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: 1.1524
- Wer: 82.7112
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 |
|---|---|---|---|---|
| 0.6099 | 1.0 | 161 | 0.7541 | 214.5383 |
| 0.3252 | 2.0 | 322 | 0.8393 | 166.9941 |
| 0.1959 | 3.0 | 483 | 0.8690 | 116.3065 |
| 0.101 | 4.0 | 644 | 0.9098 | 87.8193 |
| 0.0746 | 5.0 | 805 | 0.9271 | 85.8546 |
| 0.0384 | 6.0 | 966 | 0.9985 | 84.0864 |
| 0.0462 | 7.0 | 1127 | 1.0526 | 80.3536 |
| 0.0415 | 8.0 | 1288 | 1.0810 | 84.2829 |
| 0.0326 | 9.0 | 1449 | 1.1428 | 82.9077 |
| 0.023 | 10.0 | 1610 | 1.1043 | 84.0864 |
| 0.0157 | 11.0 | 1771 | 1.0950 | 81.7289 |
| 0.0152 | 12.0 | 1932 | 1.1084 | 83.4971 |
| 0.0068 | 13.0 | 2093 | 1.0879 | 81.1395 |
| 0.0056 | 14.0 | 2254 | 1.1089 | 83.6935 |
| 0.0012 | 15.0 | 2415 | 1.1175 | 82.3183 |
| 0.0005 | 16.0 | 2576 | 1.1441 | 84.2829 |
| 0.0005 | 17.0 | 2737 | 1.1475 | 83.1041 |
| 0.0008 | 18.0 | 2898 | 1.1505 | 82.7112 |
| 0.0002 | 19.0 | 3059 | 1.1518 | 82.7112 |
| 0.0002 | 20.0 | 3220 | 1.1524 | 82.7112 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1