Whisper Small Hi - Swedish
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: 0.3252
- Wer: 97.1848
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1496 | 1.29 | 1000 | 0.2950 | 81.4552 |
| 0.0532 | 2.59 | 2000 | 0.2897 | 63.8219 |
| 0.0216 | 3.88 | 3000 | 0.3060 | 90.6321 |
| 0.0044 | 5.18 | 4000 | 0.3252 | 97.1848 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu118
- Datasets 2.14.7
- Tokenizers 0.11.0
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