Hamsa distill alfa
This model is a fine-tuned version of distil-whisper/distil-large-v2 on the nadsoft/Jordan-Audio dataset. It achieves the following results on the evaluation set:
- Loss: 0.9732
- Wer Ortho: 47.5105
- Wer: 45.2234
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: 0.0002
- 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
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.2094 | 7.04 | 2000 | 0.8198 | 48.5575 | 46.3918 |
| 0.0883 | 14.08 | 4000 | 0.9112 | 47.4174 | 44.6048 |
| 0.0662 | 21.13 | 6000 | 0.9644 | 46.8125 | 44.6277 |
| 0.0496 | 28.17 | 8000 | 0.9732 | 47.5105 | 45.2234 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1