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donut-base-vishnu2

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: 1.6822

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: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.5134 1.0 137 2.8022
3.0637 2.0 274 1.8503
0.9705 3.0 411 1.6708
0.889 4.0 548 1.5365
0.3093 5.0 685 1.5766
0.1843 6.0 822 1.4999
0.7406 7.0 959 1.4946
2.8585 8.0 1096 1.5358
0.8517 9.0 1233 1.6042
0.7837 10.0 1370 1.6064
0.4483 11.0 1507 1.6338
0.5618 12.0 1644 1.6822

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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