TTS Models
Collection
TTS models fine tuned by me
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6 items
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Updated
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SpeechT5-tuned-bn
This model is a fine-tuned version of microsoft/speecht5_tts on the train-bn dataset. It achieves the following results on the evaluation set:
- Loss: 0.5572
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 100
- training_steps: 1700
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7601 | 0.1779 | 100 | 0.6865 |
| 0.7091 | 0.3559 | 200 | 0.6498 |
| 0.6819 | 0.5338 | 300 | 0.6345 |
| 0.6561 | 0.7117 | 400 | 0.6350 |
| 0.6353 | 0.8897 | 500 | 0.6044 |
| 0.6393 | 1.0676 | 600 | 0.5887 |
| 0.6402 | 1.2456 | 700 | 0.5906 |
| 0.6194 | 1.4235 | 800 | 0.5867 |
| 0.6127 | 1.6014 | 900 | 0.5788 |
| 0.608 | 1.7794 | 1000 | 0.5765 |
| 0.6129 | 1.9573 | 1100 | 0.5738 |
| 0.6044 | 2.1352 | 1200 | 0.5680 |
| 0.5894 | 2.3132 | 1300 | 0.5655 |
| 0.5952 | 2.4911 | 1400 | 0.5648 |
| 0.5963 | 2.6690 | 1500 | 0.5572 |
| 0.5889 | 2.8470 | 1600 | 0.5614 |
| 0.5897 | 3.0249 | 1700 | 0.5572 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
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Base model
microsoft/speecht5_tts