SpeechT5-TTS with IPA small data v5 including _ for Thai
This model is a fine-tuned version of microsoft/speecht5_tts on the Edited Thai Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4499
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 0.5578 | 1.0 | 2066 | 0.4980 |
| 0.5252 | 2.0 | 4132 | 0.4766 |
| 0.5233 | 3.0 | 6198 | 0.4589 |
| 0.4875 | 4.0 | 8264 | 0.4543 |
| 0.4875 | 4.9978 | 10325 | 0.4499 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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Model tree for ThuraAung1601/speecht5_for_thai_with_ipa_tts_v5
Base model
microsoft/speecht5_tts