Whisper Small TW on Chinese base
This model is a fine-tuned version of Jingmiao/whisper-small-chinese_base on the mozilla-foundation/common_voice_11_0 zh-TW dataset. It achieves the following results on the evaluation set:
- Loss: 0.2601
- Wer: 41.9038
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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0071 | 6.02 | 1000 | 0.2364 | 42.6407 |
| 0.0008 | 13.02 | 2000 | 0.2601 | 41.9038 |
| 0.0004 | 20.01 | 3000 | 0.2771 | 42.3951 |
| 0.0003 | 27.0 | 4000 | 0.2867 | 42.6407 |
| 0.0002 | 33.02 | 5000 | 0.2901 | 42.6407 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Downloads last month
- 105
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train Jingmiao/whisper-small-chineseBaseTW
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 zh-TWtest set self-reported41.904