whisper-small-indonesian-disaster-vanilla-0-2
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2545
- Wer: 10.2922
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: 32
- eval_batch_size: 16
- 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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0065 | 5.2356 | 1000 | 0.2161 | 10.7468 |
| 0.0006 | 10.4712 | 2000 | 0.2324 | 10.2922 |
| 0.0003 | 15.7068 | 3000 | 0.2439 | 10.3896 |
| 0.0002 | 20.9424 | 4000 | 0.2513 | 10.2597 |
| 0.0002 | 26.1780 | 5000 | 0.2545 | 10.2922 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.8.0+cu128
- Datasets 3.0.1
- Tokenizers 0.20.0