DDTdonut-CTS-577img-5Epochs

tedad09/DDTdonut-CTS-577img-5Epochs

DDTdonut-CTS-577img-5Epochs is a image-text-to-text model from tedad09. 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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Base models

naver-clova-ix/donut-base

Datasets

imagefolder

Model card

From the Hugging Face model README

DDTdonut-CTS-577img-5Epochs

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: 0.0416

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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6058	1.0	288	0.2755
0.606	2.0	576	0.1188
0.364	3.0	864	0.0971
0.2438	4.0	1152	0.0955
0.2051	5.0	1440	0.0416

Framework versions

Transformers 4.38.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: Jun 6, 2024
Updated: Jun 6, 2024