Whisper Small Vi - 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: 0.9983
- Wer: 245.2381
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 |
|---|---|---|---|---|
| 2.099 | 1.0 | 2 | 1.9868 | 26.1905 |
| 1.779 | 2.0 | 4 | 1.5173 | 257.1429 |
| 1.1783 | 3.0 | 6 | 1.2374 | 245.2381 |
| 0.964 | 4.0 | 8 | 1.0648 | 245.2381 |
| 0.89 | 5.0 | 10 | 0.9983 | 245.2381 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.0+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0