latex-ocr

SeyedAli/latex-ocr

latex-ocr is a image-text-to-text model from SeyedAli. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Task: Image-Text-to-Text
Library: transformers
License: mit
Model type: vision-encoder-decoder
Access: Public
Created: Sep 20, 2026
Updated: Sep 20, 2026
SHA: ce8b10d9

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Base models

DGurgurov/im2latex

Model card

From the Hugging Face model README

latex-ocr

This model is a fine-tuned version of DGurgurov/im2latex on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2399

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
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
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9100	1.5984	500	0.2419
0.9206	2.0	626	0.2399

Framework versions

Transformers 5.16.1
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.23.1

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: Sep 20, 2026
Updated: Sep 20, 2026