Whisper Small Vietnamese - Steve Hoang
This model is a fine-tuned version of openai/whisper-small on the Vietnamese ASR dataset. It achieves the following results on the evaluation set:
- Loss: 1.3438
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: 1.25e-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: 50
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4238 | 0.11 | 100 | 2.2401 |
| 1.8787 | 0.21 | 200 | 1.7789 |
| 1.3912 | 0.32 | 300 | 1.3438 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.13.3