senga-nt-nse-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: 0.0879
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 |
|---|---|---|---|
| 0.1688 | 9.1324 | 2000 | 0.1078 |
| 0.1536 | 18.2648 | 4000 | 0.0979 |
| 0.1427 | 27.3973 | 6000 | 0.0946 |
| 0.1347 | 36.5297 | 8000 | 0.0987 |
| 0.1271 | 45.6621 | 10000 | 0.0925 |
| 0.1218 | 54.7945 | 12000 | 0.0911 |
| 0.117 | 63.9269 | 14000 | 0.0906 |
| 0.1088 | 73.0594 | 16000 | 0.0913 |
| 0.1126 | 82.1918 | 18000 | 0.0901 |
| 0.1064 | 91.3242 | 20000 | 0.0891 |
| 0.104 | 100.4566 | 22000 | 0.0898 |
| 0.0996 | 109.5890 | 24000 | 0.0898 |
| 0.0974 | 118.7215 | 26000 | 0.0888 |
| 0.0918 | 127.8539 | 28000 | 0.0886 |
| 0.0945 | 136.9863 | 30000 | 0.0883 |
| 0.0893 | 146.1187 | 32000 | 0.0891 |
| 0.0899 | 155.2511 | 34000 | 0.0885 |
| 0.0886 | 164.3836 | 36000 | 0.0879 |
| 0.0855 | 173.5160 | 38000 | 0.0886 |
| 0.0881 | 182.6484 | 40000 | 0.0879 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2