SpeechT5 TTS Turkish with openSLR
This model is a fine-tuned version of microsoft/speecht5_tts on the openSLR dataset. It achieves the following results on the evaluation set:
- Loss: 0.4350
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.497 | 51.28 | 1000 | 0.4593 |
| 0.4528 | 102.56 | 2000 | 0.4449 |
| 0.4577 | 153.85 | 3000 | 0.4401 |
| 0.4459 | 205.13 | 4000 | 0.4350 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3