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whisper-small-wolof
This model is a fine-tuned version of cifope/whisper-small-wolof on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.501167
- Wer: 27.1604
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
the model was trained on 9000 examples and tested on 1500 examples
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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0071 | 5.32 | 1000 | 0.501167 | 27.1604 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
