SpeechT5 TTS Dutch
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4563
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5393 | 0.8584 | 200 | 0.4905 |
| 0.5405 | 1.7167 | 400 | 0.4835 |
| 0.5163 | 2.5751 | 600 | 0.4660 |
| 0.4946 | 3.4335 | 800 | 0.4597 |
| 0.4984 | 4.2918 | 1000 | 0.4563 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for uniquaAman/speecht5_tts_voxpopuli_nl
Base model
microsoft/speecht5_tts