Whisper Small Wolof
This model is a fine-tuned version of openai/whisper-small on the serge-wilson/wolof-transcription dataset. It achieves the following results on the evaluation set:
- Loss: 0.1692
- Wer: 15.3788
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: 8
- seed: 42
- 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 | Wer |
|---|---|---|---|---|
| 0.4244 | 1.14 | 1000 | 0.3268 | 28.2959 |
| 0.1663 | 2.29 | 2000 | 0.2148 | 20.7080 |
| 0.0787 | 3.43 | 3000 | 0.1761 | 15.8736 |
| 0.0355 | 4.57 | 4000 | 0.1692 | 15.3788 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3