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: 0.7976
- Cer Ortho: 35.9855
- Cer: 29.9636
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: 32
- 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: 25
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer Ortho | Cer |
|---|---|---|---|---|---|
| 0.8364 | 1.0 | 300 | 0.8423 | 44.8697 | 32.3523 |
| 0.5618 | 2.0 | 600 | 0.7816 | 44.3497 | 31.3998 |
| 0.3559 | 3.0 | 900 | 0.7747 | 41.4869 | 30.1052 |
| 0.2016 | 4.0 | 1200 | 0.7828 | 37.2903 | 30.2107 |
| 0.0953 | 5.0 | 1500 | 0.7976 | 35.9855 | 29.9636 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.0.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
openai/whisper-tiny