Whisper Base Yue
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 yue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3671
- Wer: 69.5864
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0998 | 2.78 | 500 | 0.3500 | 71.4517 |
| 0.0085 | 5.56 | 1000 | 0.3671 | 69.5864 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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