TrOCR_0216

yoon1000/TrOCR_0216

TrOCR_0216 is a image-text-to-text model from yoon1000. 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: Feb 16, 2024
Updated: Feb 16, 2024
SHA: 412eb0d6

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Base models

microsoft/trocr-base-stage1

Model card

From the Hugging Face model README

TrOCR_0216

This model is a fine-tuned version of microsoft/trocr-base-stage1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8095
Cer: 0.0608

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.626	0.5	500	0.9106	0.1848
0.5456	1.0	1000	0.7220	0.1927
0.4588	1.5	1500	0.7064	0.1240
0.6771	2.0	2000	0.7207	0.2169
0.3778	2.5	2500	0.6689	0.1283
0.4543	3.0	3000	0.6833	0.3052
0.4428	3.5	3500	0.6604	0.0893
0.4899	4.0	4000	0.7024	0.0692
0.2548	4.5	4500	1.0137	0.1599
0.0851	5.0	5000	1.8095	0.0608

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.13.0
Tokenizers 0.15.0

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Feb 16, 2024
Updated: Feb 16, 2024