senga-LUK-20k-nodegate-speecht5
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: 0.2060
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: 2000
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2064 | 90.9091 | 1000 | 0.2125 |
| 0.1512 | 181.8182 | 2000 | 0.1874 |
| 0.1226 | 272.7273 | 3000 | 0.1677 |
| 0.1094 | 363.6364 | 4000 | 0.1826 |
| 0.0985 | 454.5455 | 5000 | 0.1938 |
| 0.0944 | 545.4545 | 6000 | 0.1773 |
| 0.0861 | 636.3636 | 7000 | 0.1857 |
| 0.0777 | 727.2727 | 8000 | 0.1889 |
| 0.0832 | 818.1818 | 9000 | 0.2049 |
| 0.0738 | 909.0909 | 10000 | 0.1930 |
| 0.0651 | 1000.0 | 11000 | 0.1955 |
| 0.0679 | 1090.9091 | 12000 | 0.1939 |
| 0.0619 | 1181.8182 | 13000 | 0.1964 |
| 0.0632 | 1272.7273 | 14000 | 0.2025 |
| 0.0568 | 1363.6364 | 15000 | 0.2065 |
| 0.0587 | 1454.5455 | 16000 | 0.2050 |
| 0.056 | 1545.4545 | 17000 | 0.2086 |
| 0.0709 | 1636.3636 | 18000 | 0.2143 |
| 0.0573 | 1727.2727 | 19000 | 0.2085 |
| 0.0589 | 1818.1818 | 20000 | 0.2060 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2