whisper-small-chinese-tw
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2167
- Wer: 39.7324
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: 16
- eval_batch_size: 8
- seed: 42
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0957 | 1.4184 | 1000 | 0.1986 | 40.8792 |
| 0.0315 | 2.8369 | 2000 | 0.2038 | 40.4544 |
| 0.0036 | 4.2553 | 3000 | 0.2102 | 40.1571 |
| 0.0018 | 5.6738 | 4000 | 0.2167 | 39.7324 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3