Whisper Small Vietnamese - Nhi Le
This model is a fine-tuned version of openai/whisper-small on the Vietnamese ASR Custom Corpus dataset. It achieves the following results on the evaluation set:
- Loss: 2.3541
- Wer: 56.0841
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.6449 | 0.02 | 2 | 4.3170 | 30.7461 |
| 3.4276 | 0.04 | 4 | 2.9799 | 32.8493 |
| 2.7302 | 0.07 | 6 | 2.6128 | 30.0451 |
| 2.0397 | 0.09 | 8 | 2.4305 | 33.7506 |
| 2.0823 | 0.11 | 10 | 2.3541 | 56.0841 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0
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