Wisper-Small-zh-TW
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3084
- Cer: 15.6339
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | Cer |
|---|---|---|---|---|
| 0.6123 | 1.3245 | 1000 | 0.6134 | 33.7535 |
| 0.1688 | 2.6490 | 2000 | 0.3170 | 17.2558 |
| 0.0472 | 3.9735 | 3000 | 0.3022 | 15.9905 |
| 0.01 | 5.2980 | 4000 | 0.3084 | 15.6339 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for jun-han/whisper-small-zh-TW
Base model
openai/whisper-small