Whisper Small zh - Experiment 3
This model is a fine-tuned version of openai/whisper-small on the sample152 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1194
- Cer: 4.3956
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: 2
- eval_batch_size: 1
- 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: 5
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2342 | 1.7857 | 100 | 0.1642 | 6.4835 |
| 0.0116 | 3.5714 | 200 | 0.1225 | 4.1758 |
| 0.002 | 5.3571 | 300 | 0.1194 | 4.3956 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for TsaiYing/whisper-small-zh-exp3
Base model
openai/whisper-small