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whisper-tiny-en_v9
naji02010101/whisper-tiny-en_v9
whisper-tiny-en_v9 is a automatic speech recognition model from naji02010101. 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
- Jun 19, 2025
- Updated
- Jun 21, 2025
- SHA
- a4e6adfd
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 tiny En v9 Naji
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6733
- Wer Ortho: 29.3915
- Wer: 20.8169
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.9714 | 0.16 | 100 | 1.4118 | 35.6127 | 25.7941 |
| 0.3325 | 0.32 | 200 | 0.7783 | 31.1177 | 22.9749 |
| 0.3148 | 0.48 | 300 | 0.7235 | 29.8563 | 21.5616 |
| 0.3247 | 0.64 | 400 | 0.7005 | 29.6142 | 21.2918 |
| 0.3384 | 0.8 | 500 | 0.6928 | 29.4267 | 21.2006 |
| 0.2685 | 0.96 | 600 | 0.6914 | 29.0518 | 20.4825 |
| 0.2862 | 1.12 | 700 | 0.6795 | 29.3642 | 21.0296 |
| 0.2466 | 1.28 | 800 | 0.6792 | 29.4540 | 21.1626 |
| 0.2803 | 1.44 | 900 | 0.6736 | 29.0596 | 20.4635 |
| 0.2414 | 1.6 | 1000 | 0.6755 | 29.1533 | 20.5737 |
| 0.2783 | 1.76 | 1100 | 0.6714 | 29.4618 | 20.9384 |
| 0.2696 | 1.92 | 1200 | 0.6775 | 29.6063 | 20.8777 |
| 0.2592 | 2.08 | 1300 | 0.6713 | 29.4540 | 20.8245 |
| 0.2193 | 2.24 | 1400 | 0.6733 | 29.3915 | 20.8169 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 2.14.6
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jun 19, 2025
- Updated
- Jun 21, 2025