ID Optimized Whisper Small for Inspirasi
This model is a fine-tuned version of openai/whisper-small on the Extracted Youtube with self developed dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.3682
- Wer: 14.6104
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0046 | 5.4054 | 1000 | 0.3295 | 14.9351 |
| 0.0004 | 10.8108 | 2000 | 0.3417 | 14.3506 |
| 0.0002 | 16.2162 | 3000 | 0.3556 | 14.7078 |
| 0.0002 | 21.6216 | 4000 | 0.3643 | 14.6753 |
| 0.0001 | 27.0270 | 5000 | 0.3682 | 14.6104 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.0a0+81ea7a4
- Datasets 3.6.0
- Tokenizers 0.21.1