Whisper Small Tagalog - Yohan Keraudren
This model is a fine-tuned version of openai/whisper-small on the Google Fleurs Filipino dataset. It achieves the following results on the evaluation set:
- Loss: 0.5932
- Wer: 20.1879
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 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0087 | 8.4746 | 1000 | 0.5078 | 21.3190 |
| 0.0021 | 16.9492 | 2000 | 0.5594 | 20.6576 |
| 0.0005 | 25.4237 | 3000 | 0.5833 | 20.2646 |
| 0.0004 | 33.8983 | 4000 | 0.5932 | 20.1879 |
Framework versions
- Transformers 5.18.0
- Pytorch 2.11.0+cu130
- Datasets 5.0.1
- Tokenizers 0.23.2