Whisper Tiny Ha - Eldad Akhaumere
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.5851
- Wer Ortho: 108.4180
- Wer: 107.2811
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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.3176 | 3.1847 | 500 | 2.1073 | 133.8086 | 132.4392 |
| 0.624 | 6.3694 | 1000 | 2.2333 | 110.4492 | 111.1324 |
| 0.2135 | 9.5541 | 1500 | 2.4375 | 101.6211 | 100.4407 |
| 0.0593 | 12.7389 | 2000 | 2.5851 | 108.4180 | 107.2811 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for eldad-akhaumere/whisper-tiny-ha
Base model
openai/whisper-tiny