whisper-small-E30_Yspeed
This model is a fine-tuned version of openai/whisper-small on the aihub old adult freq speed pause changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1835
- Cer: 4.8520
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2793 | 0.1289 | 100 | 0.2591 | 6.6318 |
| 0.1561 | 0.2579 | 200 | 0.2254 | 6.1560 |
| 0.1532 | 0.3868 | 300 | 0.2258 | 6.3205 |
| 0.1394 | 0.5158 | 400 | 0.2110 | 5.7096 |
| 0.1102 | 0.6447 | 500 | 0.2068 | 5.6391 |
| 0.1085 | 0.7737 | 600 | 0.2006 | 5.4159 |
| 0.108 | 0.9026 | 700 | 0.1983 | 5.5392 |
| 0.0547 | 1.0309 | 800 | 0.1861 | 5.1046 |
| 0.0462 | 1.1599 | 900 | 0.1899 | 4.9225 |
| 0.045 | 1.2888 | 1000 | 0.1920 | 5.0399 |
| 0.0407 | 1.4178 | 1100 | 0.1881 | 4.8167 |
| 0.0391 | 1.5467 | 1200 | 0.1845 | 4.7227 |
| 0.0403 | 1.6757 | 1300 | 0.1855 | 5.1222 |
| 0.0378 | 1.8046 | 1400 | 0.1846 | 4.8461 |
| 0.041 | 1.9336 | 1500 | 0.1835 | 4.8520 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3