Whisper Base Norwegian
This model is a fine-tuned version of pere/whisper-small-nob-clr on the NbAiLab/NCC_S dataset. It achieves the following results on the evaluation set:
- Loss: 0.3284
- Wer: 15.0122
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5975 | 0.33 | 1000 | 0.3354 | 15.7734 |
| 0.5783 | 0.67 | 2000 | 0.3327 | 16.3520 |
| 0.5788 | 1.0 | 3000 | 0.3284 | 15.0122 |
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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Evaluation results
- Wer on NbAiLab/NCC_Svalidation set self-reported15.012