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whisper-small-pa-round3
kmlkrwl/whisper-small-pa-round3
whisper-small-pa-round3 is a automatic speech recognition model from kmlkrwl. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- d3472426
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-pa-round3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3538
- Wer: 39.1210
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: 8
- 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0238 | 4.9020 | 250 | 0.2372 | 40.0705 |
| 0.0064 | 9.8039 | 500 | 0.3321 | 41.1557 |
| 0.0012 | 14.7059 | 750 | 0.3572 | 40.9658 |
| 0.0001 | 19.6078 | 1000 | 0.3538 | 39.1210 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026