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Whisper Small fy-NL - RuudVelo
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 test set:
- Loss: 0.1443
- Wer: 21.03
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: 64
- eval_batch_size: 8
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Step | Validation Loss | Wer |
|---|---|---|---|
| 0.0053 | 1000 | 0.4201 | 21.64 |
| 0.0008 | 2000 | 0.4607 | 21.03 |
| 0.0004 | 3000 | 0.4853 | 21.11 |
| 0.0003 | 4000 | 0.5015 | 21.14 |
| 0.0002 | 5000 | 0.5084 | 21.20 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
