senga-nt-base-tts
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0922
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: 8
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 4000
- training_steps: 40000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.167 | 9.2171 | 2000 | 0.1054 |
| 0.1562 | 18.4342 | 4000 | 0.1017 |
| 0.1412 | 27.6513 | 6000 | 0.0983 |
| 0.1313 | 36.8684 | 8000 | 0.0980 |
| 0.1274 | 46.0831 | 10000 | 0.0969 |
| 0.1176 | 55.3002 | 12000 | 0.0950 |
| 0.1199 | 64.5173 | 14000 | 0.0955 |
| 0.1113 | 73.7344 | 16000 | 0.0943 |
| 0.1137 | 82.9515 | 18000 | 0.0942 |
| 0.1051 | 92.1663 | 20000 | 0.0927 |
| 0.1026 | 101.3834 | 22000 | 0.0938 |
| 0.1007 | 110.6005 | 24000 | 0.0920 |
| 0.0987 | 119.8176 | 26000 | 0.0917 |
| 0.0932 | 129.0323 | 28000 | 0.0929 |
| 0.0934 | 138.2494 | 30000 | 0.0922 |
| 0.0901 | 147.4665 | 32000 | 0.0916 |
| 0.0939 | 156.6836 | 34000 | 0.0923 |
| 0.0891 | 165.9007 | 36000 | 0.0915 |
| 0.0914 | 175.1155 | 38000 | 0.0916 |
| 0.0899 | 184.3326 | 40000 | 0.0922 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2