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Whisper-Small-MN
MinaNasser/Whisper-Small-MN
Whisper-Small-MN is a automatic speech recognition model from MinaNasser. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 21, 2026
- SHA
- f0c2f35d
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-Small-MN - Mina Nasser
This model is a fine-tuned version of openai/whisper-small on the Arabic_STT_DS_AI_Transcriped dataset. It achieves the following results on the evaluation set:
- Loss: 0.3650
- Wer: 37.8043
- Cer: 22.2604
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 450
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.8504 | 0.5495 | 250 | 0.4142 | 40.0875 | 23.4493 |
| 0.6431 | 1.0989 | 500 | 0.3914 | 39.1001 | 23.3363 |
| 0.6066 | 1.6484 | 750 | 0.3828 | 40.6354 | 24.3984 |
| 0.4221 | 2.1978 | 1000 | 0.3848 | 38.0043 | 22.2810 |
| 0.4463 | 2.7473 | 1250 | 0.3800 | 37.7134 | 22.3369 |
| 0.3035 | 3.2967 | 1500 | 0.3901 | 37.7368 | 22.3377 |
| 0.3085 | 3.8462 | 1750 | 0.3890 | 37.8684 | 22.5591 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Feb 20, 2026
- Updated
- Feb 21, 2026