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whisper-akan-finetuned
zirri23/whisper-akan-finetuned
whisper-akan-finetuned is a machine learning model from zirri23. 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
- Jan 26, 2026
- Updated
- Jan 27, 2026
- SHA
- 8c891cb9
Base models
Datasets
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 Akan Finetuned
This model is a fine-tuned version of openai/whisper-small on the WaxalNLP Akan dataset. It achieves the following results on the evaluation set:
- Loss: 0.5045
- Wer: 38.8906
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: 5e-05
- 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: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.5849 | 0.8795 | 500 | 0.7880 | 58.7006 |
| 1.1377 | 1.7581 | 1000 | 0.5842 | 45.0593 |
| 0.9672 | 2.6368 | 1500 | 0.5044 | 38.2501 |
| 0.8439 | 3.5154 | 2000 | 0.4759 | 37.6913 |
| 0.7449 | 4.3940 | 2500 | 0.4575 | 42.1849 |
| 0.5790 | 5.2726 | 3000 | 0.4555 | 40.9956 |
| 0.5198 | 6.1513 | 3500 | 0.4545 | 46.8275 |
| 0.5027 | 7.0299 | 4000 | 0.4539 | 47.9825 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- ak
- Created
- Jan 26, 2026
- Updated
- Jan 27, 2026