whisper-vietnamese-2
This model is a fine-tuned version of duytran3112/whisper-sm-vivos on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4398
- Wer: 15.4165
- Cer: 8.2906
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 |
|---|---|---|---|---|---|
| 0.1394 | 2.87 | 1000 | 0.3392 | 15.8696 | 8.6357 |
| 0.0182 | 5.73 | 2000 | 0.3863 | 15.6521 | 8.2710 |
| 0.008 | 8.6 | 3000 | 0.4126 | 15.2042 | 8.2426 |
| 0.0052 | 11.46 | 4000 | 0.4398 | 15.4165 | 8.2906 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3