Whisper small Chinese fine
This model is a fine-tuned version of openai/whisper-small on the thchs30 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0537
- Cer: 1.6727
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1565
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1252 | 1.0 | 313 | 0.1105 | 3.7658 |
| 0.0371 | 2.0 | 626 | 0.0651 | 2.0993 |
| 0.0109 | 3.0 | 939 | 0.0554 | 1.6911 |
| 0.0041 | 4.0 | 1252 | 0.0539 | 1.6727 |
| 0.0026 | 5.0 | 1565 | 0.0537 | 1.6727 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for SakuraJ/whisper-small-Chinese-5epochs
Base model
openai/whisper-small