whisper-small-id
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3366
- Wer: 16.8612
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|
| 0.1798 | 1.9305 | 1000 | 0.2465 | 17.3310 |
| 0.0379 | 3.8610 | 2000 | 0.2716 | 17.6985 |
| 0.0058 | 5.7915 | 3000 | 0.3082 | 17.6334 |
| 0.0017 | 7.7220 | 4000 | 0.3317 | 16.7822 |
| 0.0013 | 9.6525 | 5000 | 0.3366 | 16.8612 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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openai/whisper-small