image-text-captcha-v2

dragonstar/image-text-captcha-v2

image-text-captcha-v2 is a image-text-to-text model from dragonstar. 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

1% of all-time downloads

All-time downloads

2.6K

Public

Repo size

8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Jun 2, 2023
Updated: Sep 11, 2023
SHA: a140595a

Try a prompt

Base models

microsoft/trocr-base-printed

Spaces

Unique00225/img2

Model card

From the Hugging Face model README

image-text-captcha-v2

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: 0.5030
Cer: 0.0588

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
13.43	1.0	373	0.6973	0.1290
0.6695	2.0	746	0.5942	0.1082
0.2885	3.0	1119	0.5038	0.0930
0.2885	4.0	1492	0.4981	0.0636
0.0946	5.0	1865	0.5030	0.0588

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Jun 2, 2023
Updated: Sep 11, 2023