trocr-handwriting-small-fast

nehaMe123/trocr-handwriting-small-fast

trocr-handwriting-small-fast is a image-text-to-text model from nehaMe123. 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.

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

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At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Jan 15, 2026
Updated: Jan 15, 2026
SHA: de680ee6

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Base models

microsoft/trocr-small-handwritten

Model card

From the Hugging Face model README

trocr-handwriting-small-fast

This model is a fine-tuned version of microsoft/trocr-small-handwritten on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2459
Cer: 0.0506

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: 4e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.305	0.9276	1000	0.3632	0.0828
0.1766	1.8553	2000	0.2989	0.0597
0.1133	2.7829	3000	0.2459	0.0506

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Jan 15, 2026
Updated: Jan 15, 2026