nllb-sa-finetuned

Or4kool/nllb-sa-finetuned

nllb-sa-finetuned is a machine learning model from Or4kool. 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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Repo size

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Hugging Face

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At a glance

Library: peft
License: cc-by-nc-4.0
Access: Public
Created: May 22, 2026
Updated: May 24, 2026
SHA: 8e442680

Base models

facebook/nllb-200-3.3B

Model card

From the Hugging Face model README

nllb-sa-finetuned

This model is a fine-tuned version of facebook/nllb-200-3.3B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1843
Model Preparation Time: 0.0575

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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_BNB 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: 500
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
3.1615	0.0101	500	1.4611	0.0575
3.0072	0.0202	1000	1.3972	0.0575
2.8503	0.0303	1500	1.3589	0.0575
2.8210	0.0404	2000	1.3341	0.0575
2.8089	0.0505	2500	1.3136	0.0575
2.7953	0.0606	3000	1.2988	0.0575
2.7414	0.0707	3500	1.2842	0.0575
2.6644	0.0808	4000	1.2661	0.0575
2.6363	0.0909	4500	1.2535	0.0575
2.6871	0.1010	5000	1.2412	0.0575
2.5607	0.1111	5500	1.2289	0.0575
2.6463	0.1212	6000	1.2177	0.0575
2.6042	0.1313	6500	1.2101	0.0575
2.5593	0.1414	7000	1.2027	0.0575
2.6148	0.1515	7500	1.1949	0.0575
2.5434	0.1616	8000	1.1908	0.0575
2.5353	0.1717	8500	1.1868	0.0575
2.5028	0.1818	9000	1.1856	0.0575
2.5299	0.1919	9500	1.1844	0.0575
2.4559	0.2020	10000	1.1843	0.0575

Framework versions

PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Library: peft
License: cc-by-nc-4.0
Created: May 22, 2026
Updated: May 24, 2026