speecht5_finetuned_voxpopuli_fi
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli/fi dataset. It achieves the following results on the evaluation set:
- Loss: 0.4433
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: 1e-05
- train_batch_size: 10
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5561 | 0.9107 | 500 | 0.4943 |
| 0.5229 | 1.8215 | 1000 | 0.4739 |
| 0.5055 | 2.7322 | 1500 | 0.4629 |
| 0.5021 | 3.6430 | 2000 | 0.4598 |
| 0.4925 | 4.5537 | 2500 | 0.4547 |
| 0.4875 | 5.4645 | 3000 | 0.4523 |
| 0.4797 | 6.3752 | 3500 | 0.4509 |
| 0.4778 | 7.2860 | 4000 | 0.4488 |
| 0.4732 | 8.1967 | 4500 | 0.4477 |
| 0.4759 | 9.1075 | 5000 | 0.4466 |
| 0.4908 | 10.0182 | 5500 | 0.4448 |
| 0.4817 | 10.9290 | 6000 | 0.4442 |
| 0.4784 | 11.8397 | 6500 | 0.4443 |
| 0.4775 | 12.7505 | 7000 | 0.4437 |
| 0.4717 | 13.6612 | 7500 | 0.4436 |
| 0.4744 | 14.5719 | 8000 | 0.4433 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
microsoft/speecht5_tts