senga-LUK-20k-msmel-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: 0.2399
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 |
|---|---|---|---|
| 0.2493 | 90.9091 | 1000 | 0.2230 |
| 0.2324 | 181.8182 | 2000 | 0.2257 |
| 0.2112 | 272.7273 | 3000 | 0.2211 |
| 0.2 | 363.6364 | 4000 | 0.2233 |
| 0.1953 | 454.5455 | 5000 | 0.2264 |
| 0.1886 | 545.4545 | 6000 | 0.2302 |
| 0.1809 | 636.3636 | 7000 | 0.2319 |
| 0.1715 | 727.2727 | 8000 | 0.2336 |
| 0.1751 | 818.1818 | 9000 | 0.2344 |
| 0.1669 | 909.0909 | 10000 | 0.2394 |
| 0.1608 | 1000.0 | 11000 | 0.2366 |
| 0.1643 | 1090.9091 | 12000 | 0.2348 |
| 0.1555 | 1181.8182 | 13000 | 0.2390 |
| 0.156 | 1272.7273 | 14000 | 0.2387 |
| 0.1505 | 1363.6364 | 15000 | 0.2435 |
| 0.1528 | 1454.5455 | 16000 | 0.2381 |
| 0.1504 | 1545.4545 | 17000 | 0.2355 |
| 0.1611 | 1636.3636 | 18000 | 0.2426 |
| 0.1506 | 1727.2727 | 19000 | 0.2408 |
| 0.154 | 1818.1818 | 20000 | 0.2399 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2