whisper-tiny-zh-tw
This model is a fine-tuned version of Wellyowo/whisper-tiny-zh-tw on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5683
- Wer Ortho: 60.0
- Wer: 59.2233
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.1844 | 0.69 | 500 | 0.5523 | 64.0 | 65.0485 |
| 0.1105 | 1.38 | 1000 | 0.5425 | 65.0 | 64.0777 |
| 0.0475 | 2.06 | 1500 | 0.5324 | 63.0 | 64.0777 |
| 0.0687 | 2.75 | 2000 | 0.5128 | 62.0 | 61.1650 |
| 0.0371 | 3.44 | 2500 | 0.5496 | 64.0 | 64.0777 |
| 0.0181 | 4.13 | 3000 | 0.5339 | 62.0 | 63.1068 |
| 0.0202 | 4.82 | 3500 | 0.5474 | 65.0 | 64.0777 |
| 0.011 | 5.51 | 4000 | 0.5683 | 60.0 | 59.2233 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1