Whisper Small ko-Ynormal - 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: 0.3226
- Cer: 7.2687
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: 50
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1988 | 0.3 | 100 | 0.3257 | 8.7640 |
| 0.1965 | 0.59 | 200 | 0.3302 | 8.6157 |
| 0.1374 | 0.89 | 300 | 0.3257 | 9.6481 |
| 0.0528 | 1.18 | 400 | 0.3255 | 8.6097 |
| 0.0515 | 1.48 | 500 | 0.3126 | 8.0104 |
| 0.0461 | 1.78 | 600 | 0.3063 | 7.9096 |
| 0.0204 | 2.07 | 700 | 0.3209 | 7.8206 |
| 0.0174 | 2.37 | 800 | 0.3216 | 7.6070 |
| 0.0225 | 2.66 | 900 | 0.3095 | 7.4586 |
| 0.0204 | 2.96 | 1000 | 0.3186 | 8.0342 |
| 0.0048 | 3.25 | 1100 | 0.3188 | 7.6485 |
| 0.0062 | 3.55 | 1200 | 0.3149 | 7.4586 |
| 0.0044 | 3.85 | 1300 | 0.3156 | 7.4527 |
| 0.0076 | 4.14 | 1400 | 0.3182 | 7.1975 |
| 0.004 | 4.44 | 1500 | 0.3211 | 7.1738 |
| 0.0027 | 4.73 | 1600 | 0.3226 | 7.2687 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3