Whisper Small english - Nigerian accent
This model is a fine-tuned version of openai/whisper-small on the Nigerian accented english dataset. It achieves the following results on the evaluation set:
- Loss: 1.3324
- Wer: 48.8060
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3217 | 4.6948 | 1000 | 0.8267 | 55.4637 |
| 0.0653 | 9.3897 | 2000 | 1.0964 | 53.9440 |
| 0.0161 | 14.0845 | 3000 | 1.2460 | 51.9901 |
| 0.0044 | 18.7793 | 4000 | 1.3324 | 48.8060 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
openai/whisper-small