speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5934
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.1528 | 0.0861 | 20 | 0.6471 |
| 5.6081 | 0.1721 | 40 | 0.6151 |
| 5.4319 | 0.2582 | 60 | 0.6029 |
| 5.4448 | 0.3443 | 80 | 0.5970 |
| 5.3714 | 0.4303 | 100 | 0.5934 |
Framework versions
- Transformers 5.20.2
- Pytorch 2.11.0+cpu
- Datasets 4.8.5
- Tokenizers 0.23.3