x_rotatedv2

aravind-selvam/x_rotatedv2

x_rotatedv2 is a image-text-to-text model from aravind-selvam. 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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At a glance

Task: Image-Text-to-Text
Library: transformers
License: mit
Model type: vision-encoder-decoder
Access: Public
Created: May 24, 2023
Updated: May 24, 2023
SHA: d829c1a8

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Datasets

imagefolder

Model card

From the Hugging Face model README

x_rotatedv2

This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1377
Cer: 0.0410

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.1068	1.0	1000	0.1668	0.0419
0.0613	2.0	2000	0.1441	0.0428
0.0418	3.0	3000	0.1364	0.0387
0.0285	4.0	4000	0.1377	0.0410

Framework versions

Transformers 4.27.4
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: May 24, 2023
Updated: May 24, 2023