openai/whisper-small
This model is a fine-tuned version of openai/whisper-small on the pphuc25/EngMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.2775
- Wer: 25.8817
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 |
|---|---|---|---|---|
| 0.8149 | 1.0 | 3491 | 0.8968 | 43.5550 |
| 0.5126 | 2.0 | 6982 | 0.8805 | 35.9730 |
| 0.3308 | 3.0 | 10473 | 0.9173 | 36.4008 |
| 0.2412 | 4.0 | 13964 | 0.9814 | 33.9519 |
| 0.1667 | 5.0 | 17455 | 1.0400 | 31.9450 |
| 0.1001 | 6.0 | 20946 | 1.0903 | 33.1316 |
| 0.079 | 7.0 | 24437 | 1.1191 | 33.2309 |
| 0.0751 | 8.0 | 27928 | 1.1580 | 29.3991 |
| 0.0515 | 9.0 | 31419 | 1.1723 | 29.8778 |
| 0.0395 | 10.0 | 34910 | 1.1876 | 29.4972 |
| 0.0313 | 11.0 | 38401 | 1.2305 | 28.8578 |
| 0.0129 | 12.0 | 41892 | 1.2344 | 27.5577 |
| 0.0207 | 13.0 | 45383 | 1.2527 | 29.9002 |
| 0.0169 | 14.0 | 48874 | 1.2498 | 27.3969 |
| 0.0055 | 15.0 | 52365 | 1.2604 | 27.4277 |
| 0.003 | 16.0 | 55856 | 1.2627 | 26.8923 |
| 0.0011 | 17.0 | 59347 | 1.2700 | 26.9135 |
| 0.0013 | 18.0 | 62838 | 1.2695 | 27.4785 |
| 0.0001 | 19.0 | 66329 | 1.2804 | 26.2836 |
| 0.0 | 20.0 | 69820 | 1.2775 | 25.8817 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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