Whisper Small Dv - Mark Redito
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 - Dhivehi dataset. It achieves the following results on the evaluation set:
- Loss: 0.3041
- Wer Ortho: 56.8563
- Wer: 10.8634
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.121 | 1.6287 | 500 | 0.1725 | 62.6994 | 13.3481 |
| 0.0435 | 3.2573 | 1000 | 0.1651 | 57.9567 | 11.5659 |
| 0.0296 | 4.8860 | 1500 | 0.1829 | 58.1517 | 11.6076 |
| 0.0071 | 6.5147 | 2000 | 0.2369 | 58.8203 | 11.4198 |
| 0.0016 | 8.1433 | 2500 | 0.2718 | 57.9915 | 11.2129 |
| 0.0011 | 9.7720 | 3000 | 0.2923 | 57.1349 | 11.1242 |
| 0.0002 | 11.4007 | 3500 | 0.3001 | 56.8633 | 10.9173 |
| 0.0002 | 13.0293 | 4000 | 0.3041 | 56.8563 | 10.8634 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for markredito/whisper-small-dv
Base model
openai/whisper-smallDataset used to train markredito/whisper-small-dv
Evaluation results
- Wer on Common Voice 13 - Dhivehitest set self-reported10.863