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whisper-small-tigrinya-r-32
Aregay01/whisper-small-tigrinya-r-32
whisper-small-tigrinya-r-32 is a machine learning model from Aregay01. 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
- Feb 7, 2026
- Updated
- Feb 16, 2026
- SHA
- c257caa5
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-tigrinya-r-32
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Cer: 16.2664
- Loss: 0.4443
- Wer: 44.0975
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 1.7067 | 0.6680 | 250 | 20.2379 | 0.4194 | 53.5989 |
| 1.2662 | 1.3340 | 500 | 16.9180 | 0.3535 | 47.0435 |
| 1.2181 | 2.0 | 750 | 15.7577 | 0.3320 | 44.4949 |
| 1.0008 | 2.6680 | 1000 | 15.0975 | 0.3233 | 42.9323 |
| 0.7737 | 3.3340 | 1250 | 15.4744 | 0.3279 | 43.3595 |
| 0.8006 | 4.0 | 1500 | 14.7349 | 0.3221 | 42.7859 |
| 0.6077 | 4.6680 | 1750 | 15.3030 | 0.3387 | 42.8725 |
| 0.4587 | 5.3340 | 2000 | 15.5312 | 0.3529 | 43.2012 |
| 0.4760 | 6.0 | 2250 | 15.4100 | 0.3548 | 42.8665 |
| 0.3458 | 6.6680 | 2500 | 16.5764 | 0.3845 | 44.9252 |
| 0.2320 | 7.3340 | 2750 | 16.5760 | 0.4112 | 44.6443 |
| 0.2221 | 8.0 | 3000 | 16.3563 | 0.4165 | 44.2589 |
| 0.1678 | 8.6680 | 3250 | 16.8778 | 0.4360 | 45.0865 |
| 0.1415 | 9.3340 | 3500 | 16.4335 | 0.4432 | 44.2230 |
| 0.1373 | 10.0 | 3750 | 16.2664 | 0.4443 | 44.0975 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 7, 2026
- Updated
- Feb 16, 2026