Whisper Small Shona - Casper Muziri
This model is a fine-tuned version of openai/whisper-small on the Google WAXAL dataset. It achieves the following results on the evaluation set:
- Loss: 0.4376
- Wer: 37.1131
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3940 | 1.1338 | 1000 | 0.4608 | 41.3111 |
| 0.2771 | 2.2676 | 2000 | 0.4146 | 36.3338 |
| 0.2642 | 3.4014 | 3000 | 0.4148 | 36.6475 |
| 0.1771 | 4.5351 | 4000 | 0.4276 | 36.9636 |
| 0.1395 | 5.6689 | 5000 | 0.4376 | 37.1131 |
Framework versions
- Transformers 5.10.1
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2