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whisper-small-en
Nzyoka19/whisper-small-en
whisper-small-en is a automatic speech recognition model from Nzyoka19. 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
- Dec 7, 2025
- Updated
- Dec 16, 2025
- SHA
- f2cc1602
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-en
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9996
- Wer: 68.4497
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0326 | 1.0 | 100 | 0.8999 | 49.6422 |
| 0.0297 | 2.0 | 200 | 0.9166 | 58.1942 |
| 0.0388 | 3.0 | 300 | 0.9314 | 73.6627 |
| 0.0164 | 4.0 | 400 | 0.9372 | 60.9881 |
| 0.0163 | 5.0 | 500 | 0.9578 | 64.2930 |
| 0.0258 | 6.0 | 600 | 0.9645 | 66.7121 |
| 0.0261 | 7.0 | 700 | 0.9639 | 65.5877 |
| 0.0092 | 8.0 | 800 | 0.9843 | 64.2589 |
| 0.0069 | 9.0 | 900 | 0.9951 | 65.6899 |
| 0.0056 | 10.0 | 1000 | 0.9996 | 68.4497 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 7, 2025
- Updated
- Dec 16, 2025