whisper-tiny-no-is
This model is a fine-tuned version of NbAiLab/nb-whisper-tiny on the samromur_asr dataset. It achieves the following results on the evaluation set:
- Loss: 1.6028
- Wer: 76.2938
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.809 | 0.0889 | 500 | 1.8714 | 81.6100 |
| 1.5205 | 0.1778 | 1000 | 1.6028 | 76.2938 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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