Whisper Small Icelandic
This model is a fine-tuned version of openai/whisper-small on the google/fleurs is_is dataset. It achieves the following results on the evaluation set:
- Loss: 1.6747
- Wer: 66.5053
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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0002 | 499.0 | 1000 | 1.6747 | 66.5053 |
| 0.0001 | 999.0 | 2000 | 1.7714 | 67.6670 |
| 0.0 | 1499.0 | 3000 | 1.8178 | 68.6350 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2