donut_marriage_mixed_512-128_003 – AI Model by vishnu027 | AlphaNeural AI

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vishnu027/
donut_marriage_mixed_512-128_003

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vision-encoder-decoder

generated_from_trainer

naver-clova-ix/donut-base

endpoints_compatible

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donut_marriage_mixed_512-128_003

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: 0.1388

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: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7548	1.0	256	0.3804
0.1097	2.0	512	0.2123
0.1566	3.0	768	0.2084
0.0439	4.0	1024	0.1663
0.125	5.0	1280	0.1685
0.0031	6.0	1536	0.1349
0.0042	7.0	1792	0.1363
0.0803	8.0	2048	0.1534
0.0089	9.0	2304	0.1400
0.0261	10.0	2560	0.1418
0.0002	11.0	2816	0.1388

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0