SpeechT5-TTS with IPA v3 for Thai
This model is a fine-tuned version of microsoft/speecht5_tts on the Processed Thai Speech Data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4533
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: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5184 | 1.0 | 3935 | 0.4867 |
| 0.4998 | 2.0 | 7870 | 0.4710 |
| 0.4895 | 3.0 | 11805 | 0.4635 |
| 0.4869 | 4.0 | 15740 | 0.4553 |
| 0.4764 | 5.0 | 19675 | 0.4533 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
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Model tree for ThuraAung1601/speecht5_for_thai_with_ipa_tts_v3
Base model
microsoft/speecht5_tts