trocr-base-printed_license_plates_ocr

mariovigliar/trocr-base-printed_license_plates_ocr

trocr-base-printed_license_plates_ocr is a image-text-to-text model from mariovigliar. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

1.3K

Public

Parameters

334M

2.7 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.3 GB · 100%

At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Feb 14, 2024
Updated: Feb 14, 2024
SHA: 74df9de0

Try a prompt

Base models

microsoft/trocr-base-printed

Model card

From the Hugging Face model README

trocr-base-printed_license_plates_ocr

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

Loss: 0.1479
Cer: 0.0343

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.356	1.0	500	0.1934	0.041
0.1558	2.0	1000	0.1479	0.0343

Framework versions

Transformers 4.37.2
Pytorch 2.0.0+cu117
Datasets 2.17.0
Tokenizers 0.15.2

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Feb 14, 2024
Updated: Feb 14, 2024