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whisper-small-tigrinya-r-28
Aregay01/whisper-small-tigrinya-r-28
whisper-small-tigrinya-r-28 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
- 3bfc243e
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-28
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: 16.3883
- Loss: 0.4323
- Wer: 44.4351
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 |
|---|---|---|---|---|---|
| 1.7237 | 0.6680 | 250 | 21.0719 | 0.4191 | 54.7073 |
| 1.2838 | 1.3340 | 500 | 16.5156 | 0.3613 | 46.5236 |
| 1.2354 | 2.0 | 750 | 15.6233 | 0.3347 | 44.5935 |
| 1.0210 | 2.6680 | 1000 | 15.6542 | 0.3255 | 44.0587 |
| 0.7947 | 3.3340 | 1250 | 15.2447 | 0.3284 | 43.1325 |
| 0.8205 | 4.0 | 1500 | 15.1736 | 0.3213 | 42.9502 |
| 0.6328 | 4.6680 | 1750 | 15.3297 | 0.3362 | 43.1205 |
| 0.4849 | 5.3340 | 2000 | 15.3243 | 0.3516 | 42.9173 |
| 0.5075 | 6.0 | 2250 | 15.2106 | 0.3511 | 42.5409 |
| 0.3795 | 6.6680 | 2500 | 15.8178 | 0.3769 | 43.8704 |
| 0.2632 | 7.3340 | 2750 | 16.1000 | 0.4020 | 43.9690 |
| 0.2492 | 8.0 | 3000 | 15.9667 | 0.4070 | 44.1125 |
| 0.1995 | 8.6680 | 3250 | 16.2856 | 0.4243 | 44.4471 |
| 0.1714 | 9.3340 | 3500 | 16.4018 | 0.4308 | 44.5397 |
| 0.1666 | 10.0 | 3750 | 16.3883 | 0.4323 | 44.4351 |
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