Whisper tiny Icelandic Children
This model is a fine-tuned version of openai/whisper-tiny on the language-and-voice-lab/samromur_children dataset. It achieves the following results on the evaluation set:
- Loss: 0.6313
- Wer: 45.2916
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 |
|---|---|---|---|---|
| 1.4343 | 0.25 | 250 | 1.4900 | 77.9349 |
| 0.7722 | 0.5 | 500 | 0.8731 | 60.2878 |
| 0.7181 | 0.75 | 750 | 0.6534 | 46.5034 |
| 0.5733 | 1.0 | 1000 | 0.6313 | 45.2916 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2
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Dataset used to train einargizz/whisper_samromur_children
Evaluation results
- Wer on language-and-voice-lab/samromur_childrenvalidation set self-reported45.292