openai/whisper-tiny-Ko-haseong8012/korean-child-command-voice_train-0-10000
This model is a fine-tuned version of openai/whisper-tiny on the haseong8012/korean-child-command-voice_train-0-10000 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1263
- Wer: 27.1876
- Cer: 19.8556
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: 5e-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 | Cer |
|---|---|---|---|---|---|
| 1.1915 | 2.0 | 500 | 0.3624 | 78.8440 | 158.9770 |
| 0.0459 | 4.0 | 1000 | 0.2271 | 108.7274 | 129.0652 |
| 0.0111 | 6.0 | 1500 | 0.1616 | 44.8481 | 48.1227 |
| 0.0035 | 8.0 | 2000 | 0.1742 | 46.9043 | 44.5694 |
| 0.0014 | 10.0 | 2500 | 0.1635 | 32.8536 | 33.4027 |
| 0.0003 | 12.0 | 3000 | 0.1325 | 25.9995 | 21.7572 |
| 0.0001 | 14.0 | 3500 | 0.1300 | 27.1190 | 25.5743 |
| 0.0001 | 16.0 | 4000 | 0.1285 | 27.3475 | 24.4084 |
| 0.0001 | 18.0 | 4500 | 0.1266 | 27.1190 | 19.7030 |
| 0.0001 | 20.0 | 5000 | 0.1263 | 27.1876 | 19.8556 |
Framework versions
- Transformers 4.33.2
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.13.3