trocr-ara-fonts64

cyttic/trocr-ara-fonts64

trocr-ara-fonts64 is a image-text-to-text model from cyttic. 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: Jul 31, 2026
Updated: Oct 30, 2026
SHA: 2448f1a7

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Base models

cyttic/hatformer-synthetic-arabic

Model card

From the Hugging Face model README

trocr-ara-fonts64

This model is a fine-tuned version of cyttic/hatformer-synthetic-arabic on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0265
Cer: 0.0006

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 0.1
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.2364	0.0161	250	0.0717	0.0034
0.2522	0.0323	500	0.0785	0.0034
0.1697	0.0484	750	0.0696	0.0033
0.1362	0.0645	1000	0.0782	0.0044
0.1461	0.0806	1250	0.0586	0.0021
0.1376	0.0968	1500	0.0537	0.0016
0.1009	0.1129	1750	0.0551	0.0017
0.1136	0.1290	2000	0.0467	0.0015
0.1697	0.1452	2250	0.0537	0.0099
0.0766	0.1613	2500	0.0370	0.0010
0.0890	0.1774	2750	0.0337	0.0007
0.0805	0.1935	3000	0.0312	0.0009
0.0539	0.2097	3250	0.0299	0.0007
0.0677	0.2258	3500	0.0280	0.0006
0.0694	0.2419	3750	0.0270	0.0007
0.0591	0.2581	4000	0.0265	0.0006

Framework versions

Transformers 5.14.1
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: Jul 31, 2026
Updated: Oct 30, 2026