.4869 | 82.7586 | 12000 | 0.5350 |
| 0.4957 | 110.3448 | 16000 | 0.5395 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
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