openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the pphuc25/ChiMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.4458
- Wer: 91.7485
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 |
|---|---|---|---|---|
| 0.9094 | 1.0 | 161 | 1.0980 | 107.4656 |
| 0.5868 | 2.0 | 322 | 1.1400 | 169.7446 |
| 0.3831 | 3.0 | 483 | 1.1572 | 103.7328 |
| 0.1839 | 4.0 | 644 | 1.2091 | 99.2141 |
| 0.1032 | 5.0 | 805 | 1.2858 | 99.6071 |
| 0.0669 | 6.0 | 966 | 1.3358 | 94.3026 |
| 0.0445 | 7.0 | 1127 | 1.3355 | 95.6778 |
| 0.0279 | 8.0 | 1288 | 1.3960 | 93.1238 |
| 0.0218 | 9.0 | 1449 | 1.3946 | 95.4813 |
| 0.0163 | 10.0 | 1610 | 1.4312 | 91.7485 |
| 0.007 | 11.0 | 1771 | 1.4203 | 94.6955 |
| 0.0049 | 12.0 | 1932 | 1.4495 | 92.1415 |
| 0.0045 | 13.0 | 2093 | 1.4258 | 92.7308 |
| 0.0029 | 14.0 | 2254 | 1.4203 | 92.7308 |
| 0.0036 | 15.0 | 2415 | 1.4382 | 91.5521 |
| 0.0023 | 16.0 | 2576 | 1.4340 | 91.3556 |
| 0.0009 | 17.0 | 2737 | 1.4496 | 91.3556 |
| 0.0009 | 18.0 | 2898 | 1.4467 | 92.7308 |
| 0.0007 | 19.0 | 3059 | 1.4446 | 91.9450 |
| 0.0006 | 20.0 | 3220 | 1.4458 | 91.7485 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1