senga-LUK-20k-l1-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: 0.1543
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 |
|---|---|---|---|
| 0.1457 | 90.9091 | 1000 | 0.1290 |
| 0.1273 | 181.8182 | 2000 | 0.1296 |
| 0.1134 | 272.7273 | 3000 | 0.1334 |
| 0.1069 | 363.6364 | 4000 | 0.1320 |
| 0.1018 | 454.5455 | 5000 | 0.1401 |
| 0.0972 | 545.4545 | 6000 | 0.1381 |
| 0.0926 | 636.3636 | 7000 | 0.1432 |
| 0.0891 | 727.2727 | 8000 | 0.1485 |
| 0.0884 | 818.1818 | 9000 | 0.1464 |
| 0.0837 | 909.0909 | 10000 | 0.1501 |
| 0.0817 | 1000.0 | 11000 | 0.1501 |
| 0.0837 | 1090.9091 | 12000 | 0.1509 |
| 0.0789 | 1181.8182 | 13000 | 0.1548 |
| 0.08 | 1272.7273 | 14000 | 0.1534 |
| 0.0767 | 1363.6364 | 15000 | 0.1551 |
| 0.0785 | 1454.5455 | 16000 | 0.1559 |
| 0.0775 | 1545.4545 | 17000 | 0.1542 |
| 0.0838 | 1636.3636 | 18000 | 0.1572 |
| 0.0777 | 1727.2727 | 19000 | 0.1557 |
| 0.0802 | 1818.1818 | 20000 | 0.1543 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.2