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English-to-Luo-language-translation-LoRA
KnoxDevelopers/English-to-Luo-language-translation-LoRA
English-to-Luo-language-translation-LoRA is a machine learning model from KnoxDevelopers. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026
- SHA
- 13503da7
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. -->
English-to-Luo-language-translation-LoRA
This model is a fine-tuned version of facebook/nllb-200-distilled-600M trained on the English-Luo dataset. It achieves the following results on the evaluation set:
- Loss: 1.8584
Model description
A LoRA adapter for translating text from English to Luo.
Intended uses & limitations
- Translate sentences, short and medium long paragraphs.
- Limited to translation tasks only.
- Limited output length (max length = 512)
Training and evaluation data
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
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1452 | 1.0 | 3479 | 1.9266 |
| 2.0791 | 2.0 | 6958 | 1.8880 |
| 1.9458 | 3.0 | 10437 | 1.8700 |
| 2.0109 | 4.0 | 13916 | 1.8614 |
| 2.0050 | 5.0 | 17395 | 1.8584 |
Evaluation metrics
| Metric | Results | Explained |
|---|---|---|
| BLEU | 13.711 | Matches exact word sequence referencing our ground truth and adapter output. |
| 0-20= translation is literal or broken, 20-50=good (sweet spot), >60=very good or identical training and test data. | ||
| chrF++ | 45.363 | Matches character sequence instead of whole words. |
| Model adapter is getting the root words and grammar concepts right but using different word variations or spellings than our ground truth. |
Framework versions
- PEFT 0.19.1
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- cc-by-nc-4.0
- Languages
- en, luo
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026