donut_employee_info_v1

accavdar/donut_employee_info_v1

donut_employee_info_v1 is a image-text-to-text model from accavdar. 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. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

212

Public

Parameters

202M

809 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors809 MB · 100%

Parameter types

How the weights are stored.

F32202M · 100%

Try a prompt

Base models

naver-clova-ix/donut-base

Model card

From the Hugging Face model README

donut_employee_info_v1

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

Loss: 0.1224

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: 2
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

Training results

Training Loss	Epoch	Step	Validation Loss
1.1485	1.25	50	0.6847
0.4124	2.5	100	0.2854
0.2662	3.75	150	0.1829
0.1875	5.0	200	0.1485
0.152	6.25	250	0.1326
0.1194	7.5	300	0.1360
0.1045	8.75	350	0.1255
0.0684	10.0	400	0.1224

Framework versions

Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: Nov 14, 2023
Updated: Nov 14, 2023