Sudanese Whisper - MohammadJamalaldeen
This model is a fine-tuned version of openai/whisper-small on the Sudanese Dialect dataset. It achieves the following results on the evaluation set:
- Loss: 0.9342
- Wer: 109.0044
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3694 | 1.66 | 1000 | 0.8267 | 83.6398 |
| 0.136 | 3.31 | 2000 | 0.8340 | 107.5460 |
| 0.0695 | 4.97 | 3000 | 0.8763 | 80.6806 |
| 0.0198 | 6.62 | 4000 | 0.9342 | 109.0044 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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