Whisper Tiny chinese - VingeNie
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2299
- Cer Ortho: 12.3059
- Cer: 9.6019
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: 0.0001
- 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: 200
- training_steps: 2400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer Ortho | Cer |
|---|---|---|---|---|---|
| 0.3624 | 0.4762 | 400 | 0.3612 | 20.5899 | 14.9427 |
| 0.2975 | 0.9524 | 800 | 0.2915 | 16.1479 | 12.4655 |
| 0.1978 | 1.4286 | 1200 | 0.2650 | 14.6830 | 11.2300 |
| 0.1852 | 1.9048 | 1600 | 0.2438 | 13.5687 | 10.3808 |
| 0.1172 | 2.3810 | 2000 | 0.2361 | 12.6794 | 9.9609 |
| 0.1097 | 2.8571 | 2400 | 0.2299 | 12.3059 | 9.6019 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
openai/whisper-tiny