Whisper Small_Ha Bleu - Eldad Akhaumere
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.0_ dataset. It achieves the following results on the evaluation set:
- Loss: 1.8567
- Bleu: 11.7649
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.4391 | 0.3185 | 50 | 1.9226 | 7.4601 |
| 0.3422 | 0.6369 | 100 | 1.9320 | 9.7294 |
| 0.3862 | 0.9554 | 150 | 1.8567 | 11.7649 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4