whisper-small-sw-bible
This model is a fine-tuned version of Lingua-Connect/whisper-small-sw-bible on the kazeric/Giriama_bible_dataset_no_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.0840
- Wer Ortho: 7.3686
- Wer: 3.9888
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: 32
- seed: 42
- optimizer: Use OptimizerNames.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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0901 | 0.1397 | 50 | 0.0806 | 6.8887 | 3.7690 |
| 0.0954 | 0.2793 | 100 | 0.0830 | 7.2674 | 4.0340 |
| 0.0895 | 0.4190 | 150 | 0.0840 | 7.3686 | 3.9888 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1