Whisper Small Tl - LWobole
This model is a fine-tuned version of openai/whisper-small on the fleurs_fil_ph dataset. It achieves the following results on the evaluation set:
- Loss: 0.5111
- Wer: 17.3340
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: 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 |
|---|---|---|---|---|
| 0.0082 | 8.4746 | 1000 | 0.4410 | 17.2100 |
| 0.0008 | 16.9492 | 2000 | 0.4821 | 16.8456 |
| 0.0004 | 25.4237 | 3000 | 0.5031 | 17.3030 |
| 0.0003 | 33.8983 | 4000 | 0.5111 | 17.3340 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1