Whisper Small Vietnames - Huybunn
This model is a fine-tuned version of openai/whisper-small on the Infore1 25hours(50%) dataset. It achieves the following results on the evaluation set:
- Loss: 0.1043
- Wer: 4.2194
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.034 | 2.6747 | 1000 | 0.1046 | 5.2202 |
| 0.0017 | 5.3481 | 2000 | 0.0985 | 4.2982 |
| 0.0007 | 8.0214 | 3000 | 0.1024 | 4.2129 |
| 0.0005 | 10.6961 | 4000 | 0.1043 | 4.2194 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0
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Model tree for huybunn/whisper-small-vi
Base model
openai/whisper-smallDataset used to train huybunn/whisper-small-vi
Evaluation results
- Wer on Infore1 25hours(50%)self-reported4.219