whisper-small-ha-bible-tts
This model is a fine-tuned version of MKAlbani/whisper-small-ha on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2251
- Wer: 0.1387
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: 16
- eval_batch_size: 16
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2242 | 0.1989 | 500 | 0.2827 | 0.1751 |
| 0.1749 | 0.3978 | 1000 | 0.2251 | 0.1387 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3