senga-nt-fused-v3-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: 0.0904
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 |
|---|---|---|---|
| 0.1649 | 9.2173 | 2000 | 0.1052 |
| 0.1553 | 18.4347 | 4000 | 0.1013 |
| 0.1389 | 27.6520 | 6000 | 0.0997 |
| 0.1356 | 36.8694 | 8000 | 0.0967 |
| 0.1275 | 46.0832 | 10000 | 0.0954 |
| 0.1208 | 55.3006 | 12000 | 0.0950 |
| 0.1199 | 64.5179 | 14000 | 0.0934 |
| 0.1138 | 73.7353 | 16000 | 0.0943 |
| 0.1171 | 82.9526 | 18000 | 0.0933 |
| 0.1065 | 92.1665 | 20000 | 0.0924 |
| 0.1018 | 101.3838 | 22000 | 0.0927 |
| 0.0986 | 110.6012 | 24000 | 0.0916 |
| 0.1006 | 119.8185 | 26000 | 0.0912 |
| 0.0968 | 129.0324 | 28000 | 0.0914 |
| 0.0939 | 138.2497 | 30000 | 0.0908 |
| 0.0941 | 147.4671 | 32000 | 0.0904 |
| 0.0911 | 156.6844 | 34000 | 0.0911 |
| 0.0913 | 165.9017 | 36000 | 0.0905 |
| 0.0926 | 175.1156 | 38000 | 0.0905 |
| 0.0916 | 184.3329 | 40000 | 0.0904 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2