senga-nt-canon-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: 0.0913
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 |
|---|---|---|---|
| 0.1643 | 9.2166 | 2000 | 0.1102 |
| 0.1597 | 18.4332 | 4000 | 0.1029 |
| 0.1417 | 27.6498 | 6000 | 0.0986 |
| 0.1333 | 36.8664 | 8000 | 0.0984 |
| 0.1254 | 46.0829 | 10000 | 0.0962 |
| 0.1244 | 55.2995 | 12000 | 0.0956 |
| 0.1183 | 64.5161 | 14000 | 0.0958 |
| 0.114 | 73.7327 | 16000 | 0.0961 |
| 0.1189 | 82.9493 | 18000 | 0.0949 |
| 0.1078 | 92.1659 | 20000 | 0.0928 |
| 0.1064 | 101.3825 | 22000 | 0.0936 |
| 0.1029 | 110.5991 | 24000 | 0.0930 |
| 0.0971 | 119.8157 | 26000 | 0.0916 |
| 0.094 | 129.0323 | 28000 | 0.0912 |
| 0.0943 | 138.2488 | 30000 | 0.0919 |
| 0.0906 | 147.4654 | 32000 | 0.0920 |
| 0.0931 | 156.6820 | 34000 | 0.0916 |
| 0.0918 | 165.8986 | 36000 | 0.0915 |
| 0.089 | 175.1152 | 38000 | 0.0915 |
| 0.0905 | 184.3318 | 40000 | 0.0913 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2