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donut-vishnu_hwr3

This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1246

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0967 1.0 185 0.1919
0.1843 2.0 370 0.1281
0.0893 3.0 555 0.1277
0.1123 4.0 740 0.1331
0.0158 5.0 925 0.1111
0.0101 6.0 1110 0.1287
0.0205 7.0 1295 0.1201
0.0055 8.0 1480 0.1291
0.0096 9.0 1665 0.1231
0.016 10.0 1850 0.1246

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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202M params
Tensor type
I64
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F32
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