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donut-base-sroie

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: 1.8229

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: 20

Training results

Training Loss Epoch Step Validation Loss
4.1301 1.0 73 4.2545
1.8221 2.0 146 2.3995
0.9406 3.0 219 1.9901
1.3708 4.0 292 1.7363
0.9771 5.0 365 1.6777
0.5417 6.0 438 1.6835
0.9799 7.0 511 1.6810
0.8556 8.0 584 1.6444
0.4318 9.0 657 1.6896
0.3058 10.0 730 1.7384
0.6697 11.0 803 1.7513
0.3883 12.0 876 1.7887
0.166 13.0 949 1.8229

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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