openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the pphuc25/EngMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.0605
- Wer: 23.1540
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 |
|---|---|---|---|---|
| 0.6316 | 1.0 | 323 | 0.7416 | 27.0570 |
| 0.3434 | 2.0 | 646 | 0.8113 | 45.2004 |
| 0.1758 | 3.0 | 969 | 0.9400 | 37.6055 |
| 0.0946 | 4.0 | 1292 | 0.9426 | 45.8861 |
| 0.0614 | 5.0 | 1615 | 1.0252 | 40.0844 |
| 0.0435 | 6.0 | 1938 | 1.0605 | 23.1540 |
| 0.0235 | 7.0 | 2261 | 1.1076 | 29.8523 |
| 0.02 | 8.0 | 2584 | 1.1745 | 47.3101 |
| 0.0197 | 9.0 | 2907 | 1.1967 | 34.4937 |
| 0.0094 | 10.0 | 3230 | 1.2394 | 28.4283 |
| 0.0065 | 11.0 | 3553 | 1.2382 | 53.3755 |
| 0.0024 | 12.0 | 3876 | 1.2605 | 37.8165 |
| 0.0036 | 13.0 | 4199 | 1.2512 | 29.9051 |
| 0.002 | 14.0 | 4522 | 1.2735 | 32.7004 |
| 0.001 | 15.0 | 4845 | 1.2824 | 25.4747 |
| 0.0005 | 16.0 | 5168 | 1.2930 | 24.8945 |
| 0.0003 | 17.0 | 5491 | 1.2919 | 27.5844 |
| 0.0004 | 18.0 | 5814 | 1.3033 | 25.1055 |
| 0.0002 | 19.0 | 6137 | 1.2996 | 27.6371 |
| 0.0002 | 20.0 | 6460 | 1.3026 | 27.9008 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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