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whisper-large-v3-lug-waxal
rwamux/whisper-large-v3-lug-waxal
whisper-large-v3-lug-waxal is a machine learning model from rwamux. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026
- SHA
- e5cbddf9
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-large-v3-lug-waxal
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4990
- Wer: 0.2942
- Cer: 0.1496
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.4535 | 0.2 | 200 | 0.7620 | 0.5706 | 0.2532 |
| 1.9917 | 1.059 | 400 | 0.6164 | 0.4611 | 0.2013 |
| 1.4322 | 1.259 | 600 | 0.5738 | 0.3519 | 0.1830 |
| 1.0731 | 2.118 | 800 | 0.5282 | 0.3490 | 0.1940 |
| 1.0370 | 2.318 | 1000 | 0.4990 | 0.2942 | 0.1496 |
Framework versions
- PEFT 0.20.0
- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026