whisper-medium-vietnamese
This model is a fine-tuned version of JRHuy/whisper-vietnamese-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4836
- Wer: 15.8204
- Cer: 8.7789
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0069 | 2.87 | 1000 | 0.4490 | 16.3409 | 9.1222 |
| 0.0042 | 5.73 | 2000 | 0.4687 | 15.7427 | 8.5273 |
| 0.0033 | 8.6 | 3000 | 0.4829 | 15.6754 | 8.5060 |
| 0.0022 | 11.46 | 4000 | 0.4836 | 15.8204 | 8.7789 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
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