Whisper Medium Shona - Casper Muziri
This model is a fine-tuned version of openai/whisper-medium on the Google WAXAL dataset. It achieves the following results on the evaluation set:
- Loss: 0.3686
- Wer: 34.1551
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: 100
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4150 | 0.5669 | 500 | 0.4356 | 39.3187 |
| 0.2997 | 1.1338 | 1000 | 0.3889 | 37.1597 |
| 0.2878 | 1.7007 | 1500 | 0.3701 | 35.7750 |
| 0.2059 | 2.2676 | 2000 | 0.3711 | 34.2115 |
| 0.2055 | 2.8345 | 2500 | 0.3686 | 34.1551 |
Framework versions
- Transformers 5.10.1
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2