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whisper-small-ap3
npallewela/whisper-small-ap3
whisper-small-ap3 is a automatic speech recognition model from npallewela. 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
- Nov 24, 2025
- Updated
- Nov 24, 2025
- SHA
- 57337570
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 ap3 - Nuwan
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: 0.5516
- Wer Ortho: 31.1588
- Wer: 30.4553
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.4586 | 0.1642 | 400 | 0.5965 | 36.5712 | 35.9906 |
| 0.45 | 0.3284 | 800 | 0.5949 | 34.1257 | 33.5673 |
| 0.4665 | 0.4926 | 1200 | 0.5824 | 33.6163 | 33.0131 |
| 0.4427 | 0.6568 | 1600 | 0.5769 | 34.0227 | 33.3670 |
| 0.3917 | 0.8210 | 2000 | 0.5714 | 32.6097 | 31.9060 |
| 0.423 | 0.9852 | 2400 | 0.5660 | 32.9462 | 32.3243 |
| 0.3857 | 1.1494 | 2800 | 0.5634 | 31.4802 | 30.8823 |
| 0.372 | 1.3136 | 3200 | 0.5638 | 31.6394 | 30.9379 |
| 0.3803 | 1.4778 | 3600 | 0.5603 | 31.0617 | 30.4553 |
| 0.356 | 1.6420 | 4000 | 0.5516 | 31.1588 | 30.4553 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Nov 24, 2025
- Updated
- Nov 24, 2025