whisper-small-chichewa-2h
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4824
- Wer: 164.6744
- Cer: 110.9551
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.6254 | 0.0398 | 10 | 3.6812 | 233.6307 | 134.7658 |
| 3.8298 | 0.0797 | 20 | 3.4824 | 164.6744 | 110.9551 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.11.0
- Datasets 4.8.5
- Tokenizers 0.22.2