DDTdonut-testTeresaFESTO2-tmp

alexbeta80/DDTdonut-testTeresaFESTO2-tmp

DDTdonut-testTeresaFESTO2-tmp is a image-text-to-text model from alexbeta80. 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-testTeresaFESTO2-tmp

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: 0.0448

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
3.3146	1.0	31	0.7893
0.7814	2.0	62	0.3059
0.5265	3.0	93	0.1255
0.4134	4.0	124	0.0502
0.3517	5.0	155	0.0448

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
License: mit
Created: Mar 15, 2024
Updated: Mar 15, 2024