Whisper Small Traditional Chinese
This model is a fine-tuned version of kimbochen/whisper-small-zh-tw on the mozilla-foundation/common_voice_11_0 zh-TW dataset. It achieves the following results on the evaluation set:
- Loss: 0.4334
- Wer: 32.0420
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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1200
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0066 | 2.05 | 400 | 0.3743 | 32.9100 |
| 0.0084 | 5.03 | 800 | 0.3787 | 33.4171 |
| 0.0098 | 8.01 | 1200 | 0.3979 | 33.2481 |
| 0.0019 | 10.06 | 1600 | 0.4084 | 32.3116 |
| 0.0008 | 13.04 | 2000 | 0.4334 | 32.0420 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train kimbochen/whisper-small-zh-tw
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 zh-TWtest set self-reported32.042