Whisper Small ko-Yfreq - syp1229
This model is a fine-tuned version of openai/whisper-small on the aihub Y dialogue dataset. It achieves the following results on the evaluation set:
- Loss: 0.1951
- Cer: 0.0822
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2218 | 0.3 | 100 | 0.2452 | 0.0622 |
| 0.2261 | 0.59 | 200 | 0.2389 | 0.0653 |
| 0.2032 | 0.89 | 300 | 0.2079 | 0.0554 |
| 0.0821 | 1.18 | 400 | 0.2152 | 0.0630 |
| 0.0763 | 1.48 | 500 | 0.2025 | 0.0520 |
| 0.0778 | 1.78 | 600 | 0.1997 | 0.0611 |
| 0.0216 | 2.07 | 700 | 0.1918 | 0.0609 |
| 0.0226 | 2.37 | 800 | 0.1884 | 0.0663 |
| 0.0289 | 2.66 | 900 | 0.1940 | 0.2490 |
| 0.0212 | 2.96 | 1000 | 0.1925 | 0.1068 |
| 0.0075 | 3.25 | 1100 | 0.1966 | 0.0615 |
| 0.0044 | 3.55 | 1200 | 0.1986 | 0.0629 |
| 0.0051 | 3.85 | 1300 | 0.1950 | 0.1097 |
| 0.003 | 4.14 | 1400 | 0.1929 | 0.0689 |
| 0.0029 | 4.44 | 1500 | 0.1958 | 0.0774 |
| 0.0029 | 4.73 | 1600 | 0.1951 | 0.0822 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3