Whisper Small Swedish Fast
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 sv-SE dataset. It achieves the following results on the evaluation set:
- Loss: 1.8738
- Wer: 62.6922
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 |
|---|---|---|---|---|
| 2.0512 | 6.01 | 1000 | 2.5997 | 87.1949 |
| 0.4367 | 12.02 | 2000 | 1.8089 | 68.1271 |
| 0.0806 | 18.03 | 3000 | 1.7969 | 63.5711 |
| 0.0194 | 25.01 | 4000 | 1.8435 | 63.4663 |
| 0.0121 | 31.02 | 5000 | 1.8738 | 62.6922 |
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 birgermoell/whisper-small-sv-fast
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 sv-SEtest set self-reported62.692