LightOnOCR-2-1B-Math-Handwritten

sprok-daniel-mozaik/LightOnOCR-2-1B-Math-Handwritten

LightOnOCR-2-1B-Math-Handwritten is a text generation model from sprok-daniel-mozaik. Use it when you need the model to write or continue text. 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

Task: Text Generation
Library: peft
License: apache-2.0
Access: Public
Created: Apr 8, 2026
Updated: Apr 8, 2026
SHA: 2d7395ac

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Base models

lightonai/LightOnOCR-2-1B

Model card

From the Hugging Face model README

LightOnOCR-2-1B-Math-Handwritten

This model is a fine-tuned version of lightonai/LightOnOCR-2-1B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3156

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: 6e-05
train_batch_size: 4
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.1458	0.16	50	0.5339
0.4190	0.32	100	0.3892
0.3376	0.48	150	0.3491
0.3011	0.64	200	0.3280
0.2831	0.8	250	0.3190
0.2877	0.96	300	0.3156

Framework versions

PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2

Task: Text Generation
Library: peft
License: apache-2.0
Created: Apr 8, 2026
Updated: Apr 8, 2026