speecht5_finetuned_voxpopuli_nl
This model was trained from scratch on the voxpopuli dataset.
It achieves the following results on the evaluation set:
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.5048 | 1.33 | 1000 | 0.4601 |
| 0.4845 | 2.66 | 2000 | 0.4519 |
| 0.483 | 3.99 | 3000 | 0.4478 |
| 0.4806 | 5.33 | 4000 | 0.4471 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.2
