openai/whisper-medium
This model is a fine-tuned version of openai/whisper-medium on the pphuc25/ChiMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.1592
- Wer: 80.9430
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 |
|---|---|---|---|---|
| 0.6574 | 1.0 | 161 | 0.8255 | 104.1257 |
| 0.3457 | 2.0 | 322 | 0.8750 | 90.9627 |
| 0.2273 | 3.0 | 483 | 0.9033 | 84.4794 |
| 0.1392 | 4.0 | 644 | 0.9562 | 81.3360 |
| 1.8629 | 5.0 | 805 | 1.3537 | 127.1120 |
| 0.0816 | 6.0 | 966 | 1.0682 | 88.0157 |
| 0.0722 | 7.0 | 1127 | 1.0343 | 100.0 |
| 0.0494 | 8.0 | 1288 | 1.0605 | 84.4794 |
| 0.0405 | 9.0 | 1449 | 1.0960 | 86.6405 |
| 0.0403 | 10.0 | 1610 | 1.1383 | 87.4263 |
| 0.0216 | 11.0 | 1771 | 1.0693 | 88.9980 |
| 0.0166 | 12.0 | 1932 | 1.0588 | 88.0157 |
| 0.0126 | 13.0 | 2093 | 1.1074 | 79.1749 |
| 0.0083 | 14.0 | 2254 | 1.1398 | 83.6935 |
| 0.0075 | 15.0 | 2415 | 1.1451 | 88.6051 |
| 0.0019 | 16.0 | 2576 | 1.1521 | 85.0688 |
| 0.0006 | 17.0 | 2737 | 1.1442 | 81.1395 |
| 0.0007 | 18.0 | 2898 | 1.1521 | 82.3183 |
| 0.0003 | 19.0 | 3059 | 1.1581 | 80.9430 |
| 0.0002 | 20.0 | 3220 | 1.1592 | 80.9430 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1