xlmr-singlish-sinhala-lora

RukDias/xlmr-singlish-sinhala-lora

xlmr-singlish-sinhala-lora is a machine learning model from RukDias. 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 8, 2026
Updated: Feb 8, 2026
SHA: d0ae292d

Base models

deshanksuman/swaBhahsa_XLMR_Transliteration

Model card

From the Hugging Face model README

xlmr-singlish-sinhala-lora

This model is a fine-tuned version of deshanksuman/swaBhahsa_XLMR_Transliteration on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1686

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH 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
0.8855	1.0	313	0.1984
0.7692	2.0	626	0.1824
0.6254	3.0	939	0.1742
0.6276	4.0	1252	0.1704
0.5605	5.0	1565	0.1686

Framework versions

PEFT 0.18.1
Transformers 5.1.0
Pytorch 2.7.1+cu118
Datasets 4.5.0
Tokenizers 0.22.2

Library: peft
License: apache-2.0
Created: Feb 8, 2026
Updated: Feb 8, 2026