openai/whisper-small
This model is a fine-tuned version of openai/whisper-small on the pphuc25/VietMed-split-8-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9216
- Wer: 21.8561
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6191 | 1.0 | 569 | 0.6122 | 27.3513 |
| 0.416 | 2.0 | 1138 | 0.5613 | 23.9795 |
| 0.2528 | 3.0 | 1707 | 0.6226 | 24.4701 |
| 0.1453 | 4.0 | 2276 | 0.6960 | 24.5140 |
| 0.0692 | 5.0 | 2845 | 0.7635 | 24.2687 |
| 0.0573 | 6.0 | 3414 | 0.7980 | 23.7013 |
| 0.032 | 7.0 | 3983 | 0.8142 | 23.7452 |
| 0.024 | 8.0 | 4552 | 0.8477 | 23.4999 |
| 0.024 | 9.0 | 5121 | 0.8555 | 23.6830 |
| 0.0126 | 10.0 | 5690 | 0.8619 | 23.4889 |
| 0.0086 | 11.0 | 6259 | 0.8640 | 23.3608 |
| 0.0061 | 12.0 | 6828 | 0.8844 | 22.7384 |
| 0.004 | 13.0 | 7397 | 0.8794 | 22.4492 |
| 0.0019 | 14.0 | 7966 | 0.8946 | 22.3833 |
| 0.0037 | 15.0 | 8535 | 0.9154 | 22.1636 |
| 0.0003 | 16.0 | 9104 | 0.9130 | 21.9843 |
| 0.0015 | 17.0 | 9673 | 0.9345 | 21.9074 |
| 0.0002 | 18.0 | 10242 | 0.9144 | 21.8708 |
| 0.0001 | 19.0 | 10811 | 0.9198 | 21.8268 |
| 0.0002 | 20.0 | 11380 | 0.9216 | 21.8561 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1