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whisper-base-najdi-dialect
AAljabri/whisper-base-najdi-dialect
whisper-base-najdi-dialect is a machine learning model from AAljabri. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025
- SHA
- 2fd0fad8
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-base-najdi-dialect
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9517
- Wer: 53.1807
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3563 | 10.0 | 100 | 0.7793 | 55.3859 |
| 0.0288 | 20.0 | 200 | 0.8709 | 54.1137 |
| 0.0092 | 30.0 | 300 | 0.9218 | 54.1137 |
| 0.0063 | 40.0 | 400 | 0.9454 | 52.8414 |
| 0.0054 | 50.0 | 500 | 0.9517 | 53.1807 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.6.0+cu124
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025