openai/whisper-small
This model is a fine-tuned version of openai/whisper-small on the pphuc25/ChiMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.3249
- Cer: 27.8520
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 | Cer |
|---|---|---|---|---|
| 0.776 | 1.0 | 161 | 0.9761 | 346.2567 |
| 0.4431 | 2.0 | 322 | 0.9469 | 55.4813 |
| 0.2522 | 3.0 | 483 | 1.1108 | 47.6381 |
| 0.1548 | 4.0 | 644 | 1.1770 | 33.2219 |
| 0.1216 | 5.0 | 805 | 1.2831 | 34.9822 |
| 0.0914 | 6.0 | 966 | 1.2727 | 31.5285 |
| 0.0799 | 7.0 | 1127 | 1.2785 | 33.9795 |
| 0.0503 | 8.0 | 1288 | 1.3214 | 41.1542 |
| 0.0577 | 9.0 | 1449 | 1.3421 | 31.4394 |
| 0.0316 | 10.0 | 1610 | 1.3284 | 35.1381 |
| 0.0249 | 11.0 | 1771 | 1.3602 | 30.2139 |
| 0.0245 | 12.0 | 1932 | 1.3494 | 32.3752 |
| 0.0199 | 13.0 | 2093 | 1.3304 | 30.7041 |
| 0.0126 | 14.0 | 2254 | 1.3625 | 30.6818 |
| 0.0039 | 15.0 | 2415 | 1.3302 | 29.3895 |
| 0.003 | 16.0 | 2576 | 1.3131 | 29.1444 |
| 0.0003 | 17.0 | 2737 | 1.3168 | 28.3422 |
| 0.0003 | 18.0 | 2898 | 1.3202 | 28.0526 |
| 0.0007 | 19.0 | 3059 | 1.3235 | 27.9857 |
| 0.0003 | 20.0 | 3220 | 1.3249 | 27.8520 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1