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Whisper tiny Icelandic
This model is a fine-tuned version of openai/whisper-tiny on the language-and-voice-lab/samromur_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.8061
- Wer: 53.125
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4531 | 0.25 | 250 | 1.5444 | 88.0 |
| 0.8932 | 0.5 | 500 | 1.0078 | 62.0 |
| 0.7225 | 0.75 | 750 | 0.8466 | 53.625 |
| 0.6828 | 1.0 | 1000 | 0.8061 | 53.125 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2
