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