Whisper Small Western Frisian (Netherlands)
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 fy-NL dataset. This is an attempt for cross lingual transfer from Dutch to Frisian, since Whisper doesn't support Frisian.
It achieves the following results on the evaluation set:
- Loss: 0.5443
- Wer: 22.2969
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: 32
- 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 |
|---|---|---|---|---|
| 0.0067 | 10.01 | 1000 | 0.4810 | 23.0115 |
| 0.0008 | 21.0 | 2000 | 0.5200 | 22.3576 |
| 0.0004 | 31.01 | 3000 | 0.5443 | 22.2969 |
| 0.0003 | 42.0 | 4000 | 0.5610 | 22.3719 |
| 0.0002 | 52.01 | 5000 | 0.5674 | 22.3898 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train polixonrio/whisper-small-fy-NL
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 fy-NLtest set self-reported22.297