Whisper Small Chinese Filtered
This model is a fine-tuned version of openai/whisper-small on the Learn Chinese dataset. It achieves the following results on the evaluation set:
- Loss: 0.2198
- Cer: 9.3505
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.8566 | 0.22 | 100 | 0.6834 | 16.0219 |
| 0.4275 | 0.45 | 200 | 0.3398 | 17.3939 |
| 0.2534 | 0.67 | 300 | 0.2417 | 15.4507 |
| 0.2654 | 0.9 | 400 | 0.2306 | 19.4430 |
| 0.1627 | 1.12 | 500 | 0.2253 | 12.5478 |
| 0.1587 | 1.34 | 600 | 0.2183 | 9.8039 |
| 0.1807 | 1.57 | 700 | 0.2107 | 11.3349 |
| 0.1394 | 1.79 | 800 | 0.2109 | 10.8638 |
| 0.118 | 2.02 | 900 | 0.2084 | 9.8510 |
| 0.0886 | 2.24 | 1000 | 0.2134 | 9.9865 |
| 0.0663 | 2.46 | 1100 | 0.2157 | 9.6862 |
| 0.0997 | 2.69 | 1200 | 0.2125 | 9.4153 |
| 0.0707 | 2.91 | 1300 | 0.2129 | 9.2563 |
| 0.0476 | 3.14 | 1400 | 0.2156 | 9.0443 |
| 0.0435 | 3.36 | 1500 | 0.2174 | 9.0031 |
| 0.0543 | 3.58 | 1600 | 0.2168 | 8.9855 |
| 0.044 | 3.81 | 1700 | 0.2175 | 9.5154 |
| 0.0446 | 4.03 | 1800 | 0.2186 | 9.2387 |
| 0.0364 | 4.26 | 1900 | 0.2199 | 9.1739 |
| 0.037 | 4.48 | 2000 | 0.2198 | 9.3505 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.1